AIMC Topic: Data Management
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Challenges of developing artificial intelligence-assisted tools for clinical medicine.
Journal of gastroenterology and hepatology
Feb 1, 2021
Machine learning, a subset of artificial intelligence (AI), is a set of computational tools that can be used to enhance provision of clinical care in all areas of medicine. Gastroenterology and hepatology utilize multiple sources of information, incl...
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.
Journal of the American Medical Informatics Association : JAMIA
Dec 9, 2020
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care gro...
Clinical applications of continual learning machine learning.
The Lancet. Digital health
Jun 1, 2020
Connecting Data to Value: An Operating Model for Healthcare Advanced Analytics.
Healthcare quarterly (Toronto, Ont.)
Apr 1, 2020
Artificial intelligence offers the promise to revolutionize the way healthcare is delivered in the future. To capitalize on the value of advanced analytics and artificial intelligence, organizations must focus on building organizational capabilities....
Connecting Data to Insight: A Pan-Canadian Study on AI in Healthcare.
Healthcare quarterly (Toronto, Ont.)
Apr 1, 2020
Across Canada, healthcare leaders are exploring the potential of artificial intelligence and advanced analytics to transform the healthcare system. This report shares a summary of the current state of healthcare analytics across major hospitals and p...
Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.
JCO clinical cancer informatics
Mar 1, 2020
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, and the increase of noncommunicable diseases. Howeve...
Open Source Infrastructure for Health Care Data Integration and Machine Learning Analyses.
JCO clinical cancer informatics
Aug 1, 2019
PURPOSE: We have created a cloud-based machine learning system (CLOBNET) that is an open-source, lean infrastructure for electronic health record (EHR) data integration and is capable of extract, transform, and load (ETL) processing. CLOBNET enables ...
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