Predicting suicidal behavior from longitudinal electronic health records
Y Barak-Corren, VM Castro, S Javitt… - American journal of …, 2017 - Am Psychiatric Assoc
Objective: The purpose of this article was to determine whether longitudinal historical data,
commonly available in electronic health record (EHR) systems, can be used to predict …
commonly available in electronic health record (EHR) systems, can be used to predict …
Adverse event extraction from structured product labels using the event-based text-mining of health electronic records (ETHER) system
A Pandey, K Kreimeyer, M Foster… - Health informatics …, 2019 - journals.sagepub.com
Structured Product Labels follow an XML-based document markup standard approved by
the Health Level Seven organization and adopted by the US Food and Drug Administration …
the Health Level Seven organization and adopted by the US Food and Drug Administration …
Drugs associated with a risk of supraventricular tachycardia: analysis using the OpenVigil database
W Chen, S Li, D Huang, Y Su - Journal of International …, 2024 - journals.sagepub.com
Objective The OpenVigil database can be used to assess medications that may cause
supraventricular tachycardia (SVT) and to produce a reference for their safe use in clinical …
supraventricular tachycardia (SVT) and to produce a reference for their safe use in clinical …
Discovering drug-drug associations in the FDA adverse event reporting system database with data mining approaches
Objective: To classify causal associations among drugs and adverse events by the identified
drug safety signals from the US Food and Drug Administration (FDA) Adverse Event …
drug safety signals from the US Food and Drug Administration (FDA) Adverse Event …
[PDF][PDF] Predicting Suicidal Behavior from Longitudinal Electronic Health Records
MD Solomon Javitt, AG Hoffnagle - researchgate.net
Objective: To determine whether longitudinal historical data, commonly available in
electronic health record (EHR) systems, can be used to predict patients' future risk of suicidal …
electronic health record (EHR) systems, can be used to predict patients' future risk of suicidal …