000 | 01095 a2200301 4500 | ||
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005 | 20250517092009.0 | ||
264 | 0 | _c20180101 | |
008 | 201801s 0 0 eng d | ||
022 | _a1469-8978 | ||
024 | 7 |
_a10.1017/S0033291716000611 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aRibeiro, J D | |
245 | 0 | 0 |
_aLetter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction - a reply to Roaldset (2016). _h[electronic resource] |
260 |
_bPsychological medicine _c07 2016 |
||
300 |
_a2009-10 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Comment | ||
650 | 0 | 4 | _aHumans |
650 | 0 | 4 | _aMachine Learning |
650 | 0 | 4 | _aSuicide |
700 | 1 | _aFranklin, J C | |
700 | 1 | _aFox, K R | |
700 | 1 | _aBentley, K H | |
700 | 1 | _aKleiman, E M | |
700 | 1 | _aChang, B P | |
700 | 1 | _aNock, M K | |
773 | 0 |
_tPsychological medicine _gvol. 46 _gno. 9 _gp. 2009-10 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1017/S0033291716000611 _zAvailable from publisher's website |
999 |
_c25937569 _d25937569 |