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High-dimensional machine learning to predict hospital readmission among older people with chronic kidney disease: abridged secondary publication.
Zhang, Q; Leung, E; Lau, J T F; Tsoi, K K F; So, H Y; Ho, W W S; Cheung, S C Y.
Affiliation
  • Zhang Q; School of Data Science, City University of Hong Kong, Hong Kong SAR, China.
  • Leung E; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Lau JTF; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Tsoi KKF; The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • So HY; Department of Quality and Safety, Prince of Wales Hospital, Hong Kong SAR, China.
  • Ho WWS; Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong SAR, China.
  • Cheung SCY; Department of Medicine, Queen Elizabeth Hospital, Hong Kong SAR, China.
Hong Kong Med J ; 29 Suppl 1(1): 24-26, 2023 02.
Article in En | MEDLINE | ID: mdl-36919215
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Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Renal Insufficiency, Chronic Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Humans Language: En Journal: Hong Kong Med J Journal subject: MEDICINA Year: 2023 Type: Article Affiliation country: China
Search on Google
Print
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PubMed Links

Collection: 01-internacional Database: MEDLINE Main subject: Patient Readmission / Renal Insufficiency, Chronic Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Humans Language: En Journal: Hong Kong Med J Journal subject: MEDICINA Year: 2023 Type: Article Affiliation country: China