Training Device, Disease Affection Determination Device, Classification Device, Machine Learning Method, and Classification Method
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United States of America Patent
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Issued Date -
Jun 2, 2022
app pub date -
Oct 28, 2021
filing date -
Oct 28, 2021
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Abstract
Provided are a training device, a disease affection determination device, a machine learning method, and a program that are applicable to various living organisms other than humans without performing time-consuming mapping. The present disclosure provides a machine learning unit that trains a model for a predetermined disease using, as an input, a training feature vector based on an appearance frequency of a plurality of types of substrings in a base sequence obtained from a training sample collected from a learning subject and, as an output, label information indicating whether the learning subject is a subject affected by the predetermined disease or a subject not affected by the predetermined disease.
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