| 000 | 01631 a2200481 4500 | ||
|---|---|---|---|
| 005 | 20250518024816.0 | ||
| 264 | 0 | _c20191021 | |
| 008 | 201910s 0 0 eng d | ||
| 022 | _a1942-597X | ||
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aFialoke, Suruchi | |
| 245 | 0 | 0 |
_aApplication of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients. _h[electronic resource] |
| 260 |
_bAMIA ... Annual Symposium proceedings. AMIA Symposium _c2018 |
||
| 300 |
_a430-439 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAged |
| 650 | 0 | 4 |
_aAlanine Transaminase _xblood |
| 650 | 0 | 4 |
_aAspartate Aminotransferases _xblood |
| 650 | 0 | 4 |
_aBiomarkers _xblood |
| 650 | 0 | 4 | _aCase-Control Studies |
| 650 | 0 | 4 | _aCohort Studies |
| 650 | 0 | 4 | _aDecision Trees |
| 650 | 0 | 4 |
_aDiabetes Mellitus, Type 2 _xcomplications |
| 650 | 0 | 4 | _aDisease Progression |
| 650 | 0 | 4 | _aElectronic Health Records |
| 650 | 0 | 4 |
_aFatty Liver _xcomplications |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aHealth Status |
| 650 | 0 | 4 |
_aHepatitis _xetiology |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 |
_aLiver Cirrhosis _xcomplications |
| 650 | 0 | 4 | _aLiver Function Tests |
| 650 | 0 | 4 | _aLogistic Models |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aMiddle Aged |
| 650 | 0 | 4 |
_aNon-alcoholic Fatty Liver Disease _xcomplications |
| 650 | 0 | 4 | _aRisk Factors |
| 650 | 0 | 4 | _aSupervised Machine Learning |
| 700 | 1 | _aMalarstig, Anders | |
| 700 | 1 | _aMiller, Melissa R | |
| 700 | 1 | _aDumitriu, Alexandra | |
| 773 | 0 |
_tAMIA ... Annual Symposium proceedings. AMIA Symposium _gvol. 2018 _gp. 430-439 |
|
| 999 |
_c29422435 _d29422435 |
||