000 | 01062 a2200289 4500 | ||
---|---|---|---|
005 | 20250516041701.0 | ||
264 | 0 | _c20120419 | |
008 | 201204s 0 0 eng d | ||
022 | _a1532-0480 | ||
024 | 7 |
_a10.1016/j.jbi.2011.05.004 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aZhao, Di | |
245 | 0 | 0 |
_aCombining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer prediction. _h[electronic resource] |
260 |
_bJournal of biomedical informatics _cOct 2011 |
||
300 |
_a859-68 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, N.I.H., Extramural | ||
650 | 0 | 4 | _aBayes Theorem |
650 | 0 | 4 | _aDatabases, Factual |
650 | 0 | 4 | _aElectronic Health Records |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 |
_aPancreatic Neoplasms _xdiagnosis |
650 | 0 | 4 | _aPubMed |
650 | 0 | 4 | _aRisk Factors |
700 | 1 | _aWeng, Chunhua | |
773 | 0 |
_tJournal of biomedical informatics _gvol. 44 _gno. 5 _gp. 859-68 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.jbi.2011.05.004 _zAvailable from publisher's website |
999 |
_c20900329 _d20900329 |