Grant: Project Grant
Sunnybrook Research Institute (Toronto, Ontario)
$198,900.00
Machine learning for healthcare research
EF 2021-22
Résumé
Predicting the probability of outcomes for patients is important for medical decision making. For example, know which patients are at higher risk of death can inform which patients should be treated more aggressively. Machine learning methods are methods from the field of Computer Science that can be used for predicting patient outcomes. There is growing interest in using machine learning methods to predict patient outcomes. The objective of this research is to improve the use of machine learning methods for predicting patient outcomes.
Programme
Project Grant
Bénéficiaire
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
460160
Name
Austin Peter C
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Clinical
Prcname2
Health Services Evaluation & Interventions Research 3
Projecttitle
Machine learning for healthcare research
Programtype2
Operating Grants
Orgnameinp2
Sunnybrook Research Institute (Toronto, Ontario)
Cihramount2
$198,900
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Big Data; Machine Learning; Prediction Models; Risk Prediction
Abstract
Predicting the probability of outcomes for patients is important for medical decision making. For example, know which patients are at higher risk of death can inform which patients should be treated more aggressively. Machine learning methods are methods from the field of Computer Science that can be used for predicting patient outcomes. There is growing interest in using machine learning methods to predict patient outcomes. The objective of this research is to improve the use of machine learning methods for predicting patient outcomes.
Competitiondate
202203
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Austin, Peter C
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $198,900~ $0~
