Deep learning in mental health outcome research: a scoping review
Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …
an individual's physical health. Recently, artificial intelligence (AI) methods have been …
Value of a national administrative database to guide public decisions: From the système national d'information interrégimes de l'Assurance Maladie (SNIIRAM) to the …
P Tuppin, J Rudant, P Constantinou… - Revue d'epidemiologie …, 2017 - Elsevier
Résumé En France, le législateur a souhaité en 1999 que les régimes d'Assurance Maladie
développent un système national d'information interrégimes de l'Assurance Maladie …
développent un système national d'information interrégimes de l'Assurance Maladie …
The “All of Us” research program
All of Us Research Program … - New England Journal of …, 2019 - Mass Medical Soc
Knowledge gained from observational cohort studies has dramatically advanced the
prevention and treatment of diseases. Many of these cohorts, however, are small, lack …
prevention and treatment of diseases. Many of these cohorts, however, are small, lack …
Precision medicine
MR Kosorok, EB Laber - Annual review of statistics and its …, 2019 - annualreviews.org
Precision medicine seeks to maximize the quality of health care by individualizing the health-
care process to the uniquely evolving health status of each patient. This endeavor spans a …
care process to the uniquely evolving health status of each patient. This endeavor spans a …
[HTML][HTML] A review of challenges and opportunities in machine learning for health
Modern electronic health records (EHRs) provide data to answer clinically meaningful
questions. The growing data in EHRs makes healthcare ripe for the use of machine learning …
questions. The growing data in EHRs makes healthcare ripe for the use of machine learning …
Comparative first-line effectiveness and safety of ACE (angiotensin-converting enzyme) inhibitors and angiotensin receptor blockers: a multinational cohort study
ACE (angiotensin-converting enzyme) inhibitors and angiotensin receptor blockers (ARBs)
are equally guideline-recommended first-line treatments for hypertension, yet few head-to …
are equally guideline-recommended first-line treatments for hypertension, yet few head-to …
Predictive analytics in health care: how can we know it works?
There is increasing awareness that the methodology and findings of research should be
transparent. This includes studies using artificial intelligence to develop predictive …
transparent. This includes studies using artificial intelligence to develop predictive …
[HTML][HTML] Time trends and prescribing patterns of opioid drugs in UK primary care patients with non-cancer pain: a retrospective cohort study
Background The US opioid epidemic has led to similar concerns about prescribed opioids in
the UK. In new users, initiation of or escalation to more potent and high dose opioids may …
the UK. In new users, initiation of or escalation to more potent and high dose opioids may …
Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data
Objective To develop a conceptual prediction model framework containing standardized
steps and describe the corresponding open-source software developed to consistently …
steps and describe the corresponding open-source software developed to consistently …
[HTML][HTML] Big data's role in precision public health
S Dolley - Frontiers in public health, 2018 - frontiersin.org
Precision public health is an emerging practice to more granularly predict and understand
public health risks and customize treatments for more specific and homogeneous …
public health risks and customize treatments for more specific and homogeneous …