Health Informatics Journal最新文献_第2页

A comparative study of neural network architectures for vital signs monitoring based on the national early warning systems (NEWS). 基于国家预警系统（NEWS）的生命体征监测神经网络体系结构比较研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-04-25 DOI: 10.1177/14604582251338176

Adel BenAbdennour

{"title":"A comparative study of neural network architectures for vital signs monitoring based on the national early warning systems (NEWS).","authors":"Adel BenAbdennour","doi":"10.1177/14604582251338176","DOIUrl":"https://doi.org/10.1177/14604582251338176","url":null,"abstract":"Objective: The study aims to assess the efficacy of various neural network architectures in predicting the National Early Warning Systems (NEWS) score, using vital signs, to enhance early warning and monitoring in clinical settings. Methods: A comparative evaluation of 29 neural network architectures, including Discriminant Analysis, Support Vector Machines, Logistic Regression, Decision Trees, Neural Networks, and Ensemble methods, was performed. These architectures were assessed based on accuracy, sensitivity, processing speed, model size, and execution time, using synthetically generated data representing 9000 clinical scenarios. Results: The analysis revealed that Linear Discriminant Analysis, narrow and medium Neural Networks, and specific Support Vector Machine (SVM) configurations, particularly Linear SVM, Quadratic SVM, and Coarse Gaussian SVM, achieved 100% accuracy and efficiency in predicting NEWS scores, making them suitable for real-time monitoring. Other architectures exhibited varying performance, with many failing to meet the required accuracy for clinical applications. Conclusion: The study identified Linear Discriminant Analysis and narrow and medium Neural Networks, along with Linear, Quadratic, and Coarse Gaussian SVMs, as optimal for integrating machine learning with NEWS, due to their precision, speed, and suitability for deployment in healthcare environments, particularly in Intensive Care Units.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251338176"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144013591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

A blockchain-based health insurance model enhanced with quadratic voting. 基于区块链的健康保险模型，增强了二次投票。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-02 DOI: 10.1177/14604582251339422

Saeed Shouri, Rasoul Ramezani

{"title":"A blockchain-based health insurance model enhanced with quadratic voting.","authors":"Saeed Shouri, Rasoul Ramezani","doi":"10.1177/14604582251339422","DOIUrl":"https://doi.org/10.1177/14604582251339422","url":null,"abstract":"Background: The health insurance industry faces challenges like inefficiencies, fraud, lack of transparency, and limited customization. With its decentralized structure, smart contracts, and immutable records, blockchain technology offers a transformative solution by enhancing transparency and operational efficiency. Objective: This study proposes a blockchain-based health insurance model to improve transparency, fairness, and efficiency while addressing existing limitations. Methods: The proposed framework integrates smart contracts with quadratic voting (QV) and advanced validation techniques, creating a democratic, secure, and customizable insurance process. Results: The model tailors personalized insurance plans to collective preferences using QV-based decision-making and dynamic pricing. Blockchain enhances trust and system reliability, while the inclusion of QV fosters inclusivity and fairness. Conclusion: By combining blockchain's decentralized architecture with QV, the proposed system overcomes the limitations of traditional insurance, offering a scalable, efficient, and equitable alternative that aligns individual preferences with societal health goals.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251339422"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 usability of a mobile artificial intelligence platform for the management of childhood developmental disorders based on PHRs. 基于PHRs的儿童发育障碍管理移动人工智能平台的开发和可用性

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-23 DOI: 10.1177/14604582251345331

Eun Kyung Choi, Haemi Choi, Jungun Kim, Hayeon Kim, Sung-Dong Kim, Eunhye Choi, Hyun Jung Kim, Min-Hyeon Park

{"title":"Development and usability of a mobile artificial intelligence platform for the management of childhood developmental disorders based on PHRs.","authors":"Eun Kyung Choi, Haemi Choi, Jungun Kim, Hayeon Kim, Sung-Dong Kim, Eunhye Choi, Hyun Jung Kim, Min-Hyeon Park","doi":"10.1177/14604582251345331","DOIUrl":"https://doi.org/10.1177/14604582251345331","url":null,"abstract":"Introduction: Emerging technologies, particularly artificial intelligence (AI), offer the potential to personalize healthcare for pediatric developmental disorders, but their development presents challenges. Methods: This study introduces IVORY, a mobile AI platform for managing personal health records (PHRs) in children with developmental disorders. IVORY integrates advanced optical character recognition (OCR)-based text recognition models optimized for diverse medical document types and template-matching algorithms, ensuring standardized data processing. The primary features include digitizing medical records, symptom interpretation, and AI-driven health recommendations. Results: Using pretrained OCR algorithms with 126 diverse medical report types, the platform achieved an OCR success rate of 81%. Input data include fMRI interpretations, psychological assessments, and laboratory findings, whereas outputs offer percentile-based insights and treatment recommendations. Caregivers (3.44 ± 0.67) and professionals (3.50 ± 0.63) highly rated the platform for usability. Conclusions: Despite OCR limitations for low-resolution data, IVORY has the potential to enhance data consolidation, accuracy, and scalability in personalized pediatric healthcare.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251345331"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Technology readiness and smart healthcare device usage intentions among Chinese elderly: A moderated mediation model of technology interactivity and subjective norms. 中国老年人的技术准备度与智能医疗设备使用意愿：技术互动性和主观规范的中介模型

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-23 DOI: 10.1177/14604582251344828

Sheng Sun, Xiaoyang Lyu, Jian Chen

{"title":"Technology readiness and smart healthcare device usage intentions among Chinese elderly: A moderated mediation model of technology interactivity and subjective norms.","authors":"Sheng Sun, Xiaoyang Lyu, Jian Chen","doi":"10.1177/14604582251344828","DOIUrl":"https://doi.org/10.1177/14604582251344828","url":null,"abstract":"Objective: Smart healthcare devices provide essential support for elderly health management, yet adoption barriers remain. This study investigates how technology readiness influences intention to use smart healthcare devices among Chinese seniors through technology interactivity, moderated by subjective norms. Methods: A cross-sectional survey involving 552 older participants from Wuxi, China, was analyzed using multiple linear regression and moderated mediation models. Results: The results showed that technology readiness significantly predicted usage intention and was fully mediated by technology interactivity. Subjective norms moderated the relationship between technology interactivity and usage intention, strengthening the indirect effect of technology readiness when subjective norms were high. Conclusion: The findings underscore the crucial role of technology interactivity in linking technology readiness to adoption, while subjective norms further reinforce this mechanism. To promote the adoption of smart healthcare devices, interventions should focus on enhancing technological literacy, fostering interactive user experiences, and leveraging community-driven social support. These findings contribute to resource conservation theory and provide policy insights to reduce digital disparities among aging populations.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251344828"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144133162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Unveiling patient-centric interactions in virtual consultation: A comprehensive text mining approach. 在虚拟咨询中揭示以患者为中心的互动：一种全面的文本挖掘方法。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 Epub Date: 2025-03-17 DOI: 10.1177/14604582251327093

Yuxi Vania Shi, Sherrie Komiak

{"title":"Unveiling patient-centric interactions in virtual consultation: A comprehensive text mining approach.","authors":"Yuxi Vania Shi, Sherrie Komiak","doi":"10.1177/14604582251327093","DOIUrl":"10.1177/14604582251327093","url":null,"abstract":"This study aims to explore patient perceptions and interactions with virtual consultation (VC) systems to understand the factors influencing their adoption and satisfaction. We analyzed 21,839 patient reviews from four major virtual consultation platforms-MDLive, Doctor on Demand, Maple, and HealthTap-collected from publicly accessible sources. Sentiment analysis, word frequency analysis, topic modeling using Latent Dirichlet Allocation (LDA), and association rule mining were used to extract insights. The findings reveal a generally positive sentiment among patients, with recurring themes focusing on app functionality and the important role of doctors in the virtual consultation experience. Virtual consultation systems were found to play a dual role: as a communicator during initial interactions and as a medium facilitating patient-doctor communication. The analysis also identified key doctor-related factors, categorized by the Theory of Planned Behavior, including attitudes (e.g., empathy), subjective norms (e.g., cultural competence), and perceived behavioral control (e.g., time management). The study provides valuable insights for enhancing healthcare system design and improving virtual consultation quality. However, limitations include potential bias in patient reviews, limited platform focus, and the lack of demographic data. Future research should explore advanced machine learning techniques and investigate relationships between different factors to improve virtual healthcare.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251327093"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Presentation suitability and readability of ChatGPT's medical responses to patient questions about on knee osteoarthritis. ChatGPT对患者膝关节骨关节炎问题的医学回应的呈现、适用性和可读性

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582251315587

Myungeun Yoo, Chan Woong Jang

{"title":"Presentation suitability and readability of ChatGPT's medical responses to patient questions about on knee osteoarthritis.","authors":"Myungeun Yoo, Chan Woong Jang","doi":"10.1177/14604582251315587","DOIUrl":"10.1177/14604582251315587","url":null,"abstract":"Objective: This study aimed to evaluate the presentation suitability and readability of ChatGPT's responses to common patient questions, as well as its potential to enhance readability. Methods: We initially analyzed 30 ChatGPT responses related to knee osteoarthritis (OA) on March 20, 2023, using readability and presentation suitability metrics. Subsequently, we assessed the impact of detailed and simplified instructions provided to ChatGPT for same responses, focusing on readability improvement. Results: The readability scores for responses related to knee OA significantly exceeded the recommended sixth-grade reading level (p < .001). While the presentation of information was rated as \"adequate,\" the content lacked high-quality, reliable details. After the intervention, readability improved slightly for responses related to knee OA; however, there was no significant difference in readability between the groups receiving detailed versus simplified instructions. Conclusions: Although ChatGPT provides informative responses, they are often difficult to read and lack sufficient quality. Current capabilities do not effectively simplify medical information for the general public. Technological advancements are needed to improve user-friendliness and practical utility.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251315587"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

A process for contextualising digital health terminology standards for Uganda's health information systems: A use case of HIV information management services. 乌干达卫生信息系统数字卫生术语标准的背景化进程：艾滋病毒信息管理服务用例。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582251320287

Achilles Kiwanuka, Josephine Nabukenya

{"title":"A process for contextualising digital health terminology standards for Uganda's health information systems: A use case of HIV information management services.","authors":"Achilles Kiwanuka, Josephine Nabukenya","doi":"10.1177/14604582251320287","DOIUrl":"10.1177/14604582251320287","url":null,"abstract":"Background: Uniform interpretation of digital health messages is important to achieve semantic interoperability of electronic health information systems (eHIS). Whereas international digital health terminologies such as ICD, LOINC and SNOMED-CT exist, their design considerations regarding health processes, data collected, and technologies, among others do not necessarily match Uganda's eHIS contextual needs. Objective: This research aimed to design a process that could be used to contextualise international digital health terminologies for Uganda's eHIS. Methods: The Design Science approach was used in designing the contextualisation process while utilising a foundation contextualisation approach for mapping terminologies. Results: The contextualisation process constitutes six major phases; assessing the national digital health information system context, extracting data elements in the national digital health information system, mapping existing national data elements to international terminologies, identifying and coding unmatched data elements, validating contextualised terminologies and digitising the validated terminologies. The terminology standards contextualisation process was validated using the Delphi technique and the HIV Information Management Services use case. The validation results showed that the contextualisation process was relevant, usable, adaptable and interoperable to Uganda's eHIS. Conclusion: Accordingly, this study demonstrated how international digital health terminologies could be contextualised for Uganda's health information systems. The contextualisation process could also be applied to other disease information management services in Uganda.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251320287"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143392516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 African American and hispanic health literacy with a bilingual, personalized, prevention smartphone application. 通过双语、个性化、预防智能手机应用程序推进非裔美国人和西班牙裔美国人的健康素养。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582251315604

Neil Jay Sehgal, Devlon Nicole Jackson, Christine Herlihy, John Dickerson, Cynthia Baur

{"title":"Advancing African American and hispanic health literacy with a bilingual, personalized, prevention smartphone application.","authors":"Neil Jay Sehgal, Devlon Nicole Jackson, Christine Herlihy, John Dickerson, Cynthia Baur","doi":"10.1177/14604582251315604","DOIUrl":"10.1177/14604582251315604","url":null,"abstract":"Many online health information sources are generic and difficult to understand, but consumers want information to be personalized and understandable. Smartphone health applications (apps) offer personalized information to support health goals and reduce preventable chronic conditions. This study aimed to determine how the HealthyMe/MiSalud personalized app (1) engaged English-speaking African American and Spanish-speaking Hispanic adults, and (2) motivated them to set goals and follow preventive recommendations. Our study adds to the literature on digital health, health information seeking, and prevention. We used a multi-method approach, including community and participatory design principles, to learn about potential African American and Hispanic adult health app users and evaluate the app in two usability tests and a 12-month field test. Ninety-six African American and Hispanic adults downloaded the HealthyMe/MiSalud app and used it for a minimum of 36 weeks. We found they wanted personalized information on core prevention topics, and their health histories and goals affected how they rated topic relevance. African American females ages 18-34 were more likely to save an article aligned with family health history, and African American females aged 35-49, males age 50-64, and African American males overall were more likely to save an article aligned with their health goals. Our study revealed that a prevention app with personalized recommendations can support health information seeking and health literacy. These findings can help app developers, public health practitioners, and researchers when designing apps for groups of varying identities.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251315604"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Improving audit and feedback: A user-centred approach to designing feedback techniques for an online experiment. 改进审计和反馈：以用户为中心的方法来设计在线实验的反馈技术。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 Epub Date: 2025-03-13 DOI: 10.1177/14604582251317101

Valentine Seymour, Thomas A Willis, Ana Weller, Mohamed Althaf, Jill J Francis, Fabiana Lorencatto, Alexandra Wright-Hughes, Rebecca E A Walwyn, Sarah L Alderson, Benjamin C Brown, Jamie Brehaut, Heather Colquhoun, Noah Ivers, Justin Presseau, Amanda J Farrin, Robbie Foy, Stephanie Wilson

{"title":"Improving audit and feedback: A user-centred approach to designing feedback techniques for an online experiment.","authors":"Valentine Seymour, Thomas A Willis, Ana Weller, Mohamed Althaf, Jill J Francis, Fabiana Lorencatto, Alexandra Wright-Hughes, Rebecca E A Walwyn, Sarah L Alderson, Benjamin C Brown, Jamie Brehaut, Heather Colquhoun, Noah Ivers, Justin Presseau, Amanda J Farrin, Robbie Foy, Stephanie Wilson","doi":"10.1177/14604582251317101","DOIUrl":"10.1177/14604582251317101","url":null,"abstract":"Objective: Audit and feedback (A&F) programmes aim to improve patient care by providing summary data on performance to clinicians. They generally have modest, but variable, effects on patient care and questions remain about how best to provide performance feedback. It is not feasible to test all ways of providing feedback in 'real-world' randomised trials. Online screening experiments that screen feedback techniques prior to real-world evaluations of optimised versions offer a systematic approach. User-centred design methodologies can inform the design of such online experiments. Methods: We report the use of an innovative user-centred design approach to create feedback techniques for an online screening experiment and reflect on its usefulness. This approach included the involvement of patients and stakeholders. Results and Conclusion: We highlight lessons on ways to engage with partners, considering the feasibility of online A&F feedback delivery, fidelity, and usability. We demonstrate how the approach was implemented to co-create a set of feedback techniques for an online experiment and could also be applied to the design of other digital interventions.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251317101"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143626866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Ventilator pressure prediction employing voting regressor with time series data of patient breaths. 呼吸机压力预测采用投票回归与患者呼吸时间序列数据。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582241295912

Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, Emmanuel Soriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez, María Asunción Vicente Ripoll, Imran Ashraf

{"title":"Ventilator pressure prediction employing voting regressor with time series data of patient breaths.","authors":"Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, Emmanuel Soriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez, María Asunción Vicente Ripoll, Imran Ashraf","doi":"10.1177/14604582241295912","DOIUrl":"10.1177/14604582241295912","url":null,"abstract":"Objectives: Mechanical ventilator plays a vital role in saving millions of lives. Patients with COVID-19 symptoms need a ventilator to survive during the pandemic. Studies have reported that the mortality rates rise from 50% to 97% in those requiring mechanical ventilation during COVID-19. The pumping of air into the patient's lungs using a ventilator requires a particular air pressure. High or low ventilator pressure can result in a patient's life loss as high air pressure in the ventilator causes the patient lung damage while lower pressure provides insufficient oxygen. Consequently, precise prediction of ventilator pressure is a task of great significance in this regard. The primary aim of this study is to predict the airway pressure in the ventilator respiratory circuit during the breath. Methods: A novel hybrid ventilator pressure predictor (H-VPP) approach is proposed. The ventilator exploratory data analysis reveals that the high values of lung attributes R and C during initial time step values are the prominent causes of high ventilator pressure. Results: Experiments using the proposed approach indicate H-VPP achieves a 0.78 R2, mean absolute error of 0.028, and mean squared error of 0.003. These results are better than other machine learning and deep learning models employed in this study. Conclusion: Extensive experimentation indicates the superior performance of the proposed approach for ventilator pressure prediction with high accuracy. Furthermore, performance comparison with state-of-the-art studies corroborates the superior performance of the proposed approach.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582241295912"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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