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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
semanticscholar +1 more source
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
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
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
Deep representation learning of electronic health records to unlock patient stratification at scale [PDF]
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data prevent widespread practice of scalable EHR-based stratification analysis ...
I. Landi+8 more
semanticscholar +1 more source
Hyperledger Healthchain: Patient-Centric IPFS-Based Storage of Health Records
Blockchain-based electronic health system growth is hindered by privacy, confidentiality, and security. By protecting against them, this research aims to develop cybersecurity measurement approaches to ensure the security and privacy of patient ...
V. Mani+4 more
semanticscholar +1 more source
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
doaj +1 more source
Introduction Research suggests that electronic messaging can improve patient engagement. Studies indicate that a ‘digital divide’ may exist, where certain patient populations may be using electronic messaging less frequently. This study aims to determine
Sean Patrick Mikles, Thelma J Mielenz
doaj +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
A Blockchain-Applied Personal Health Record Application: Development and User Experience
This study aims to introduce a novel blockchain-applied personal health records (PHR) application and validate its user experience. The system transmits the part corresponding to the patient’s personal information off-chain and prevents data forgery and ...
Ji Woong Kim+3 more
doaj +1 more source