Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis
BackgroundThe impending scale up of noncommunicable disease screening programs in low- and middle-income countries coupled with limited health resources require that such programs be as accurate as possible at identifying patients at high risk. ObjectiveThe aim of this study was to develop machine l...
Saved in:
Main Authors: | Boutilier, Justin J (Author), Chan, Timothy C Y (Author), Ranjan, Manish (Author), Deo, Sarang (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2021-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Early experience with pediatric cardiac transplantation in a limited resource setting
by: Swati Garekar, et al.
Published: (2020) -
Navigating TREAT-B in resource-limited settings
by: Anna Kramvis, et al.
Published: (2024) -
Approaches to the Management of Hypertension in Resource-Limited Settings: Strategies to Overcome the Hypertension Crisis in the Post-COVID Era
by: Skeete J, et al.
Published: (2020) -
Sepsis Management in Resource-limited Settings
Published: (2019) -
Sepsis Management in Resource-limited Settings
Published: (2019)