| 000 | 01758 a2200505 4500 | ||
|---|---|---|---|
| 005 | 20250518002115.0 | ||
| 264 | 0 | _c20191119 | |
| 008 | 201911s 0 0 eng d | ||
| 022 | _a1532-0480 | ||
| 024 | 7 |
_a10.1016/j.jbi.2018.10.001 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aKlein, Ari Z | |
| 245 | 0 | 0 |
_aSocial media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter. _h[electronic resource] |
| 260 |
_bJournal of biomedical informatics _c11 2018 |
||
| 300 |
_a68-78 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 |
_aCongenital Abnormalities _xdiagnosis |
| 650 | 0 | 4 |
_aData Collection _xmethods |
| 650 | 0 | 4 |
_aData Mining _xmethods |
| 650 | 0 | 4 | _aEurope |
| 650 | 0 | 4 | _aFalse Positive Reactions |
| 650 | 0 | 4 | _aFemale |
| 650 | 0 | 4 | _aGeorgia |
| 650 | 0 | 4 |
_aHeart Defects, Congenital _xdiagnosis |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aIllinois |
| 650 | 0 | 4 | _aInfant |
| 650 | 0 | 4 | _aInfant, Newborn |
| 650 | 0 | 4 | _aInternational Classification of Diseases |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aMale |
| 650 | 0 | 4 | _aNatural Language Processing |
| 650 | 0 | 4 | _aPregnancy |
| 650 | 0 | 4 | _aReproducibility of Results |
| 650 | 0 | 4 | _aSocial Media |
| 650 | 0 | 4 | _aUnified Medical Language System |
| 650 | 0 | 4 | _aUnited States |
| 700 | 1 | _aSarker, Abeed | |
| 700 | 1 | _aCai, Haitao | |
| 700 | 1 | _aWeissenbacher, Davy | |
| 700 | 1 | _aGonzalez-Hernandez, Graciela | |
| 773 | 0 |
_tJournal of biomedical informatics _gvol. 87 _gp. 68-78 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.jbi.2018.10.001 _zAvailable from publisher's website |
| 999 |
_c28911367 _d28911367 |
||