Language models are an effective representation learning technique for electronic health record data

Axes of a revolution: challenges and promises of big data in healthcare

(2020) Smadar Shilo et al.   NATURE MEDICINE

Do no harm: a roadmap for responsible machine learning for health care

(2019) Jenna Wiens et al.   NATURE MEDICINE

A call for deep-learning healthcare

(2018) Beau Norgeot et al.   NATURE MEDICINE

Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study

(2017) Suzanne Tamang et al.   BMJ Open

$\mathtt {Deepr}$: A Convolutional Net for Medical Records

(2017) Phuoc Nguyen et al.   IEEE Journal of Biomedical and Health Informatics

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

(2016) Benjamin A Goldstein et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions

(2014) J. Wiens et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING