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Uncovering Phenotypes in Sensorineural Hearing Loss: A Systematic Review of Unsupervised Machine Learning Approaches.

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Bibliographic Details
Title:	Uncovering Phenotypes in Sensorineural Hearing Loss: A Systematic Review of Unsupervised Machine Learning Approaches.
Authors:	Dimitrov L; University College London Hospital (UCLH) Biomedical Research Centre (BRC) Hearing Theme, London, United Kingdom.; University College London (UCL), London, United Kingdom., Barrett L; University College London Hospital (UCLH) Biomedical Research Centre (BRC) Hearing Theme, London, United Kingdom.; University College London (UCL), London, United Kingdom., Chaudhry A; University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom., Muzaffar J; University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom., Lilaonitkul W; University College London (UCL), London, United Kingdom., Mehta N; University College London Hospital (UCLH) Biomedical Research Centre (BRC) Hearing Theme, London, United Kingdom.; University College London (UCL), London, United Kingdom.
Source:	Ear and hearing [Ear Hear] 2025 Nov-Dec 01; Vol. 46 (6), pp. 1401-1411. Date of Electronic Publication: 2025 Aug 07.
Publication Type:	Journal Article; Systematic Review
Journal Info:	Publisher: Williams And Wilkins Country of Publication: United States NLM ID: 8005585 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-4667 (Electronic) Linking ISSN: 01960202 NLM ISO Abbreviation: Ear Hear Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1538-4667
DOI:	10.1097/AUD.0000000000001696