Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning

In this paper, we developed a personalized anticoagulant treatment recommendation model for atrial fibrillation (AF) patients based on reinforcement learning (RL) and evaluated the effectiveness of the model in terms of short-term and long-term outcomes. The data used in our work were baseline and f...

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Dades bibliogràfiques
Publicat a:AMIA Annu Symp Proc
Autors principals: Zuo, Lei, Du, Xin, Zhao, Wei, Jiang, Chao, Xia, Shijun, He, Liu, Liu, Rong, Tang, Ribo, Bai, Rong, Dong, Jianzeng, Sun, Xingzhi, Hu, Gang, Xie, Guotong, Ma, Changsheng
Format: Artigo
Idioma:Inglês
Publicat: American Medical Informatics Association 2021
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Articles
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8075452/
https://ncbi.nlm.nih.gov/pubmed/33936519
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