Uncovering Phenotypes in Sensorineural Hearing Loss: A Systematic Review of Unsupervised Machine Learning Approaches.
Saved in:
| 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 |
Be the first to leave a comment!
