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Using Machine Learning to Discover Unexpected Patterns in Clinical Data: A Case Study in COVID-19 Sub-cohort Discovery

2022-01-06

Abstract excerpt

<title>Abstract</title> <p>As clinicians are faced with a deluge of new information, data science can play a key role in highlighting key features towards developing new clinical hypotheses. Indeed, insights derived from machine learning can serve as a clinical support tool by connecting care providers with results from big data analysis to identify latent patterns that may not be easily detected by even skilled...

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Literature Corpus work
10d93451-645e-5853-adcb-26e0669b2d6e
DOI
10.21203/rs.3.rs-1182055/v1
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Using Machine Learning to Discover Unexpected Patterns in Clinical Data: A Case Study in COVID-19 Sub-cohort DiscoveryDOI 10.21203/rs.3.rs-1182055/v1
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