Precision and Virtual Care [0.03%]
精准医疗和虚拟化护理
Elizabeth M Borycki,Femke van Sinderen,Linda Dusseljee Peute et al.
Elizabeth M Borycki et al.
The importance of virtual care has been highlighted by the recent pandemic which emphasized the need for effectively providing care remotely. In addition, the development of a range of emerging technologies to support virtual care has accel...
Primary Care EHR data on Social Determinants of Health: Quality and Fitness for Purpose in Precision/Personalised Medicine [0.03%]
初级保健EHR中的社会健康决定因素数据：精确/个性化医学的质量和适用性
Anthony Paulo Sunjaya,Myron Anthony Godinho,Jitendra Jonnagaddala et al.
Anthony Paulo Sunjaya et al.
Introduction: Precision and personalised medicine requires comprehensive genetic, epigenetic, lifestyle, social, community and environmental knowledge of the patient. This approach highlights the importance of the social ...
Behavioral Components and Their Tailoring in Participatory Health Interventions for Precision Prevention [0.03%]
参与式健康干预行为组成部分及其精准预防的个性化设计
Kerstin Denecke,Octavio Rivera Romero,Carlos Luis Sanchez Bocanegra et al.
Kerstin Denecke et al.
Objective: To study which behavioral components are implemented within participatory health interventions for precision prevention, specifically how they are realized as part of the interventions and how the tailoring of ...
Elizabeth M Borycki,Linda W P Peute,Femke van Sinderen et al.
Elizabeth M Borycki et al.
Artificial intelligence (AI) promises to revolutionize healthcare. Currently there is a proliferation of new AI applications that are being developed and beginning to be deployed across many areas in healthcare to streamline and make health...
Precision Prevention: Using Data to Target the Right Intervention at the Right Intensity in the Right Community at the Right Time [0.03%]
精准预防：利用数据在正确的时间以正确的强度在正确的社区投放正确的干预措施
Evelyn Gallego,Eugenia McPeek Hinz,Bria Massey et al.
Evelyn Gallego et al.
Objectives: This survey paper summarizes the recent trend of "Precision Prevention" in public health, focusing on significant developments in informatics to enable targeted prevention and improved public health. ...
Fleur Mougin,Kate Fultz Hollis,Lina F Soualmia
Fleur Mougin
Objectives: To introduce the 2024 International Medical Informatics Association (IMIA) Year-book by the editors. Methods: The editorial...
Kate Fultz Hollis,Fleur Mougin,Lina F Soualmia
Kate Fultz Hollis
Objectives: To introduce the 2023 International Medical Informatics Association (IMIA) Yearbook by the editors. Methods: The editorial ...
Machine and Deep Learning Dominate Recent Innovations in Sensors, Signals and Imaging Informatics [0.03%]
机器学习和深度学习主导了传感器，信号和成像信息化的最近创新
Christian Baumgartner,Leticia Rittner,Thomas M Deserno;Section Editors for the IMIA Yearbook Section on Sensors et al.
Christian Baumgartner et al.
Objectives: This review presents research papers highlighting notable developments and trends in sensors, signals, and imaging informatics (SSII) in 2022. ...
Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges [0.03%]
健康系统中机器学习的安全与隐私：策略和挑战
Erikson J de Aguiar,Caetano Traina Jr,Agma J M Traina
Erikson J de Aguiar
Objectives: Machine learning (ML) is a powerful asset to support physicians in decision-making procedures, providing timely answers. However, ML for health systems can suffer from security attacks and privacy violations. ...
Gayo Diallo,Georgeta Bordea,Cécilia Samieri;Section Editors for the IMIA Yearbook Section on Public Health and Epidemiology Informatics
Gayo Diallo
Objectives: The objective of this study is to highlight innovative research and contemporary trends in the area of Public Health and Epidemiology Informatics (PHEI). ...