Applications of machine learning in decision analysis for dose management for dofetilide

Artificial Intelligence in Cardiology

(2018) Kipp W. Johnson et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

An adaptive deep Q-learning strategy for handwritten digit recognition

(2018) Junfei Qiao et al.   NEURAL NETWORKS

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

(2018) Zachi I. Attia et al.   PLoS One

Potentially modifiable factors of dofetilide-associated risk of torsades de pointes among hospitalized patients with atrial fibrillation

(2018) Niyada Naksuk et al.   JOURNAL OF INTERVENTIONAL CARDIAC ELECTROPHYSIOLOGY

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

(2018) Matthieu Komorowski et al.   NATURE MEDICINE

Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System

(2017) Elad Yom-Tov et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Artificial Intelligence in Precision Cardiovascular Medicine

(2017) Chayakrit Krittanawong et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Clinical Decision Analysis and Markov Modeling for Surgeons

(2016) Wouter Hogendoorn et al.   ANNALS OF SURGERY

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Electrocardiographic Predictors of Torsadogenic Risk During Dofetilide or Sotalol Initiation: Utility of a Novel T Wave Analysis Program

(2015) Alan Sugrue et al.   CARDIOVASCULAR DRUGS AND THERAPY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Using statistical text classification to identify health information technology incidents

(2013) Kevin E K Chai et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma

(2011) V Vassiliades et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Informing sequential clinical decision-making through reinforcement learning: an empirical study

(2010) Susan M. Shortreed et al.   MACHINE LEARNING

Markov Decision Processes: A Tool for Sequential Decision Making under Uncertainty

(2010) Oguzhan Alagoz et al.   MEDICAL DECISION MAKING