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Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis
In: PLoS ONE, Jg. 16 (2021-12-01), Heft 12, S. e0260517
Online
academicJournal
Zugriff:
Titel: |
Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis
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Autor/in / Beteiligte Person: | Park, Jee Soo ; Kim, Dong Wook ; Lee, Dongu ; Lee, Taeju ; Koo, Kyo Chul ; Han, Woong Kyu ; Chung, Byung Ha ; Lee, Kwang Suk |
Link: | |
Zeitschrift: | PLoS ONE, Jg. 16 (2021-12-01), Heft 12, S. e0260517 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 1932-6203 (print) |
DOI: | 10.1371/journal.pone.0260517 |
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