InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. [PDF]
Nat CommunKauffman J +10 more
europepmc +3 more sources
Machine learning model to predict mental health crises from electronic health records
Nature Medicine, 2022 The timely identification of patients who are at risk of a mental health crisis can lead to improved outcomes and to the mitigation of burdens and costs.
Roger Garriga +6 more
semanticscholar +1 more source
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records [PDF]
IEEE journal of biomedical and health informatics, 2021 Electronic health records (EHR) represent a holistic overview of patients’ trajectories. Their increasing availability has fueled new hopes to leverage them and develop accurate risk prediction models for a wide range of diseases.
Yikuan Li +7 more
semanticscholar +1 more source
BEHRT: Transformer for Electronic Health Records [PDF]
Scientific Reports, 2019 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
Machine learning approaches for electronic health records phenotyping: A methodical review
medRxiv, 2022 Objective: Accurate and rapid methods for phenotyping are a prerequisite to realizing the potential of electronic health records (EHRs) data for clinical and translational research.
Siyue Yang +4 more
semanticscholar +1 more source
Next generation assisting clinical applications by using semantic-aware electronic health records [PDF]
, 2009 The health care sector is no longer imaginable without electronic health records. However; since the original idea of electronic health records was focused on data storage and not on data processing, a lot of current implementations do not take full ...
De Potter, Pieterjan +3 more
core +2 more sources
npj Digital Medicine, 2020 Advancements in deep learning techniques carry the potential to make significant contributions to healthcare, particularly in fields that utilize medical imaging for diagnosis, prognosis, and treatment decisions.
Shih-Cheng Huang +4 more
semanticscholar +1 more source
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
ACM Computing Surveys, 2022 The primary objective of implementing Electronic Health Records (EHRs) is to improve the management of patients’ health-related information. However, these records have also been extensively used for the secondary purpose of clinical research and to ...
Tabinda Sarwar +7 more
semanticscholar +1 more source
Current Status of Electronic Medical Record Systems in Hospitals and Clinics in Korea [PDF]
Healthcare Informatics Research, 2017 ObjectivesMany healthcare organizations and professionals have had interests in healthcare information and communication technology (ICT). The objective of this study was to investigate the current status of overall healthcare ICT, especially focusing on
Young-Taek Park, Dongwoon Han
doaj +1 more source
medRxiv, 2020 Background Establishing who is at risk from a novel rapidly arising cause of death, and why, requires a new approach to epidemiological research with very large datasets and timely data.
The OpenSAFELY Collaborative +30 more
semanticscholar +1 more source