Related Experiment Video
Updated: Feb 3, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Introduction to Machine Learning in Digital Healthcare Epidemiology
Jan A Roth1, Manuel Battegay1, Fabrice Juchler1
11Division of Infectious Diseases and Hospital Epidemiology,University Hospital Basel,Basel,Switzerland.
Abstract:
To exploit the full potential of big routine data in healthcare and to efficiently communicate and collaborate with information technology specialists and data analysts, healthcare epidemiologists should have some knowledge of large-scale analysis techniques, particularly about machine learning. This review focuses on the broad area of machine learning and its first applications in the emerging field of digital healthcare epidemiology.
Related Concept Videos
Introduction to Epidemiology
Introduction to Learning
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
Healthcare Agencies II
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
Secondary Healthcare System
Tertiary Healthcare System
Causality in Epidemiology

