Identification of pregnancies in healthcare data: A changing landscape
Sign Up to like & getrecommendations! Published in 2022 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5526
Abstract: Key Points • Traditionally, in studies using healthcare utilization databases, investigators identify pregnancies starting from their outcome and calculate the first day of the last menstrual period (LMP) by subtracting the estimated gestational age from… read more here.
Keywords: changing landscape; healthcare data; identification; data changing ... See more keywords
ECC Based Secure Sharing of Healthcare Data in the Health Cloud Environment
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06450-7
Abstract: In today’s world, Cloud computing based health cloud is an effective platform for enhancing e-health productivity, i.e., healthcare professionals can provide medical service by accessing health information on any device in any location at any… read more here.
Keywords: health cloud; time; health; healthcare data ... See more keywords
Visual topic models for healthcare data clustering
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00300-y
Abstract: Social media is a great source to search health-related topics for envisages solutions towards healthcare. Topic models originated from Natural Language Processing that is receiving much attention in healthcare areas because of interpretability and its… read more here.
Keywords: visual topic; topic models; healthcare data; data clustering ... See more keywords
Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching
Sign Up to like & getrecommendations! Published in 2019 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2019.104002
Abstract: BACKGROUND AND OBJECTIVE Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and human interaction… read more here.
Keywords: hl7 fhir; ontology; healthcare data; developed mechanism ... See more keywords
The relationship between antihypertensive medications and mood disorders: analysis of linked healthcare data for 1.8 million patients
Sign Up to like & getrecommendations! Published in 2020 at "Psychological Medicine"
DOI: 10.1017/s0033291719004094
Abstract: Abstract Background Recent work suggests that antihypertensive medications may be useful as repurposed treatments for mood disorders. Using large-scale linked healthcare data we investigated whether certain classes of antihypertensive, such as angiotensin antagonists (AAs) and… read more here.
Keywords: mood disorders; healthcare data; linked healthcare; mood ... See more keywords
Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management
Sign Up to like & getrecommendations! Published in 2019 at "Yearbook of Medical Informatics"
DOI: 10.1055/s-0039-1677913
Abstract: Summary Objective: This paper explores the implications of artificial intelligence (AI) on the management of healthcare data and information and how AI technologies will affect the responsibilities and work of health information management (HIM) professionals.… read more here.
Keywords: information; management; healthcare data; data information ... See more keywords
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocad085
Abstract: OBJECTIVES As the real-world electronic health record (EHR) data continue to grow exponentially, novel methodologies involving artificial intelligence (AI) are becoming increasingly applied to enable efficient data-driven learning and, ultimately, to advance healthcare. Our objective… read more here.
Keywords: research; healthcare data; artificial intelligence; research approaches ... See more keywords
Conditional Anonymous Remote Healthcare Data Sharing Over Blockchain
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3183397
Abstract: As an important carrier of healthcare data, Electronic Medical Records (EMRs) generated from various sensors, i.e., wearable, implantable, are extremely valuable research materials for artificial intelligence and machine learning. The efficient circulation of EMRs can… read more here.
Keywords: data sharing; blockchain; anonymous remote; healthcare data ... See more keywords
Fuzzy-Logic-Based Privacy-Aware Dynamic Release of IoT-Enabled Healthcare Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3103939
Abstract: The recent evolution of the Internet of Things in the healthcare sector has attained substantial recognition from the government and industry. Healthcare data accumulated from diverse sources are stored by health service providers which is… read more here.
Keywords: information; privacy aware; fuzzy logic; healthcare data ... See more keywords
Generating and evaluating cross‐sectional synthetic electronic healthcare data: Preserving data utility and patient privacy
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence"
DOI: 10.1111/coin.12427
Abstract: Electronic healthcare record data have been used to study risk factors of disease, treatment effectiveness and safety, and to inform healthcare service planning. There has been increasing interest in utilizing these data for new purposes… read more here.
Keywords: cross sectional; electronic healthcare; healthcare data; synthetic data ... See more keywords
The accuracy of using administrative healthcare data to identify epilepsy cases: A systematic review of validation studies
Sign Up to like & getrecommendations! Published in 2020 at "Epilepsia"
DOI: 10.1111/epi.16547
Abstract: Our objective was to undertake a systematic review ascertaining the accuracy of using administrative healthcare data to identify epilepsy cases. We searched MEDLINE and Embase from 01/01/1975 to 03/07/2018 for studies evaluating the diagnostic accuracy… read more here.
Keywords: healthcare data; review; epilepsy cases; data identify ... See more keywords