000 | 01126 a2200301 4500 | ||
---|---|---|---|
005 | 20250517225520.0 | ||
264 | 0 | _c20191227 | |
008 | 201912s 0 0 eng d | ||
022 | _a2168-2208 | ||
024 | 7 |
_a10.1109/JBHI.2018.2819646 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aKumar, Ashwani | |
245 | 0 | 0 |
_aA Two-Stage Model to Predict Surgical Patients' Lengths of Stay From an Electronic Patient Database. _h[electronic resource] |
260 |
_bIEEE journal of biomedical and health informatics _c03 2019 |
||
300 |
_a848-856 p. _bdigital |
||
500 | _aPublication Type: Journal Article | ||
650 | 0 | 4 |
_aData Mining _xmethods |
650 | 0 | 4 | _aDatabases, Factual |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 |
_aLength of Stay _xstatistics & numerical data |
650 | 0 | 4 | _aMedical Informatics |
650 | 0 | 4 | _aModels, Statistical |
650 | 0 | 4 | _aPostoperative Period |
650 | 0 | 4 | _aRegression Analysis |
700 | 1 | _aAnjomshoa, Hamideh | |
773 | 0 |
_tIEEE journal of biomedical and health informatics _gvol. 23 _gno. 2 _gp. 848-856 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1109/JBHI.2018.2819646 _zAvailable from publisher's website |
999 |
_c28619705 _d28619705 |