Multimodal attention-based deep learning for Alzheimer's disease diagnosis [0.03%]
基于多模态注意的深度学习在阿尔茨海默病诊断中的应用研究
Michal Golovanevsky,Carsten Eickhoff,Ritambhara Singh
Michal Golovanevsky
Objective: Alzheimer's disease (AD) is the most common neurodegenerative disorder with one of the most complex pathogeneses, making effective and clinically actionable decision support difficult. The objective of this stu...
Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy [0.03%]
自动化个人临床护理的计算机临床决策支持：一种具有挑战性但必要的医疗保健提供策略
Alan H Morris,Christopher Horvat,Brian Stagg et al.
Alan H Morris et al.
How to deliver best care in various clinical settings remains a vexing problem. All pertinent healthcare-related questions have not, cannot, and will not be addressable with costly time- and resource-consuming controlled clinical trials. At...
Genevieve B Melton,James J Cimino,Christoph U Lehmann et al.
Genevieve B Melton et al.
A panel sponsored by the American College of Medical Informatics (ACMI) at the 2021 AMIA Symposium addressed the provocative question: "Are Electronic Health Records dumbing down clinicians?" After reviewing electronic health record (EHR) d...
The US Food and Drug Administration Sentinel System: a national resource for a learning health system [0.03%]
美国食品药品管理局Sentinel系统：学习医疗体系的国家级资源
Jeffrey S Brown,Aaron B Mendelsohn,Young Hee Nam et al.
Jeffrey S Brown et al.
The US Food and Drug Administration (FDA) created the Sentinel System in response to a requirement in the FDA Amendments Act of 2007 that the agency establish a system for monitoring risks associated with drug and biologic products using da...
Toward informatics-enabled preparedness for natural hazards to minimize health impacts of climate change [0.03%]
面向气候变更减灾的卫生信息系统建设：以自然危害预防为重点
Jimmy Phuong,Naomi O Riches,Luca Calzoni et al.
Jimmy Phuong et al.
Natural hazards (NHs) associated with climate change have been increasing in frequency and intensity. These acute events impact humans both directly and through their effects on social and environmental determinants of health. Rather than r...
Translating and evaluating historic phenotyping algorithms using SNOMED CT [0.03%]
使用SNOMED CT翻译和评估历史表型算法
Musaab Elkheder,Arturo Gonzalez-Izquierdo,Muhammad Qummer Ul Arfeen et al.
Musaab Elkheder et al.
Objective: Patient phenotype definitions based on terminologies are required for the computational use of electronic health records. Within UK primary care research databases, such definitions have typically been represen...
Brian Ondov,Kush Attal,Dina Demner-Fushman
Brian Ondov
Objective: Plain language in medicine has long been advocated as a way to improve patient understanding and engagement. As the field of Natural Language Processing has progressed, increasingly sophisticated methods have b...