Health Informatics Journal最新文献

HealthCheck: A method for evaluating persuasive mobile health applications. HealthCheck：评估有说服力的移动健康应用的方法。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241290969

Shweta Premanandan, Awais Ahmad, Åsa Cajander, Sami Pohjolainen, Pär Ågerfalk, Mikko Rajanen, Lisette van Gemert-Pijnen

{"title":"HealthCheck: A method for evaluating persuasive mobile health applications.","authors":"Shweta Premanandan, Awais Ahmad, Åsa Cajander, Sami Pohjolainen, Pär Ågerfalk, Mikko Rajanen, Lisette van Gemert-Pijnen","doi":"10.1177/14604582241290969","DOIUrl":"https://doi.org/10.1177/14604582241290969","url":null,"abstract":"Objectives: This paper introduces HealthCheck, a novel evaluation method for persuasive mobile health applications, aiming to fill the critical gap in quick and effective evaluation tools for this domain. Methods: Following Design Science Research, HealthCheck was developed through problem identification, solution design, implementation, evaluation, and iterative refinement. The implementation involved testing with seven experts to assess its applicability and effectiveness. Results: Feedback from the evaluators indicated that while a few heuristics in HealthCheck were considered irrelevant by some, the majority found the heuristics to be both pertinent and beneficial, especially within the caregiving context. This feedback highlights the practical value of HealthCheck and its potential to offer meaningful insights into improving the usability of persuasive eHealth applications. Conclusion: The study shows HealthCheck effectively evaluates persuasive mobile health applications, offering actionable insights to enhance usability. This validates the relevance and robustness of HealthCheck's heuristics, advancing information systems and human-computer interaction research.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241290969"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395433","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

Perceived benefits and challenges of using an electronic cancer prediction system for safety netting in primary care: An exploratory study of C the signs. 使用电子癌症预测系统为初级保健提供安全网的好处和挑战：对 C the signs 的探索性研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241279742

Sara Spear, Pamela Knight-Davidson

{"title":"Perceived benefits and challenges of using an electronic cancer prediction system for safety netting in primary care: An exploratory study of C the signs.","authors":"Sara Spear, Pamela Knight-Davidson","doi":"10.1177/14604582241279742","DOIUrl":"https://doi.org/10.1177/14604582241279742","url":null,"abstract":"Objectives: This paper reports on an exploratory study into the perceived benefits and challenges of using an electronic cancer prediction system, C the Signs, for safety netting within a Primary Care Network (PCN) in the East of England.Methods: The study involved semi-structured interviews and a qualitative questionnaire with a sample of 15 clinicians and practice administrators within four GP practices in the PCN.Results: Participants generally perceived benefits of C the Signs for managing and monitoring referrals as part of post-consultation safety netting. Clinicians made little use of the decision support function though, as part of safety netting during the consultation, and referrals were still sent by administrators, rather than directly by clinicians through C the Signs.Conclusion: Emphasising the benefits of C the Signs for post-consultation safety netting is most likely to gain buy-in to the system from clinicians, and can also be used by administrators for shared visibility of referrals. More evidence is needed on the value of C the Signs for safety netting during the consultation, through better diagnosis of cancer, before this is seen as a valued benefit by clinicians and provides motivation to use the system.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241279742"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407223","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

Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction. 基于子群学习的可解释建模框架：糖尿病肾病预测研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241291379

Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W T Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu

{"title":"Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction.","authors":"Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W T Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu","doi":"10.1177/14604582241291379","DOIUrl":"https://doi.org/10.1177/14604582241291379","url":null,"abstract":"Objectives: Complex diseases, like diabetic kidney disease (DKD), often exhibit heterogeneity, challenging accurate risk prediction with machine learning. Traditional global models ignore patient differences, and subgroup learning lacks interpretability and predictive efficiency. This study introduces the Interpretable Subgroup Learning-based Modeling (iSLIM) framework to address these issues.Methods: iSLIM integrates expert knowledge with a tree-based recursive partitioning approach to identify DKD subgroups within an EHR dataset of 11,559 patients. It then constructs separate models for each subgroup, enhancing predictive accuracy while preserving interpretability.Results: Five clinically relevant subgroups are identified, achieving an average sensitivity of 0.8074, outperforming a single global model by 0.1104. Post hoc analyses provide pathological and biological evidence supporting subgroup validity and potential DKD risk factors.Conclusion: The iSLIM surpasses traditional global model in predictive performance and subgroup-specific risk factor interpretation, enhancing the understanding of DKD's heterogeneous mechanisms and potentially increasing the adoption of machine learning models in clinical decision-making.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241291379"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481346","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

Exploring the determinants of patients' continuance intentions in online health communities from the network effects perspective. 从网络效应的角度探讨患者在在线健康社区中继续就医意向的决定因素。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241300422

Aihui Ye, Runtong Zhang, Hongmei Zhao

{"title":"Exploring the determinants of patients' continuance intentions in online health communities from the network effects perspective.","authors":"Aihui Ye, Runtong Zhang, Hongmei Zhao","doi":"10.1177/14604582241300422","DOIUrl":"https://doi.org/10.1177/14604582241300422","url":null,"abstract":"Objectives: Online health communities (OHCs) facilitate patient-physician interaction and the adoption of online health services. However, few studies explored the impact of network effects on patients' continuance intentions in OHCs. This study aims to explore the determinants affecting OHC patients' continuance intentions based on the network effects theory and expectation confirmation model (ECM). Methods: An integrated research model and relative hypotheses are proposed. A total of 420 valid responses are collected through an online questionnaire survey to test the research framework using structural equation modeling. Results: The results reveal that direct network effect, cross network effect, and indirect network effect all positively affect perceived ease of use, and the latter two also positively affect perceived usefulness that further affect continuance intention. In addition, other results are consistent with the ECM-based hypotheses and the positive impact of perceived e-health literacy on continuance intention is also explained. Conclusion: Patients' continuance intention to use OHCs can be improved by network effects through direct, cross, and indirect formats. ECM-based determinants, including confirmation, perceived usefulness, and satisfaction, provide valuable insights for OHC patients' continuous use. Enhancing e-health literacy helps maintain patients' intention to continue using OHCs.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241300422"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683294","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 barriers to EHR implementation for effective decision support in tanzanian primary healthcare: Insights from practitioners. 揭示坦桑尼亚初级医疗保健实施电子病历以提供有效决策支持的障碍：从业人员的见解。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241304698

Augustino Mwogosi, Stephen Kibusi

{"title":"Unveiling barriers to EHR implementation for effective decision support in tanzanian primary healthcare: Insights from practitioners.","authors":"Augustino Mwogosi, Stephen Kibusi","doi":"10.1177/14604582241304698","DOIUrl":"https://doi.org/10.1177/14604582241304698","url":null,"abstract":"This study investigates the barriers to implementing electronic health records (EHR) systems for decision support in Tanzanian primary healthcare (PHC) facilities and proposes strategies to address these challenges. A qualitative, inductive approach was used, guided by the Diffusion of Innovations (DOI) theory, the Technology Acceptance Model (TAM), and the Sociotechnical Systems theory. Using snowball sampling, data were collected from 14 participants through semi-structured interviews in Dodoma, Tanzania. Thematic analysis identified key barriers. Critical barriers to EHR implementation include lack of leadership support, poor network infrastructure, increased workload, and resistance to technology due to concerns over professional autonomy. Technical challenges, such as system downtime and lack of skilled personnel, hinder EHR use, resulting in inefficiencies and incomplete system adoption, negatively affecting patient outcomes. This study offers unique insights into barriers to EHR adoption in Tanzanian PHC facilities. Grounded in multiple theoretical frameworks, the findings contribute to health informatics discourse in low-resource settings and provide practical recommendations for improving EHR implementation. The study's implications are relevant for policymakers, healthcare leaders, and IT developers in similar contexts.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241304698"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696091","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

BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans. BoneScore：从 DXA 扫描中提取骨矿物质密度数据的自然语言处理算法。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241295930

Samah Fodeh, Rixin Wang, Terrence E Murphy, Farah Kidwai-Khan, Linda S Leo-Summers, Baylah Tessier-Sherman, Evelyn Hsieh, Julie A Womack

{"title":"BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.","authors":"Samah Fodeh, Rixin Wang, Terrence E Murphy, Farah Kidwai-Khan, Linda S Leo-Summers, Baylah Tessier-Sherman, Evelyn Hsieh, Julie A Womack","doi":"10.1177/14604582241295930","DOIUrl":"https://doi.org/10.1177/14604582241295930","url":null,"abstract":"Objective: To develop and test an NLP algorithm that accurately detects the presence of information reported from DXA scans containing femoral neck T-scores of the patients scanned. Methods: A rule-based NLP algorithm that iteratively built a collection of regular expressions in testing data consisting of 889 snippets of text pulled from DXA reports. This was manually checked by clinical experts to determine the proportion of manually verified annotations that contained T-score information detected by this algorithm called 'BoneScore'. Testing of 30- and 50-word lengths on each side of the key term 'femoral' were pursued until achievement of adequate accuracy. A separate clinical validation regressed the extracted T-score values on five risk factors with established associations. Results: BoneScore built a set of 20 regular expressions that in concert with a width of 50 words on each side of the key term yielded an accuracy of 98% in the testing data. The extracted T-scores, when modeled with multivariable linear regression, consistently exhibited associations supported by the literature. Conclusion: BoneScore uses regular expressions to accurately extract annotations of T-score values of bone mineral density with a width of 50 words on each side of the key term. The extracted T-scores exhibit clinical face validity.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241295930"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142632500","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 of a new patient-reported outcome measure for Dupuytren disease: A study protocol. 针对杜普伊特伦病开发新的患者报告结果测量方法：研究方案。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241301642

David Eckerdal, Per-Erik Lyrén, Jane McEachan, Anna Lauritzson, Jesper Nordenskjöld, Isam Atroshi

{"title":"Development of a new patient-reported outcome measure for Dupuytren disease: A study protocol.","authors":"David Eckerdal, Per-Erik Lyrén, Jane McEachan, Anna Lauritzson, Jesper Nordenskjöld, Isam Atroshi","doi":"10.1177/14604582241301642","DOIUrl":"10.1177/14604582241301642","url":null,"abstract":"Objectives: Dupuytren disease is a common condition that causes progressive finger contractures resulting in impaired hand function and difficulties in performing daily activities. Patient reported outcome measures (PROMs) are commonly used in research and clinical practice to evaluate treatment outcomes. Both general upper extremity PROMs and Dupuytren-specific PROMs are available, typically developed using conventional methodology based on classical test theory. However, most current PROMs have been shown to have low responsiveness and the relevance of included items have been questioned. In this study we aim to develop a new Dupuytren-specific PROM using modern measurement methodology based on item response theory (IRT). Methods: The study will be performed in three phases. In Phase 1, (completed), an expert group developed a questionnaire with a large number of potentially relevant items derived from existing PROMs and patient collaboration. In Phase 2, the questionnaire will be administered to 300 patients with Dupuytren disease, and their responses will be analyzed with IRT methodology to identify the best performing items to be included in the new PROM. In Phase 3, the new PROM will be administered to 300 additional patients for validation. Conclusion: This new Dupuytren-specific patient-reported outcome measure will help advance clinical research on Dupuytren disease.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241301642"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142640325","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

Emergency department nurses' learning and evolving perspectives in interacting with patients who self-harm. An explorative interview study of the use of a mobile application.

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241301363

Lene Lauge Berring, Ingrid C Andersen, Lise Bachmann Østergaard, Cecilie Borges Bygum, Line Marie Christensen, Ditte Høgsgaard, Anja Rebien Johannesen, Charlotte Simonÿ

{"title":"Emergency department nurses' learning and evolving perspectives in interacting with patients who self-harm. An explorative interview study of the use of a mobile application.","authors":"Lene Lauge Berring, Ingrid C Andersen, Lise Bachmann Østergaard, Cecilie Borges Bygum, Line Marie Christensen, Ditte Høgsgaard, Anja Rebien Johannesen, Charlotte Simonÿ","doi":"10.1177/14604582241301363","DOIUrl":"https://doi.org/10.1177/14604582241301363","url":null,"abstract":"SAFE is a mobile application co-created for and by people who have experienced self-harm, either themselves or as next of kin. This study intended to integrate SAFE into an Emergency Department (ED) to help patients share experiences of self-harm and to support professionals in conducting treatment as usual (TAU). Objective: This study was a part of a Co-operative Inquiry in which a learning intervention was implemented, followed by an interview study exploring ED nurses' reflections and learnings while integrating SAFE into their practice. Methods: Thirteen semi-structured interviews were analysed using reflexive thematic analysis. Results: The nurses imagined that SAFE could be a positive game changer. However, they were hesitant due to uncertainty about the ED context, the value of the app and their skills. Conclusions: Supplying TAU with technology is challenging and future digital solutions must be created in partnership to ensure the solutions are customised to the target group.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241301363"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142755770","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

Barriers to mobile personal health assistant in patients living with diabetes. 糖尿病患者使用移动个人健康助理的障碍。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241291522

Mei-Chen Kuo, Chiou-Fang Liou, Jyh-Horng Lin, Ching-Feng Huang, Li-Chueh Weng

{"title":"Barriers to mobile personal health assistant in patients living with diabetes.","authors":"Mei-Chen Kuo, Chiou-Fang Liou, Jyh-Horng Lin, Ching-Feng Huang, Li-Chueh Weng","doi":"10.1177/14604582241291522","DOIUrl":"https://doi.org/10.1177/14604582241291522","url":null,"abstract":"Objectives: Continued use of a digital health assistant that helps patients living with diabetes to self-manage and deal with complex problems in order to enhance their health status is a healthcare priority. The objective was to explore the barriers related to the use of a mobile personal health assistant for patients with type 2 diabetes.Methods: Eighty-one participants were offered a personal health assistant through a smartphone application. They completed a questionnaire after initial training (T0) and after 1 month's experience (T1).Results and conclusion: Most had a positive behavioral intention before using it, but the opposite was found after 1 month. There were positive correlations between behavioral intention and the eight related factors. The strongest correlations were with satisfaction and perceived usefulness at T0 and T1, respectively. The factors' mean values decreased after 1 month. The best predictors of behavioral intention were satisfaction and performance expectancy at T0 and T1, respectively, which predicted the status of 88.4% and 82.7% of the sample. Our findings will help health experts to build better tools that satisfy patients and meet their expectations.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241291522"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407220","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 web-based platform for studying the impact of artificial intelligence in video capsule endoscopy. 基于网络的平台，用于研究人工智能对视频胶囊内窥镜检查的影响。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241296072

Georgios Apostolidis, Antigoni Kakouri, Ioannis Dimaridis, Eleni Vasileiou, Ioannis Gerasimou, Vasileios Charisis, Stelios Hadjidimitriou, Nikolaos Lazaridis, Georgios Germanidis, Leontios Hadjileontiadis

{"title":"A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy.","authors":"Georgios Apostolidis, Antigoni Kakouri, Ioannis Dimaridis, Eleni Vasileiou, Ioannis Gerasimou, Vasileios Charisis, Stelios Hadjidimitriou, Nikolaos Lazaridis, Georgios Germanidis, Leontios Hadjileontiadis","doi":"10.1177/14604582241296072","DOIUrl":"https://doi.org/10.1177/14604582241296072","url":null,"abstract":"Objective: Integrating artificial intelligence (AI) solutions into clinical practice, particularly in the field of video capsule endoscopy (VCE), necessitates the execution of rigorous clinical studies. Methods: This work introduces a novel software platform tailored to facilitate the conduct of multi-reader multi-case clinical studies in VCE. The platform, developed as a web application, prioritizes remote accessibility to accommodate multi-center studies. Notably, considerable attention was devoted to user interface and user experience design elements to ensure a seamless and engaging interface. To evaluate the usability of the platform, a pilot study is conducted. Results: The results indicate a high level of usability and acceptance among users, providing valuable insights into the expectations and preferences of gastroenterologists navigating AI-driven VCE solutions. Conclusion: This research lays a foundation for future advancements in AI integration within clinical VCE practice.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241296072"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513279","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