Identifying phenotypes of obstructive sleep apnea using cluster analysis.
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| Title: | Identifying phenotypes of obstructive sleep apnea using cluster analysis. |
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| Authors: | Venkatnarayan K; Department of Pulmonary Medicine, St. John's National Academy of Health Sciences, Bengaluru, 560034, India., Krishnaswamy UM; Department of Pulmonary Medicine, St. John's National Academy of Health Sciences, Bengaluru, 560034, India. umamohan99@gmail.com., Rajamuri NKR; Department of Pulmonary Medicine, SVS Medical College, Mahbubnagar, Telangana, India., Selvam S; Division of Epidemiology, Biostatistics and Population Health, St. John's National Academy of Health Sciences, Bengaluru, India., Veluthat C; Department of Pulmonary Medicine, St. John's National Academy of Health Sciences, Bengaluru, 560034, India., Devaraj U; Department of Pulmonary Medicine, St. John's National Academy of Health Sciences, Bengaluru, 560034, India., Ramachandran P; Department of Pulmonary Medicine, St. John's National Academy of Health Sciences, Bengaluru, 560034, India., D'Souza G; Department of Pulmonary Medicine, St. John's National Academy of Health Sciences, Bengaluru, 560034, India. |
| Source: | Sleep & breathing = Schlaf & Atmung [Sleep Breath] 2023 Jun; Vol. 27 (3), pp. 879-886. Date of Electronic Publication: 2022 Jul 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 9804161 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-1709 (Electronic) Linking ISSN: 15209512 NLM ISO Abbreviation: Sleep Breath Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1522-1709 |
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| DOI: | 10.1007/s11325-022-02683-2 |
