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Identification and functional analysis of novel biomarkers related to retinal neovascularization in proliferative diabetic retinopathy. 增殖性糖尿病视网膜病变视网膜新生血管相关新生物标志物的鉴定和功能分析。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-09 DOI: 10.1177/09287329241296705
Shengnan Zhang, Wenqi Song, Bingyao Huang, Tao Wang, Chao Sun
{"title":"Identification and functional analysis of novel biomarkers related to retinal neovascularization in proliferative diabetic retinopathy.","authors":"Shengnan Zhang, Wenqi Song, Bingyao Huang, Tao Wang, Chao Sun","doi":"10.1177/09287329241296705","DOIUrl":"https://doi.org/10.1177/09287329241296705","url":null,"abstract":"<p><p>BackgroundProliferative diabetes retinopathy (PDR) seriously affects the vision of patients. Exploring the key genes of retinal neovascularization is crucial for developing new biomarkers and therapeutic targets.ObjectiveThis study aimed to identify key genes associated with retinal neovascularization in Proliferative Diabetic Retinopathy (PDR), intending to develop new biomarkers and therapeutic targets. This would further our understanding of the progression of diabetic retinopathy and improve patient prognosis.MethodsThe gene data from 36 diabetic retinopathy patient samples and 45 samples from healthy volunteers or diabetic patients were selected from the GEO DataSets (Gene Expression Omnibus), specifically datasets GSE102485 and GSE160310. Utilizing the SVA algorithm to merge datasets and the limma package in R to identify differentially expressed genes (DEGs), we conducted a bioinformatic analysis of diabetic retinopathy. Functional insights were gained through DAVID database analyses, while STRING database-derived Protein-Protein Interaction (PPI) networks visualized in Cytoscape provided further context. Key genes were identified through LASSO regression and SVM analyses, with ROC curves assessing their diagnostic value. Single gene set enrichment analysis (GSEA) enhanced our understanding of the perturbed biological processes and pathways, advancing knowledge of diabetic retinopathy at the genomic level.ResultsA rigorous bioinformatic analysis yielded a comprehensive list of 1139 differentially expressed genes (DEGs), of which six pivotal genes-KDM5D, AC007040.11, AC015688.3, NLRP2, GYPC, and TMSB4Y-were identified as central to the study. These six genes consistently demonstrated a high diagnostic accuracy, with each exhibiting an area under the receiver operating characteristic (ROC) curve (AUC) exceeding 0.75. Gene Ontology (GO) enrichment analysis elucidated their primary roles in intricate biological processes, including inflammatory and immune responses, T-cell activation, cell apoptosis, and angiogenesis. Moreover, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment revealed their involvement in crucial signaling cascades such as cytokine-cytokine receptor interactions, cell adhesion molecule pathways, PI3K-Akt signaling, and hematopoietic cell lineage, further substantiating their significance in the pathogenesis of diabetic retinopathy.<b>Conclusions:</b> In this research, we conducted a comprehensive gene expression analysis in patients with and without PDR, identifying differentially expressed genes, pivotal biomarkers, and critical pathways potentially involved in PDR progression. Our findings enhance understanding of PDR's molecular dynamics and offer potential avenues for improved prognostication and therapeutic intervention, despite limitations due to sample group heterogeneity.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1274-1287"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143994028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
BCD-TransNet: Automatic breast cancer detection and classification using transfer learning approach. BCD-TransNet:使用迁移学习方法的乳腺癌自动检测和分类。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-25 DOI: 10.1177/09287329241296354
Amanullakhan M, Sridhar P, Indra J, Sridevi R
{"title":"BCD-TransNet: Automatic breast cancer detection and classification using transfer learning approach.","authors":"Amanullakhan M, Sridhar P, Indra J, Sridevi R","doi":"10.1177/09287329241296354","DOIUrl":"https://doi.org/10.1177/09287329241296354","url":null,"abstract":"<p><p>Breast Cancer (BC) is a predominant form of cancer diagnosed in women and one of the deadliest diseases. The important cause of death owing to the cancer amongst women is BC. However, the existing ML techniques are very challenge evaluate the performance of the classification of BC and difficult task for early diagnosis. To overcome this challenge, transfer learning framework have been broadly applied to histopathological images for classifying tumour. So, in this research a novel BC Detection using Transfer learning network (BCD-TransNet) is introduced to identify and classify BC stages. Initially, the histopathological images from BreakHis dataset are pre-processed using stationary wavelet based Retinex (SWR) for eliminating the noise and progress the image quality. The noise-free images are segmented using the Hybrid Greedy Snake-Krill Herd Optimization (HGS-KHO) algorithm. The BCD-TransNet model that incorporates with five different pre-trained networks in which the knowledge attained by each model is transfer to next network for extracting the most relevant features. This detection model has two different phases namely first level classification for identifying benign and malignant cells and the second level classification for identifying the different types in benign and malignant. Finally, the ML-based Decision tree is used to detect the stages of breast tumour. From the simulation analysis, the BCD-TransNet present well accuracy of 99.31% for the classification of breast tumour. The proposed Transfer learning-based BCD-TransNet model improves the overall accuracy 2.11%, 13.31%, 1.82% better than DLA-EABA, Pa-DBN-BC, TTCNN respectively<b>.</b></p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1489-1508"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Surgical planning in HTO - alternative approaches to the Fujisawa gold-standard. HTO 的手术规划--藤泽黄金标准的替代方法。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-09 DOI: 10.1177/09287329241299568
Igor Komnik, Johannes Funken, Stefan Zachow, Rüdiger Schmidt-Wiethoff, Andree Ellermann, Wolfgang Potthast
{"title":"Surgical planning in HTO - alternative approaches to the Fujisawa gold-standard.","authors":"Igor Komnik, Johannes Funken, Stefan Zachow, Rüdiger Schmidt-Wiethoff, Andree Ellermann, Wolfgang Potthast","doi":"10.1177/09287329241299568","DOIUrl":"10.1177/09287329241299568","url":null,"abstract":"<p><p>BackgroundPresurgical planning of the correction angle plays a decisive role in a high tibial osteotomy, affecting the loading situation in the knee affected by osteoarthritis. The planning approach by Fujisawa et al. aims to adjust the weight-bearing line to achieve an optimal knee joint load distribution. While this method is accessible, it may not fully consider the complexity of individual dynamic knee-loading profiles. This review aims to disclose existing alternative HTO planning methods that do not follow Fujisawa's standard.MethodsPubMed, Web of Science and CENTRAL databases were screened, focusing on HTO research in combination with alternative planning approaches.ResultsEight out of 828 studies were included, with seven simulation studies based on finite element analysis and multi-body dynamics. The planning approaches incorporated gradual degrees of realignment parameters (weight-bearing line shift, medial proximal tibial angle, hip-knee-ankle, knee joint line orientation), simulating their effect on knee kinematics, contact force/stress, Von Mises and shear stress. Two studies proposed implementing individual correction magnitudes derived from preoperatively predicted knee adduction moments.ConclusionMost planning methods depend on static alignment assessments, neglecting an adequate loading-depending profile. They are confined to their conceptual phases, making the associated planning methods unviable for current clinical use.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1571-1583"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effect of Internet + nursing intervention based on pre-rehabilitation strategy on quality of life and cognitive function of postoperative glioma patients. 基于康复前策略的互联网+护理干预对胶质瘤术后患者生活质量和认知功能的影响。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-03 DOI: 10.1177/09287329241296703
Yan Li, Yan Wang, Chaofeng Fan
{"title":"Effect of Internet + nursing intervention based on pre-rehabilitation strategy on quality of life and cognitive function of postoperative glioma patients.","authors":"Yan Li, Yan Wang, Chaofeng Fan","doi":"10.1177/09287329241296703","DOIUrl":"10.1177/09287329241296703","url":null,"abstract":"<p><p>BackgroundIncorporating a pre-rehabilitation strategy, internet-based nursing intervention allows patients to engage with nurses through online platforms.ObjectiveTo explore the effect of Internet + nursing intervention based on pre-rehabilitation strategy on postoperative quality of life and cognitive function of patients with glioma.Methods100 patients with gliomas treated in our hospital from Jan 2021 to Sep 2023 were selected. The patients were randomly divided into two groups (<i>n</i> = 50). The control group was treated with routine nursing intervention. The observation group took Internet + nursing intervention based on pre-rehabilitation strategy on the basis of the control group. The general data, the score of self-management ability before and after intervention, the cognitive function before and after operation and the quality of life one month after discharge were compared between the two groups. The influencing factors of postoperative quality of life and cognitive function were analyzed by Logistics regression.ResultsThere was no significant difference in the general data and the score of self-management ability between the two groups before intervention, but there was significant difference in the score of self-management ability after intervention. The results of binary Logistics regression analysis showed that the scores of self-management ability were independent factors affecting the outcome of patients with glioma. The scores of cognitive function and quality of life one month after discharge in the observation group were significantly better than those in the other (<i>P</i> < 0.05).ConlclusionsInternet + nursing intervention based on pre-rehabilitation strategy can improve the quality of life of glioma patients after operation and reduce the effect of operation on cognitive function of glioma patients.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1268-1273"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Securing healthcare data: A federated learning framework with hybrid encryption in cluster environments. 保护医疗保健数据:在集群环境中使用混合加密的联邦学习框架。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-11-25 DOI: 10.1177/09287329241291397
C Srivenkateswaran, A Jaya Mabel Rani, R Senthil Kumaran, R Vinston Raja
{"title":"Securing healthcare data: A federated learning framework with hybrid encryption in cluster environments.","authors":"C Srivenkateswaran, A Jaya Mabel Rani, R Senthil Kumaran, R Vinston Raja","doi":"10.1177/09287329241291397","DOIUrl":"https://doi.org/10.1177/09287329241291397","url":null,"abstract":"<p><p>The study's novel contribution is the development and evaluation of a hybrid encryption scheme combining Elliptic Curve Cryptography (ECC) with the Serpent symmetric encryption algorithm, demonstrating enhanced security and performance for safeguarding healthcare data in cluster environments while ensuring scalability, interoperability, and compliance with HIPAA regulations. The primary objectives include assessing the suitability of the ECC-Serpent hybrid encryption for safeguarding healthcare data, ensuring the scalability and interoperability of this encryption solution with existing healthcare systems, and implementing secure communication channels within cluster environments. The combination of Elliptic Curve Cryptography (ECC) and the Serpent algorithm leverages ECC's efficient key management and Serpent's robust symmetric encryption to provide enhanced security and performance, ensuring scalable and resilient data protection in cluster environments. This hybrid approach addresses both key distribution efficiency and high encryption strength, which are critical for securing sensitive healthcare data. This hybrid approach addresses key distribution efficiency and high encryption strength, which are critical for securing sensitive healthcare data. The study employs a hierarchical key management strategy, utilizing ECC for secure key exchange and distribution, paired with regular key rotation and storage practices to maintain compliance with HIPAA regulations and ensure the ongoing protection of sensitive healthcare data. Overall, the research underscores the critical need for healthcare organizations to adhere to HIPAA regulations and implement robust encryption measures to protect patient privacy and secure sensitive medical information. The study concludes that the ECC-Serpent hybrid encryption scheme is a viable and effective solution for enhancing healthcare data security in cluster environments, ensuring both data integrity and regulatory compliance. The implemented Python framework yielded promising results, the key finding is that the ECC-Serpent hybrid encryption scheme is a viable and effective solution for enhancing healthcare data security in cluster environments, achieving an accuracy rate of 97.5% in safeguarding patient data.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1232-1257"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144033921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prognostic significance of glycosylation-related genes as risk markers in colon cancer. 糖基化相关基因作为结肠癌危险标志物的预后意义。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-25 DOI: 10.1177/09287329241296771
Hui Chen, Liang Luo, Chen Wu, GangQiang Ying, Yuan Wang, Jin Chen, HangYu Zhou, Fangxing Peng
{"title":"Prognostic significance of glycosylation-related genes as risk markers in colon cancer.","authors":"Hui Chen, Liang Luo, Chen Wu, GangQiang Ying, Yuan Wang, Jin Chen, HangYu Zhou, Fangxing Peng","doi":"10.1177/09287329241296771","DOIUrl":"https://doi.org/10.1177/09287329241296771","url":null,"abstract":"<p><p>ObjectiveA frequent post-translational alteration of proteins called glycosylation has been strongly linked to the development and progression of cancer. Targeting glycosylation may improve cancer treatment outcomes. This study intended to investigate relationship and prognostic significance of glycosylation-related gene set features with colon cancer survival, immunity, drug sensitivity, etc.Methods524 colon cancer patients were included from TCGA database as training cohort. GSE29621 was external validation cohort. Univariate analysis, LASSO, multivariate regression analysis, K-M survival curve, and ROC curve analysis were used to construct and validate a glycosylation-related gene-based riskscore prognostic model. The CIBERSORT method and TIDE algorithm were utilized to analyze and evaluate differences in immune levels between high- and low-risk groups and their response to immunotherapy. Based on the DSigDB database, potential drugs with potential targeting effects on the prognostic model genes were predicted.ResultsAccording to a series of regression analyses, we constructed a prognostic model with six glycosylation genes. The model showed favorable prognostic prediction ability in both training and validation sets. Relevant to high-risk group, low-risk group presented better survival rates, higher immune cell infiltration levels, lower TIDE scores, and a higher proportion of patients with potential response to immunotherapy. In addition, potential anti-tumor drugs such as 67526-95-8, verteportin, uracil, Pemetrexed disodium, and fisetin were screened through the DSigDB database.ConclusionIn summary, a validated prognostic model for colon cancer was constructed with glycosylation genes. The model could act as an independent prognostic factor for colon cancer.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1431-1443"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development and application of an intelligent pressure injury assessment system using AI image recognition. 基于AI图像识别的压力损伤智能评估系统的开发与应用。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-09 DOI: 10.1177/09287329241296350
Xiaofang Ge, Liping Du, Shuangqin Zheng, Aili Shi
{"title":"Development and application of an intelligent pressure injury assessment system using AI image recognition.","authors":"Xiaofang Ge, Liping Du, Shuangqin Zheng, Aili Shi","doi":"10.1177/09287329241296350","DOIUrl":"10.1177/09287329241296350","url":null,"abstract":"<p><p>BackgroundPressure injuries are a significant concern in clinical settings, requiring accurate assessment to prevent complications. Traditional assessment methods are often subjective and time-consuming.ObjectiveThis study aimed to develop and evaluate an AI-based intelligent system for assessing pressure injuries, focusing on improving accuracy and efficiency compared to traditional methods.MethodsThe study involved 108 ICU patients, divided into control and experimental groups. The control group used traditional assessment methods, while the experimental group used an AI-based system with deep learning algorithms which is built upon a convolutional neural network (CNN). The accuracy, efficiency, and integration of the AI system with electronic medical records were analyzed.ResultsThe AI system achieved an accuracy of 90%, outperforming traditional methods which had an accuracy of 81.2%. The system also significantly reduced the assessment time, improving the overall efficiency of pressure injury evaluation.ConclusionThe AI-based system demonstrated superior accuracy and efficiency in pressure injury assessment, offering a valuable tool for clinical use. Further research is needed to expand the system's application to other types of wounds.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1358-1366"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dental Practitioners behaviour, perspective and treatment approach towards management of TMJ Disorders - An observational study. 牙科医生对颞下颌关节疾病管理的行为、观点和治疗方法-一项观察性研究。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-22 DOI: 10.1177/09287329241301651
Shivani Shivajirao Deshmukh, Manisha Mangesh Kulkarni, Amrita Pandita Bhatia, Khalil Ibrahim Assiri, Ghazala Suleman, Mudita Chaturvedi, Abdulrahman Yahya Alshahrani, Ashfaq Yaqoob, Fawaz Abdul Hamid Baig, Mohasin Abdul Khader
{"title":"Dental Practitioners behaviour, perspective and treatment approach towards management of TMJ Disorders - An observational study.","authors":"Shivani Shivajirao Deshmukh, Manisha Mangesh Kulkarni, Amrita Pandita Bhatia, Khalil Ibrahim Assiri, Ghazala Suleman, Mudita Chaturvedi, Abdulrahman Yahya Alshahrani, Ashfaq Yaqoob, Fawaz Abdul Hamid Baig, Mohasin Abdul Khader","doi":"10.1177/09287329241301651","DOIUrl":"10.1177/09287329241301651","url":null,"abstract":"<p><p>BackgroundTMJ disorders often involve a multidisciplinary approach, clear understanding is a must for the treatment of TMDs. This study aimed to assess the behaviour, perspective and treatment approach of Dental Practitioners towards the management of TMJ Disorders. This would help in developing the census about the knowledge level and attitude towards TMD among dental practitioners.MethodsA comprehensive cross-sectional investigation involving 1030 dentists was conducted through the implementation of a meticulously designed survey instrument created using Google Forms. The questionnaire contained 17 closed-ended questions with the ability to mark more than one option in a few questions. the first 5 questions (Q1-Q5) determined the behaviour of Dental practitioners when they initially face TMD patients, (Q6-Q8) were asked to determine the perspective regarding cause-effect relationship in TMD disorder,(Q10-Q17) determined the treatment approach of Dental practitioners. Dichotomic answers were compared using a binomial test and multiple answers were evaluated using a Clopper-Pearson test with significance set at p < 0.05.Results77.7% of participants reported that they receive potential TMD patients in their office most frequently found aetiology for the pain was occlusal discrepancy (48.5%) followed by trauma (39.8%). The most commonly referred specialities were maxillofacial surgery (57.3%) and Prosthodontics (29.1%). The majority of the Practitioners treated their TMD patients with occlusal splints.ConclusionThe management of TMJ disorders requires a comprehensive and interdisciplinary approach. Practitioners clarified that TMD patients were mostly treated with conservative measures using occlusal splints. However, the dentist should have cooperative behaviour and a clear perspective for the proper management of TMDs.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1408-1420"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research and application of an indoor fingerprinting localization system for rehabilitation care monitoring. 室内康复护理监测指纹定位系统的研究与应用。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-25 DOI: 10.1177/09287329241296240
Zihao Shi, Changqing Gao, Xiaofei Xu, Bo Yang, Huanyou Liu
{"title":"Research and application of an indoor fingerprinting localization system for rehabilitation care monitoring.","authors":"Zihao Shi, Changqing Gao, Xiaofei Xu, Bo Yang, Huanyou Liu","doi":"10.1177/09287329241296240","DOIUrl":"https://doi.org/10.1177/09287329241296240","url":null,"abstract":"<p><p>A ZigBee-based indoor localization system is designed for monitoring the care of patients with mental illnesses such as post-stroke. Due to the severe cognitive impairment of these patients, continuous monitoring by healthcare professionals is essential to ensure their safety and well-being. It is crucial to track their precise location coordinates to prevent any potential accidents. The localization system utilizes the location fingerprint localization method, which involves collecting a location fingerprint database and conducting real-time localization using Received Signal Strength (RSS). To minimize RSS fluctuations, Kalman filter combined with Mean filter is employed. Additionally, an improved Nearest Neighbor algorithm is implemented to enhance the accuracy of localization. C# is used to build the upper computer interface to realize the visualization function of indoor localization, which is convenient for users to view the coordinate location of the mobile nodes and the action trajectory. Ultimately, the localization system undergoes error analysis via a localization experiment. Mobile nodes are deployed to follow a predetermined route within the localization area, and their movement patterns are visualized using the localization interface.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1462-1477"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advancing brain tumor detection and classification in Low-Dose CT images using the innovative multi-layered deep neural network model. 利用创新的多层深度神经网络模型推进低剂量CT图像中脑肿瘤的检测和分类。
IF 1.4 4区 医学
Technology and Health Care Pub Date : 2025-05-01 Epub Date: 2024-12-29 DOI: 10.1177/09287329241302558
Katari Balakrishna, A Nagaraja Rao
{"title":"Advancing brain tumor detection and classification in Low-Dose CT images using the innovative multi-layered deep neural network model.","authors":"Katari Balakrishna, A Nagaraja Rao","doi":"10.1177/09287329241302558","DOIUrl":"https://doi.org/10.1177/09287329241302558","url":null,"abstract":"<p><p>BackgroundEffective brain tumour therapy and better patient outcomes depend on early tumour diagnosis. Accurate diagnosis can be hampered by traditional imaging techniques' frequent struggles with low resolution and noise, especially in Low Dose CT scans.<b>Objectives:</b> Through the integration of deep learning methods and sophisticated image processing techniques, this study seeks to establish a novel framework, the Multi Layered Chroma Edge Deep Net (MLCED-Net), to improve the accuracy of brain tumour diagnosis in Low Dose CT images.MethodsUsing the Lucy-Richardson technique for picture deblurring, Adaptive Histogram Equalisation, and pixel normalization to lower noise and enhance image quality are some of the pre-processing stages that are part of the suggested strategy. Main characteristics from the processed pictures are then retrieved, including mean, energy, contrast, and entropy. Following the feeding of these characteristics, the MLCED-Net model is used for classification and segmentation tasks. It utilises a 15-layer deep learning architecture.ResultsThe MLCED-Net model outperformed previous techniques by achieving an amazing accuracy rate of 98.9% in the detection of brain tumours. The suggested procedures were effective, as seen by the significant increases in image quality that the Peak Signal-to-Noise Ratio (PSNR) values showed after post-processing.<b>Conclusions:</b> A reliable method for brain tumour diagnosis in low-dose CT scans is offered by the MLCED-Net framework's combination of multi-layered autoencoders, color-based operations, and edge detection techniques. The present work underscores the capacity of sophisticated deep learning models to augment diagnostic precision, hence augmenting patient care and results.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":"33 3","pages":"1199-1220"},"PeriodicalIF":1.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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