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Article

Unsupervised machine-learning algorithms for the identification of clinical phenotypes in the osteoarthritis initiative database.

Seminars in arthritis and rheumatism - 1 Feb 2023

Demanse David, Saxer Franziska, Lustenberger Patrick, Tankó László B, Nikolaus Philipp, Rasin Ilja, Brennan Damian F, Roubenoff Ronenn, Premji Sumehra, Conaghan Philip G, Schieker Matthias

Abstract excerpt

OBJECTIVES: Osteoarthritis (OA) is a complex disease comprising diverse underlying patho-mechanisms. To enable the development of effective therapies, segmentation of the heterogenous patient population is critical. This study aimed at identifying such patient clusters using two different machine learning algorithms. METHODS: Using the progression and incident cohorts of the Osteoarthritis Initiative (OAI)...

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PMID: 36446256
DOI: 10.1016/j.semarthrit.2022.152140

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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