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Utilizing machine learning to discern hidden clinical values from big data in urology
- Source :
- Investigative and Clinical Urology, Vol 61, Iss 3, Pp 239-241 (2020)
- Publication Year :
- 2020
- Publisher :
- Korean Urological Association, 2020.
- Subjects :
- Diseases of the genitourinary system. Urology
RC870-923
Subjects
Details
- Language :
- English
- ISSN :
- 24660493, 2466054X, and 11017554
- Volume :
- 61
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- Investigative and Clinical Urology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.281d11017554d45aa3155ecc125497b
- Document Type :
- article
- Full Text :
- https://doi.org/10.4111/icu.2020.61.3.239