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Identification of elders at higher risk for fall with state..:
Ye, Chengyin
;
Li, Jinmei
;
Hao, Shiying
...
International Journal of Medical Informatics. 137 (2020) - p. 104105 , 2020
Link:
https://doi.org/10.1016/j.ijmedinf.2020.104105
RT Journal T1
Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijmedinf.2020.104105&Exemplar=1&LAN=DE A1 Ye, Chengyin A1 Li, Jinmei A1 Hao, Shiying A1 Liu, Modi A1 Jin, Hua A1 Zheng, Le A1 Xia, Minjie A1 Jin, Bo A1 Zhu, Chunqing A1 Alfreds, Shaun T. A1 Stearns, Frank A1 Kanov, Laura A1 Sylvester, Karl G. A1 Widen, Eric A1 McElhinney, Doff A1 Ling, Xuefeng Bruce PB Elsevier BV YR 2020 SN 1386-5056 JF International Journal of Medical Informatics VO 137 SP 104105 LK http://dx.doi.org/https://doi.org/10.1016/j.ijmedinf.2020.104105 DO https://doi.org/10.1016/j.ijmedinf.2020.104105 SF ELIB - SuUB Bremen
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