Results 31 to 40 of about 13,221,289 (346)
Federated Learning for Electronic Health Records
In data-driven medical research, multi-center studies have long been preferred over single-center ones due to a single institute sometimes not having enough data to obtain sufficient statistical power for certain hypothesis testings as well as predictive
Trung Kien Dang +3 more
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The Vulnerability Index: A weighted measure of dementia and cognitive impairment risk
Introduction A brief, easily calculated and interpretable index to assess vulnerability to developing cognitive impairment is needed in clinical practice and research.
Michael J. Kleiman, James E. Galvin
doaj +1 more source
Concerns have been expressed that persons with a pre‐existing mental disorder may represent a population at increased risk for COVID‐19 infection and with a higher likelihood of adverse outcomes of the infection, but there is no systematic research ...
QuanQiu Wang, Rong Xu, N. Volkow
semanticscholar +1 more source
Objective Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcomes ...
Braja Gopal Patra +21 more
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NFTs and Metaverse in Healthcare: What’s the Big Opportunity?
The global non-fungible token (NFT) market size is expected to grow by USD 147.24 billion from 2021 to 2026 at a CAGR of 35.27% and According to Precedence Research, the global metaverse market size is projected to be worth around USD 1.6.
Ray Dogum, Daniel Uribe
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Challenges and opportunities beyond structured data in analysis of electronic health records
Electronic health records (EHR) contain a lot of valuable information about individual patients and the whole population. Besides structured data, unstructured data in EHRs can provide extra, valuable information but the analytics processes are complex ...
Maryam Tayefi +6 more
semanticscholar +1 more source
Family and Domestic violence (FDV) is a global problem with significant social, economic, and health consequences for victims including increased health care costs, mental trauma, and social stigmatization.
George Karystianis +4 more
doaj +1 more source
Predicting diabetes-related hospitalizations based on electronic health records [PDF]
OBJECTIVE: To derive a predictive model to identify patients likely to be hospitalized during the following year due to complications attributed to Type II diabetes. METHODS: A variety of supervised machine learning classification methods were tested and
Brisimi, Theodora S. +4 more
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Blockchain Technology for Electronic Health Records
Compared with traditional paper-based medical records, electronic health records (EHRs) are widely used because of their efficiency, security, and reducing data redundancy.
Yujin Han, Yawei Zhang, S. Vermund
semanticscholar +1 more source
BEHRT: Transformer for Electronic Health Records [PDF]
Today, despite decades of developments in medicine and the growing interest in precision healthcare, vast majority of diagnoses happen once patients begin to show noticeable signs of illness.
Yikuan Li +8 more
semanticscholar +1 more source

