Analyzing Patient Trajectories With Artificial Intelligence

Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis

(2021) James Scheibner et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

(2021) Nenad Tomašev et al.   Nature Protocols

Predicting morbidity by local similarities in multi-scale patient trajectories

(2021) Lucía A. Carrasco-Ribelles et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The Clinician and Dataset Shift in Artificial Intelligence

(2021) Samuel G. Finlayson et al.   NEW ENGLAND JOURNAL OF MEDICINE

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan

(2021) Sercan Ö. Arık et al.   npj Digital Medicine

Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG

(2020) Mihaela Porumb et al.   Scientific Reports

Prediction Models — Development, Evaluation, and Clinical Application

(2020) Michael J. Pencina et al.   NEW ENGLAND JOURNAL OF MEDICINE

LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data

(2020) Li Huang et al.   PLoS One

BEHRT: Transformer for Electronic Health Records

(2020) Yikuan Li et al.   Scientific Reports

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

(2020) Micah J. Sheller et al.   Scientific Reports

Pattern classification with Evolving Long-term Cognitive Networks

(2020) Gonzalo Nápoles et al.   INFORMATION SCIENCES

Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health

(2020) Peng Liao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Welcoming new guidelines for AI clinical research

(2020) Eric J. Topol   NATURE MEDICINE

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

(2020) Samantha Cruz Rivera et al.   BMJ-British Medical Journal

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

(2020) Xiaoxuan Liu et al.   BMJ-British Medical Journal

Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis

(2020) Ivan Kholod et al.   SENSORS

Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction

(2019) Juan Zhao et al.   Scientific Reports

Population-wide analysis of differences in disease progression patterns in men and women

(2019) David Westergaard et al.   Nature Communications

Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes

(2019) Ashenafi Zebene Woldaregay et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Machine Learning in Medicine

(2019) Alvin Rajkomar et al.   NEW ENGLAND JOURNAL OF MEDICINE

A clinically applicable approach to continuous prediction of future acute kidney injury

(2019) Nenad Tomašev et al.   NATURE

Neural networks versus Logistic regression for 30 days all-cause readmission prediction

(2019) Ahmed Allam et al.   Scientific Reports

Multitask learning and benchmarking with clinical time series data

(2019) Hrayr Harutyunyan et al.   Scientific Data

Incorporating symptom data in longitudinal disease trajectories for more detailed patient stratification

(2019) Martin Lademann et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Patient Clustering Improves Efficiency of Federated Machine Learning to Predict Mortality and Hospital Stay Time Using Distributed Electronic Medical Records

(2019) Li Huang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes

(2018) Ahmed M. Alaa et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Benchmarking deep learning models on large healthcare datasets

(2018) Sanjay Purushotham et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

(2018) Ivan Contreras et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

(2018) Cao Xiao et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data

(2018) Stefan Ravizza et al.   NATURE MEDICINE

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

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

(2018) Matthieu Komorowski et al.   NATURE MEDICINE

Characterizing treatment pathways at scale using the OHDSI network

(2016) George Hripcsak et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Patient Similarity: Emerging Concepts in Systems and Precision Medicine

(2016) Sherry-Ann Brown   Frontiers in Physiology

Type 2 Diabetes Mellitus Trajectories and Associated Risks

(2016) Wonsuk Oh et al.   Big Data

Diagnosis trajectories of prior multi-morbidity predict sepsis mortality

(2016) Mette K. Beck et al.   Scientific Reports

Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients

(2014) Anders Boeck Jensen et al.   Nature Communications

Clustering Multivariate Time Series Using Hidden Markov Models

(2014) Shima Ghassempour et al.   International Journal of Environmental Research and Public Health

Discovery of clinical pathway patterns from event logs using probabilistic topic models

(2013) Zhengxing Huang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A fuzzy cognitive map of the psychosocial determinants of obesity

(2012) Philippe J. Giabbanelli et al.   APPLIED SOFT COMPUTING

Methods for dealing with time-dependent confounding

(2012) R.M. Daniel et al.   STATISTICS IN MEDICINE

Progression of liver cirrhosis to HCC: an application of hidden Markov model

(2011) Nicola Bartolomeo et al.   BMC Medical Research Methodology

Hidden Markov models for alcoholism treatment trial data

(2010) Kenneth E. Shirley et al.   Annals of Applied Statistics

Computing arbitrary functions of encrypted data

(2010) Craig Gentry   COMMUNICATIONS OF THE ACM