Author: Wiemken, Timothy L; Rutschman, Ana Santos
Title: Methodology Minute: A Machine Learning Primer for Infection Prevention and Control Cord-id: fo9ekd1l Document date: 2020_10_1
ID: fo9ekd1l
Snippet: The use of machine learning and predictive modeling in infection prevention and control activities is increasing dramatically. In order for infection preventionists to make informed decisions on the performance of any particular model as well as to determine if the output of the model will be useful for their program needs, a suitable understanding of the creation and evaluation of these models is necessary. The purpose of this primer is to introduce the infection preventionist to the most commo
Document: The use of machine learning and predictive modeling in infection prevention and control activities is increasing dramatically. In order for infection preventionists to make informed decisions on the performance of any particular model as well as to determine if the output of the model will be useful for their program needs, a suitable understanding of the creation and evaluation of these models is necessary. The purpose of this primer is to introduce the infection preventionist to the most commonly used machine learning method in infection prevention: supervised learning.
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