000 | 01492 a2200397 4500 | ||
---|---|---|---|
005 | 20250518081144.0 | ||
264 | 0 | _c20200511 | |
008 | 202005s 0 0 eng d | ||
022 | _a1091-6490 | ||
024 | 7 |
_a10.1073/pnas.1905355117 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aHastings, Justine S | |
245 | 0 | 0 |
_aPredicting high-risk opioid prescriptions before they are given. _h[electronic resource] |
260 |
_bProceedings of the National Academy of Sciences of the United States of America _c01 2020 |
||
300 |
_a1917-1923 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
650 | 0 | 4 | _aAged |
650 | 0 | 4 | _aAlgorithms |
650 | 0 | 4 |
_aAnalgesics, Opioid _xtherapeutic use |
650 | 0 | 4 |
_aDrug Prescriptions _xstandards |
650 | 0 | 4 | _aFemale |
650 | 0 | 4 | _aHumans |
650 | 0 | 4 | _aMachine Learning |
650 | 0 | 4 | _aMale |
650 | 0 | 4 | _aMiddle Aged |
650 | 0 | 4 |
_aOpioid-Related Disorders _xdrug therapy |
650 | 0 | 4 |
_aPractice Patterns, Physicians' _xstandards |
650 | 0 | 4 | _aPredictive Value of Tests |
650 | 0 | 4 |
_aPrescription Drug Misuse _xprevention & control |
650 | 0 | 4 |
_aRhode Island _xepidemiology |
650 | 0 | 4 |
_aRisk Assessment _xmethods |
700 | 1 | _aHowison, Mark | |
700 | 1 | _aInman, Sarah E | |
773 | 0 |
_tProceedings of the National Academy of Sciences of the United States of America _gvol. 117 _gno. 4 _gp. 1917-1923 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1073/pnas.1905355117 _zAvailable from publisher's website |
999 |
_c30518581 _d30518581 |