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1 Ergebnisse
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Machine learning methods can more efficiently predict prost..:
Nitta, Satoshi
;
Tsutsumi, Masakazu
;
Sakka, Shotaro
...
Prostate International. 7 (2019) 3 - p. 114-118 , 2019
Link:
https://doi.org/10.1016/j.prnil.2019.01.001
RT Journal T1
Machine learning methods can more efficiently predict prostate cancer compared with prostate-specific antigen density and prostate-specific antigen velocity
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.prnil.2019.01.001&Exemplar=1&LAN=DE A1 Nitta, Satoshi A1 Tsutsumi, Masakazu A1 Sakka, Shotaro A1 Endo, Tsuyoshi A1 Hashimoto, Kenichiro A1 Hasegawa, Morikuni A1 Hayashi, Takayuki A1 Kawai, Koji A1 Nishiyama, Hiroyuki PB Elsevier BV YR 2019 SN 2287-8882 JF Prostate International VO 7 IS 3 SP 114 OP 118 LK http://dx.doi.org/https://doi.org/10.1016/j.prnil.2019.01.001 DO https://doi.org/10.1016/j.prnil.2019.01.001 SF ELIB - SuUB Bremen
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