Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome.
Huilong DuanZhoujian SunWei DongZhengxing HuangPublished in: BMC medical informatics and decision making (2019)
We hypothesize that our proposed model adapted to leverage dynamic treatment information in EHR data appears to boost the performance of MACE prediction for ACS, and can readily meet the demand clinical prediction of other diseases, from a large volume of EHR in an open-ended fashion.