Review paper
Machine Learning for Clinical Chemists
Abstract
Medicine has traditionally relied on heuristic approaches in which knowledge is acquired through experience and self-learning. Pathology is information rich with quantitative and qualitative measurements such as history, images, and physiological data from which diagnosis and treatment decisions are made. This information is readily linked to patient outcome data and is therefore potentially invaluable in improving treatment. Thus, pathology is...
Paper Details
Title
Machine Learning for Clinical Chemists
Published Date
Nov 1, 2019
Journal
Volume
65
Issue
11
Pages
1350 - 1356
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