| 000 | 01132 a2200313 4500 | ||
|---|---|---|---|
| 005 | 20250518083640.0 | ||
| 264 | 0 | _c20210519 | |
| 008 | 202105s 0 0 eng d | ||
| 022 | _a1542-0086 | ||
| 024 | 7 |
_a10.1016/j.bpj.2020.01.012 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aSahli-Costabal, Francisco | |
| 245 | 0 | 0 |
_aClassifying Drugs by their Arrhythmogenic Risk Using Machine Learning. _h[electronic resource] |
| 260 |
_bBiophysical journal _c03 2020 |
||
| 300 |
_a1165-1176 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aAction Potentials |
| 650 | 0 | 4 |
_aArrhythmias, Cardiac _xchemically induced |
| 650 | 0 | 4 | _aComputer Simulation |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 | _aPharmaceutical Preparations |
| 650 | 0 | 4 | _aRisk Assessment |
| 700 | 1 | _aSeo, Kinya | |
| 700 | 1 | _aAshley, Euan | |
| 700 | 1 | _aKuhl, Ellen | |
| 773 | 0 |
_tBiophysical journal _gvol. 118 _gno. 5 _gp. 1165-1176 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.bpj.2020.01.012 _zAvailable from publisher's website |
| 999 |
_c30600479 _d30600479 |
||