Open AccessDeveloping Machine Learning Algorithms on Routinely Collected Administrative Health Data - Lessons from Ontario, Canada.
Author(s) -
Vinyas Harish,
Mathieu Ravaut,
Seung Eun Yi,
Jahir M. Gutierrez,
Hamed Sadeghi,
Kin Kwan Leung,
Tristan Watson,
Kathy Kornas,
Tomi Poutanen,
Maksims Volkovs,
Laura C. Rosella
Publication year - 2022
Publication title -
international journal for population data science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.602
H-Index - 7
ISSN - 2399-4908
DOI - 10.23889/ijpds.v7i3.1851
Subject(s) - machine learning , health care , artificial intelligence , computer science , timeline , population health , decision tree , feature (linguistics) , multidisciplinary approach , medicine , population , data science , data mining , statistics , mathematics , environmental health , political science , linguistics , philosophy , law
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom