000 01566 a2200481 4500
005 20250514025422.0
264 0 _c20030305
008 200303s 0 0 eng d
022 _a0364-2313
024 7 _a10.1007/s00268-001-0185-2
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aEldar, Samuel
245 0 0 _aConversion of laparoscopic cholecystectomy to open cholecystectomy in acute cholecystitis: artificial neural networks improve the prediction of conversion.
_h[electronic resource]
260 _bWorld journal of surgery
_cJan 2002
300 _a79-85 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAcute Disease
650 0 4 _aAdolescent
650 0 4 _aAdult
650 0 4 _aAged
650 0 4 _aAged, 80 and over
650 0 4 _aCholecystectomy
650 0 4 _aCholecystectomy, Laparoscopic
650 0 4 _aCholecystitis
_xsurgery
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aMultivariate Analysis
650 0 4 _aNeural Networks, Computer
650 0 4 _aPredictive Value of Tests
650 0 4 _aProspective Studies
650 0 4 _aRegression Analysis
650 0 4 _aSensitivity and Specificity
700 1 _aSiegelmann, Hava T
700 1 _aBuzaglo, Daniel
700 1 _aMatter, Ibrahim
700 1 _aCohen, Ayala
700 1 _aSabo, Edmond
700 1 _aAbrahamson, Jack
773 0 _tWorld journal of surgery
_gvol. 26
_gno. 1
_gp. 79-85
856 4 0 _uhttps://doi.org/10.1007/s00268-001-0185-2
_zAvailable from publisher's website
999 _c11804080
_d11804080