000 | 01658 a2200457 4500 | ||
---|---|---|---|
005 | 20250518025312.0 | ||
264 | 0 | _c20200619 | |
008 | 202006s 0 0 eng d | ||
022 | _a1558-349X | ||
024 | 7 |
_a10.1016/j.jacr.2018.12.004 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aBrown, A D | |
245 | 0 | 0 |
_aNatural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization. _h[electronic resource] |
260 |
_bJournal of the American College of Radiology : JACR _cJun 2019 |
||
300 |
_a840-844 p. _bdigital |
||
500 | _aPublication Type: Journal Article | ||
650 | 0 | 4 | _aAged |
650 | 0 | 4 | _aArea Under Curve |
650 | 0 | 4 |
_aCarcinoma, Hepatocellular _xdiagnostic imaging |
650 | 0 | 4 | _aDatabases, Factual |
650 | 0 | 4 | _aFemale |
650 | 0 | 4 |
_aHealth Resources _xstatistics & numerical data |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 |
_aLiver Neoplasms _xdiagnostic imaging |
650 | 0 | 4 |
_aMachine Learning _xeconomics |
650 | 0 | 4 | _aMale |
650 | 0 | 4 | _aMiddle Aged |
650 | 0 | 4 | _aNatural Language Processing |
650 | 0 | 4 | _aOntario |
650 | 0 | 4 | _aPredictive Value of Tests |
650 | 0 | 4 | _aROC Curve |
650 | 0 | 4 | _aRadiology Department, Hospital |
650 | 0 | 4 | _aRadiology Information Systems |
650 | 0 | 4 | _aResearch Report |
650 | 0 | 4 | _aRetrospective Studies |
650 | 0 | 4 | _aSensitivity and Specificity |
650 | 0 | 4 |
_aTomography, X-Ray Computed _xeconomics |
700 | 1 | _aKachura, J R | |
773 | 0 |
_tJournal of the American College of Radiology : JACR _gvol. 16 _gno. 6 _gp. 840-844 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.jacr.2018.12.004 _zAvailable from publisher's website |
999 |
_c29440229 _d29440229 |