Deep Learning for Medication Recommendation:A Systematic Survey

查看全文 作　　者：Zafar [1]Ali;Yi [2]Huang;Irfan [3]Ullah;Junlan [2]Feng;Chao [2]Deng;Nimbeshaho [4]Thierry;Asad [1]Khan;Asim Ullah [1]Jan;Xiaoli [1]Shen;Wu [1]Ruil;Guilin [1]Qi

机构地区：[1]School of Computer Science and Engineering,Southeast University,Nanjing 210096,China;[2]China Mobile Research Institute,Beijing 100053,China;[3]Department of Computer Science,Shaheed Benazir Bhutto University,Sheringal 18050,Pakistan;[4]College of Information and Communication Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China

出　　处：《Data Intelligence》索引2023年第5卷第2期,共52页

基　　金：funded by Southeast University-China Mobile Research Institute Joint Innovation Center undergrantno.CMYJY-202200475。 摘　　要：Making medication prescriptions in response to the patient's diagnosis is a challenging task.The number of pharmaceutical companies,their inventory of medicines,and the recommended dosage confront a doctor with the well-known problem of information and cognitive overload.To assist a medical practitioner in making informed decisions regarding a medical prescription to a patient,researchers have exploited electronic health records(EHRs)in automatically recommending medication.In recent years,medication recommendation using EHRs has been a salient research direction,which has attracted researchers to apply various deep learning(DL)models to the EHRs of patients in recommending prescriptions.Yet,in the absence of a holistic survey article,it needs a lot of effort and time to study these publications in order to understand the current state of research and identify the best-performing models along with the trends and challenges.To fill this research gap,this survey reports on state-of-the-art DL-based medication recommendation methods.It reviews the classification of DL-based medication recommendation(MR)models,compares their performance,and the unavoidable issues they face.It reports on the most common datasets and metrics used in evaluating MR models.The findings of this study have implications for researchers interested in MR models. 关键词：Deep Learning Recommendation models PERSONALIZATION Medication recommendation Systematic review

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Deep Learning for Medication Recommendation:A Systematic Survey

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