Technology and Health Care最新文献

{"title":"Utilizing machine learning algorithms to identify biomarkers associated with Alzheimer's disease and ferroptosis-related genes.","authors":"Di Wang, Chunsheng Lin, Gang Liu, Xin Wang, Shengwang Han, Zengxin Han","doi":"10.1177/09287329251322278","DOIUrl":"https://doi.org/10.1177/09287329251322278","url":null,"abstract":"<p><strong>Background: </strong>Alzheimer's disease (AD) is a complex neurodegenerative disorder that complicates our understanding of its origins. Identifying AD-specific biomarkers can reveal its mechanisms and foster the development of innovative diagnostics and therapies, aiming to unlock new ways to combat this pervasive condition.</p><p><strong>Methods: </strong>We analyzed gene expression data using Weighted Gene Co-expression Network Analysis (WGCNA) and machine learning (random forest, lasso regression, and SVM-REF) to differentiate AD patients from controls and explore gene functions.</p><p><strong>Results: </strong>We identified 641 differentially expressed genes (DEGs) and 22 co-expressed genes, with functional enrichment analysis revealing their involvement in immune responses. Notably, EGR1 emerged as a potential diagnostic and therapeutic target.</p><p><strong>Conclusion: </strong>In our study, we applied WGCNA, DEGs and diverse machine learning approaches to uncover potential biomarkers linked to Alzheimer's Disease (AD) and ferroptosis. A particular hub gene emerged as a promising candidate for novel diagnostic and therapeutic markers specifically within the context of ferroptosis in AD. This discovery sheds new light on the pathogenesis of AD, potentially facilitating the development of groundbreaking diagnostic and therapeutic techniques.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251322278"},"PeriodicalIF":1.4,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537974","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}

{"title":"Detection of retinal nerve fiber layer in patients with high myopia complicated with glaucoma by optical coherence tomography.","authors":"Xin Wang, Yinglang Zhang, Hongbo Hu, Ning Wei","doi":"10.1177/09287329241296770","DOIUrl":"https://doi.org/10.1177/09287329241296770","url":null,"abstract":"<p><strong>Objective: </strong>To detect the changes in the thickness of the Retinal Nerve Fiber Layer (RNFL) in patients with High Myopia (HM) complicated with glaucoma through Optical Coherence Tomography (OCT).</p><p><strong>Methods: </strong>80 patients (160 eyes) with HM complicated with glaucoma treated from March 2018 to March 2020 were enrolled as the experimental group, and 60 healthy volunteers (120 eyes) undergoing physical examination in the same period were selected as the control group. OCT measured their RNFL thicknesses.</p><p><strong>Results: </strong>Compared with that in the control group, the nasal, supratemporal, subnasal, supranasal, and infratemporal RNFL thickness and overall mean RNFL thickness in the experimental group was significantly decreased, while the temporal RNFL thickness was significantly increased in the experimental group (<i>P </i>< 0.05). According to the diopter, patients in the experimental group were assigned into group A (<i>n </i>= 25, 50 eyes, diopter range: ≥ -6.00 D and ≤ -8.00 D), group B (<i>n</i> = 30, 60 eyes, diopter range: > -8.00 D and ≤ -10.00 D) and group C (<i>n</i> = 25, 50 eyes, diopter range: > -10.00 D). The nasal, supratemporal, subnasal, supranasal, and infratemporal RNFL thickness and overall mean RNFL thickness in group A were significantly greater than those in groups B and C (<i>P</i> < 0.05). Spearman correlation analysis revealed that the absolute value of diopter was negatively correlated with the nasal, supratemporal, subnasal, supranasal, and infratemporal RNFL thickness and overall mean RNFL thickness (<i>P</i> < 0.05), and positively correlated with the thickness of temporal RNFL (<i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>In patients with HM complicated with glaucoma, RNFL is thinner in all quadrants except for temporal RNFL.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241296770"},"PeriodicalIF":1.4,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544210","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}

{"title":"Machine learning for improved medical device management: A focus on infant incubators.","authors":"Lemana Spahić, Una Sredović, Zijad Kurpejović, Emina Mrdanović, Gurbeta Pokvić, Almir Badnjević","doi":"10.1177/09287329241292168","DOIUrl":"https://doi.org/10.1177/09287329241292168","url":null,"abstract":"<p><strong>Background: </strong>Poorly regulated and insufficiently maintained medical devices (MDs) carry high risk on safety and performance parameters impacting the clinical effectiveness and efficiency of patient diagnosis and treatment. As infant incubators are used as a form of fundamental healthcare support for the most sensitive population, prematurely born infants, special care mus be taken to ensure their proper functioning. This is done through a standardized process of post-market surveillance.</p><p><strong>Objective: </strong>To address the issue of faulty infant incubators being undetected and used between yearly post-market surveillance, an automated system based on machine learning was developed for prediction of infant incubator performance status.</p><p><strong>Methods: </strong>In total, 1997 samples were collected during the inspection process of infant incubator inspections performed by an ISO 17020 accredited laboratory at various healthcare institutions in Bosnia and Herzegovina. Various machine learning algorithms were considered, including Decision Tree (DT), Random Forest (RF), Naïve Bayes (NB) and Logistic Regression (LR) for the development of the automated system.</p><p><strong>Results: </strong>The aforementioned algorithms were selected because of their ability to handle large datasets and their potential for achieving high prediction accuracy. The 0.93 AUC of Naïve Bayes indicates that it is overall stronger in predictive capabilities than decision tree and random forest which displayed superior accuracy in comparison to Naïve Bayes.</p><p><strong>Conclusion: </strong>The results of this study demonstrate that machine learning algorithms can be effectively used to predict infant incubator performance status on the basis of measurements taken during post-market surveillance. Adoption of these automated systems based on artificial intelligence will help in overcoming challenges of ensuring quality of infant incubators that are already being used in healthcare institutions.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241292168"},"PeriodicalIF":1.4,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537954","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}

{"title":"The study of transitional care on the psychological state of patients with advanced lung cancer chemotherapy.","authors":"A-Mao Tang, Miao Wang, Li Ning, Lijun Lin, Yi-Min Li","doi":"10.1177/09287329251314258","DOIUrl":"https://doi.org/10.1177/09287329251314258","url":null,"abstract":"<p><strong>Background: </strong>Lung cancer is one of the malignant tumors with the highest morbidity and mortality worldwide. Patients with an advanced stage need to face negative effects from chemotherapy, dread of dying, weakened role function and physical and mental suffering.</p><p><strong>Objectives: </strong>To examine the effect of transitional care on the psychological state of patients with advanced lung cancer chemotherapy.</p><p><strong>Methods: </strong>Seventy-two patients with advanced lung cancer who underwent chemotherapy in our hospital were arbitrarily split into the experimental group (30 cases) and the control group (31 cases). The control group received routine discharge care, whereas the experimental group received transitional care. The scores were compared before the first chemotherapy, the day after the end of the first-cycle chemotherapy, and the third week after the end of the 4-week chemotherapy according to SCL-90, PSS, PFE-R, SES, QLQ-C30, the rate of unplanned re-diagnosis and nursing satisfactory.</p><p><strong>Results: </strong>There was no significant difference in all aspects of scores between the two groups before and after chemotherapy (P > 0.05). Whereas there were significant differences in emotional function, fatigue, insomnia, depression and interpersonal sensitivity between the two groups after 4 cycles of chemotherapy (P < 0.05). The scores of PSS and PFE-R decreased significantly in the two groups, and the SES and QLQ-C30 in the experimental group were significantly higher than those in the control group (all P < 0.05).</p><p><strong>Findings: </strong>Applying transitional care intervention can lessen patients' negative emotions since being discharged with advanced lung cancer following chemotherapy and diminish the rate of unplanned re-diagnosis.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251314258"},"PeriodicalIF":1.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143505233","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}

{"title":"Relationship of influenza virus to inflammatory factors and immune function in elderly patients with COPD: A retrospective analysis.","authors":"Yanrong Chen, Yun Shi, Liyang Dou, Yan Liu, Jing Zhang","doi":"10.1177/09287329251317307","DOIUrl":"https://doi.org/10.1177/09287329251317307","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this retrospective study was to investigate the relevance of influenza A virus (IAV) in acutely exacerbating airway inflammatory response and disrupting immune function in elderly COPD patients.</p><p><strong>Methods: </strong>The group conducted a pre-test: using multiplex combined real-time PCR detection kits Multiple real⁃time PCR was used to detect twenty-four pathogens, 385 patients clinically diagnosed with COPD were tested for viral nucleic acid in throat swabs. At the same time, peripheral blood leukapheresis was collected from both groups of patients, and their IL-6, IL-8, IL-1β, and TNF-α levels were detected, along with the levels of T-cell differentiation markers CD4 and CD8, to assess the influence of influenza virus on the immune function of elderly COPD patients and its relevance to the acute exacerbation of airway inflammatory response in elderly COPD patients.</p><p><strong>Results: </strong>Results showed that the expression of inflammatory cytokines IL-6, IL-8, IL-1β and TNF-α was significantly higher in the viral group compared with the non-infected group (P < 0.05, P < 0.01). The levels of T cell differentiation type markers CD4 and CD8 were significantly lower in the infected group compared with the uninfected group.</p><p><strong>Conclusion: </strong>Influenza virus further exacerbated airway inflammatory response and decreased the immune function of T cells by activating intrinsic immune molecules such as IL-6, IL-8, IL-1β and TNF-α.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251317307"},"PeriodicalIF":1.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143505260","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}

{"title":"Technological integration in timing of endoscopy: Predictive modeling for acute upper gastrointestinal bleeding outcomes.","authors":"Yangde Miao, Ajun Gu, Guang Yu, Binbin Tang","doi":"10.1177/09287329251316050","DOIUrl":"https://doi.org/10.1177/09287329251316050","url":null,"abstract":"<p><strong>Background: </strong>Technological advancements have revolutionized the management of acute upper gastrointestinal bleeding (AUGIB). However, the impact of endoscopic timing on treatment outcomes remains a critical area of exploration.</p><p><strong>Objective: </strong>This study evaluated the role of endoscopic timing in improving treatment outcomes for AUGIB and introduces a predictive model incorporating clinical and technological insights.</p><p><strong>Methods: </strong>A retrospective analysis of AUGIB patients treated between December 2020 and December 2023 was conducted. Logistic regression identified significant predictors of outcomes, and receiver operating characteristic (ROC) analysis evaluated their predictive value. A predictive model was developed based on these findings.</p><p><strong>Results: </strong>Among 145 patients, 35 (24.1%) experienced rebleeding. Key predictors included endoscopic timing, active bleeding, shock on admission, and bleeding volume (p < 0.05). The predictive model demonstrated robust performance (C-index: 0.885, 95% CI: 0.810-0.956), emphasizing the clinical relevance of precise timing in endoscopic intervention.</p><p><strong>Conclusion: </strong>This study underscores the importance of integrating technology with clinical practice to optimize endoscopic timing and improve AUGIB outcomes. The predictive model offers a valuable tool for risk stratification and clinical decision-making in modern healthcare settings.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251316050"},"PeriodicalIF":1.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143505261","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}

{"title":"Clinical decision system for chronic kidney disease staging using machine learning.","authors":"E Chandralekha, T R Saravanan, N Vijayaraj","doi":"10.1177/09287329251316447","DOIUrl":"https://doi.org/10.1177/09287329251316447","url":null,"abstract":"<p><strong>Background: </strong>Chronic Kidney Disease (CKD) is a prevalent health condition that requires personalized treatment planning at each of its five stages. Machine Learning (ML) and Generative AI have shown promise in predicting CKD progression based on patient data. However, existing prediction models have limitations on generalizability, interpretability, and resource requirements.</p><p><strong>Objective: </strong>This study aims to develop a clinical support system using ML models to classify CKD stages accurately. The research focuses on feature selection strategies and model performance evaluation to enhance prediction accuracy and guide personalized treatment planning for CKD patients.</p><p><strong>Methods: </strong>The study utilizes ML algorithms, including Gradient Boosting, XGBoost, CatBoost, and GAN AML, to categorize CKD stages. Various feature selection techniques such as Recursive Feature Elimination, chi-square test, and SHAP are employed to identify relevant features for improved prediction accuracy. The models are evaluated based on precision, recall, F1-score, accuracy, and AUC-ROC metrics.</p><p><strong>Conclusions: </strong>The findings demonstrate the effectiveness of CatBoost and GAN AML in accurately classifying CKD stages, highlighting the importance of expert knowledge in selecting feature selection strategies to enhance ML model performance. Future research directions include validating diverse datasets, integrating with clinical practice, and improving interpretability and explainability in CKD prediction models.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251316447"},"PeriodicalIF":1.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143505258","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}

{"title":"FHD deep learning prognosis approach: Early detection of fetal heart disease (FHD) using ultrasonography image-based IROI combined multiresolution DCNN.","authors":"Someshwaran G, Sarada V","doi":"10.1177/09287329241310981","DOIUrl":"https://doi.org/10.1177/09287329241310981","url":null,"abstract":"<p><p>Fetal Heart Disease (FHD) is the most prevalent root cause of infant demise which accounts for 21% of all congenital abnormalities, with most instances being catastrophic, thereby rendering the need for early prognosis. Ultrasonography is the forefront imaging modality for assessing fetal growth in four-chamber and blood vessel malformation. Clinically diagnosing the abnormality is time-consuming and requires the skill of a radiologist. In subsequent, numerous preceding research strategies ideal to meta-heuristic and deep learning's Faster Artificial Neural Network (FANN), Dense Recurrent Neural Network (DRNN), Mask-Regional Convolution Neural Network (M RCNN) and Enhanced Deep Learning-assisted CNN aid in the identification of FHD. However, the prediction models have encountered multiple challenges owing to imprecise hinders and irrelevant adhesion. Hence, we propose the automated hierarchical network-driven findings of FHD in four-chamber and blood vessels using ultrasonic 2D imaging which undergoes 3 consequential processes of Enhanced-Adaptive Median Filtering (EAMF) pre-process concerning noise variations i.e., test for SNR distortion and image enhancement i.e., visual quality, Intensified Region of Interest (IROI) segmentation for exploiting feature selection via spatial mask-labeling and Multiresolution Deep Convolutional Neural Network (MDCNN) classification in the detection of diseased pattern via confusion metrics (CM). The lesion findings of CM is determined using MATLAB R2023b with an overall substantial efficiency of 99.79% in both normal and abnormal conditions with a significant potential to assist cardiologists in the prognosis of FHD.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241310981"},"PeriodicalIF":1.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143505259","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}

{"title":"Measuring Mini SmartApp usability for ankylosing spondylitis from the perspective of patients and health providers.","authors":"Zepu Wang, Longji Chen, Anqi Wang, Lin Cheng, Jiaxin Fan, Ting Fu, Yan Sang, Hongwu Shen","doi":"10.1177/09287329241312489","DOIUrl":"https://doi.org/10.1177/09287329241312489","url":null,"abstract":"<p><strong>Objective: </strong>To identify beneficial experiences, areas needing improvement, and potential additional value, with a view to providing a reference for the application of mobile health management in clinical practice.</p><p><strong>Methods: </strong>This study applied a mixed research approach to measure the mini smartApp usability among participants who were diagnosed with ankylosing spondylitis at rheumatology and immunology department of the Affiliated Hospital of Nantong University between October 2022 to March 2023 and research staff. This study lasted two weeks. We using the Post-Study System Usability Questionnaire (PSSUQ) and face-to-face semi-structured interview to evaluate the mini smartApp's usability.</p><p><strong>Results: </strong>Altogether 105 participants having follow-up data at 2 weeks were included, of which 94 were AS patients and 13 were research staff. All participants thought the mini SmartApp was useful, with regard to the scores of PSSUQ between baseline was 1.1 (SD:0.63) and 2-week intervention period was 0.98 (SD:0.53). Four themes emerged from test of usability, participants thought mini SmartApp easy to use and can bring several benefits. However, the theme of needing more useful function revealed that mini SmartApp need further improvement in future use.</p><p><strong>Conclusion: </strong>Overall, the mini SmartApp has the potential to be a valuable tool in assisting AS patients with home-based exercise and improving their overall management of the disease.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241312489"},"PeriodicalIF":1.4,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494388","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}

{"title":"Analysis of elderly patients with inter-trochanteric fracture and failure of postoperative internal fixation.","authors":"Xuepeng Xu, Xin Hu, Lincong Fei, Shi Shen","doi":"10.1177/09287329241307391","DOIUrl":"https://doi.org/10.1177/09287329241307391","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to compare the efficacy and safety of Proximal Femoral Nail Anti-Rotation (PFNA) versus Dynamic Hip Screw (DHS) in the treatment of intertrochanteric fractures (IF) in elderly patients. We specifically evaluate perioperative indicators, postoperative hip function, and the rate of internal fixation failure.</p><p><strong>Methods: </strong>300 elderly IF patients treated in our hospital from July 2018 to May 2022 were divided into the PFNA group (n = 150), control group (n = 150), PFNA group treated with PFNA, and control group treated with mobility hip screw (DHS). Perioperative bleeding, operation time, postoperative time and hospital time were observed in the two groups: fracture reduction, hip function at 1 and 6 months after surgery, and failure of internal fixation. Observe the postoperative internal fixation failure in the PFNA group.</p><p><strong>Results: </strong>The intraoperative blood loss, operation time, first postoperative time and hospital time in the PFNA group were less than in the control group (P < 0.05). One month after surgery, the Harris score of the PFNA group was less than that of the control group (P < 0.05); the Harris score was not different at 6 months (P > 0.05). The excellent rate of fracture reduction in the PFNA group was greater than that in the control group (P < 0.05). The failure rate of internal fixation in the PFNA group was less than that in the control group (P < 0.05). By univariate analysis, Sing Index classification, Evans classification, 25 min and underlying disease were risk factors for postoperative internal fixation failure in PFNA patients (P < 0.05). After multivariate Logistic regression analysis, Sing Index grade, Evans classification, and tip distance 25min were independent risk factors for postoperative internal fixation failure in PFNA patients (P < 0.05).</p><p><strong>Conclusion: </strong>The treatment of elderly IF patients with PFNA has the advantages of small trauma, good fracture reduction, firm internal fixation, low failure rate of internal fixation, and quick postoperative recovery. Sing index classification, Evans classification, and 25min tip distance mainly caused internal fixation failure in patients with PFNA.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241307391"},"PeriodicalIF":1.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460456","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}