000 01639 a2200445 4500
005 20250513235217.0
264 0 _c20010830
008 200108s 0 0 eng d
022 _a0008-543X
024 7 _a10.1002/1097-0142(20010415)91:8+<1653::aid-cncr1179>3.0.co;2-b
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aZiada, A M
245 0 0 _aImpact of different variables on the outcome of patients with clinically confined prostate carcinoma: prediction of pathologic stage and biochemical failure using an artificial neural network.
_h[electronic resource]
260 _bCancer
_cApr 2001
300 _a1653-60 p.
_bdigital
500 _aPublication Type: Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
650 0 4 _aAdult
650 0 4 _aBiomarkers, Tumor
650 0 4 _aCarcinoma
_xpathology
650 0 4 _aDisease Progression
650 0 4 _aForecasting
650 0 4 _aHumans
650 0 4 _aMale
650 0 4 _aNeoplasm Recurrence, Local
650 0 4 _aNeoplasm Staging
650 0 4 _aNeural Networks, Computer
650 0 4 _aPreoperative Care
650 0 4 _aPrognosis
650 0 4 _aProstatectomy
650 0 4 _aProstatic Neoplasms
_xpathology
650 0 4 _aSensitivity and Specificity
650 0 4 _aTreatment Outcome
700 1 _aLisle, T C
700 1 _aSnow, P B
700 1 _aLevine, R F
700 1 _aMiller, G
700 1 _aCrawford, E D
773 0 _tCancer
_gvol. 91
_gno. 8 Suppl
_gp. 1653-60
856 4 0 _uhttps://doi.org/10.1002/1097-0142(20010415)91:8+<1653::aid-cncr1179>3.0.co;2-b
_zAvailable from publisher's website
999 _c11244381
_d11244381