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Deep learning is revolutionizing predictive healthcare, including recommending medications to patients with complex health conditions.
Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy
Daniel Almirall, Scott N Compton, Meredith Gunlicks-Stoessel, Naihua Duan, and Susan A Murphy · 2012
Earlier work this paper cites.
Data-driven prediction of drug effects and interactions
Nicholas P Tatonetti, P Ye Patrick, Roxana Daneshjou, and Russ B Altman · 2012
Earlier work this paper cites.
Informatics confronts drug–drug interactions
Bethany Percha and Russ B Altman · 2013
Earlier work this paper cites.
A physician advisory system for chronic heart failure management based on knowledge patterns
Zhuo Chen, Kyle Marple, Elmer Salazar, Gopal Gupta, and Lakshman Tamil · 2016
Earlier work this paper cites.
Retain: An interpretable predictive model for healthcare using reverse time attention mechanism
Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart · 2016
Earlier work this paper cites.
Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-Wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
Earlier work this paper cites.
Predicting medications from diagnostic codes with recurrent neural networks
Jacek M Bajor and Thomas A Lasko · 2017
Earlier work this paper cites.
Using recurrent neural network models for early detection of heart failure onset
Edward Choi, Andy Schuetz, Walter F Stewart, and Jimeng Sun · 2017
Cited alongside, same era.
Learning cost-effective and interpretable treatment regimes
Himabindu Lakkaraju and Cynthia Rudin · 2017
Cited alongside, same era.
Safe medicine recommendation via medical knowledge graph embedding
Meng Wang, Mengyue Liu, Jun Liu, Sen Wang, Guodong Long, and Buyue Qian · 2017
Cited alongside, same era.
Leap: Learning to prescribe effective and safe treatment combinations for multimorbidity
Yutao Zhang, Robert Chen, Jie Tang, Walter F Stewart, and Jimeng Sun · 2017
Cited alongside, same era.
Dual memory neural computer for asynchronous two-view sequential learning
Hung Le, Truyen Tran, and Svetha Venkatesh · 2018
Cited alongside, same era.
Learning to prescribe interventions for tuberculosis patients using digital adherence data
Jackson A Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, and Milind Tambe · 2019
Later among the works it cites.
Medgcn: Graph convolutional networks for multiple medical tasks
Chengsheng Mao, Liang Yao, and Yuan Luo · 2019
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Pre-training of graph augmented transformers for medication recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao, and Jimeng Sun · 2019
Later among the works it cites.
Gamenet: Graph augmented memory networks for recommending medication combination
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, and Jimeng Sun · 2019
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Order-free medicine combination prediction with graph convolutional reinforcement learning
Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, and Maarten de Rijke · 2019
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Supervised reinforcement learning with recurrent neural network for dynamic treatment recommendation
Lu Wang, Wei Zhang, Xiaofeng He, and Hongyuan Zha · 2018
Cited alongside, same era.
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Cao Xiao, Edward Choi, and Jimeng Sun · 2018
Cited alongside, same era.
Later among the works it cites.
Premier: Personalized recommendation for medical prescriptions from electronic records
Suman Bhoi, Lee Mong Li, and Wynne Hsu · 2020
Later among the works it cites.