Machine Learning in Population and Public Health

07/21/2020
by   Vishwali Mhasawade, et al.
0

Research in population and public health focuses on the mechanisms between different cultural, social, and environmental factors and their effect on the health, of not just individuals, but communities as a whole. We present here a very brief introduction into research in these fields, as well as connections to existing machine learning work to help activate the machine learning community on such topics and highlight specific opportunities where machine learning, public and population health may synergize to better achieve health equity.

READ FULL TEXT
research
11/23/2022

Precision Medicine for the Population-The Hope and Hype of Public Health Genomics

Public health is the most recent of the biomedical sciences to be seduce...
research
05/02/2019

Web data mining for public health purposes

For a long time, public health events, such as disease incidence or vacc...
research
11/27/2018

Semantically-aware population health risk analyses

One primary task of population health analysis is the identification of ...
research
03/16/2022

Social-Cultural Factors in the Design of Technology for Hispanic People with Stroke

Stroke is a leading cause of serious, long-term disability in the United...
research
12/11/2002

Myths and Legends of the Baldwin Effect

This position paper argues that the Baldwin effect is widely misundersto...
research
03/24/2020

Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat

Overweight individuals, and especially women, are disparaged as immoral,...
research
09/23/2020

Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans

Health insurance companies cover half of the United States population th...

Please sign up or login with your details

Forgot password? Click here to reset