2.2k citations · 4k across the 30 of their papers we have counts for
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Generalizability of predictive models for intensive care unit patients
Alistair E. W. Johnson, Tom J. Pollard, Tristan Naumann
A large volume of research has considered the creation of predictive models for clinical data; however, much existing literature reports results using only a single source of data.…
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation
Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan +4
Machine learning for healthcare often trains models on de-identified datasets with randomly-shifted calendar dates, ignoring the fact that data were generated under hospital operat…
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones +15
This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held…
Natural Language Processing for EHR-Based Computational Phenotyping
Zexian Zeng, Yu Deng, Xiaoyu Li +2
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenot…
Visualizing Patient Timelines in the Intensive Care Unit
Dina Levy-Lambert, Jen J. Gong, Tristan Naumann +2
Electronic Health Records (EHRs) contain a large volume of heterogeneous patient data, which are useful at the point of care and for retrospective research. These data are typicall…
Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
Willie Boag, Tristan Naumann, Peter Szolovits
Clinical notes often describe the most important aspects of a patient's physiology and are therefore critical to medical research. However, these notes are typically inaccessible t…
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha +3
Clinical notes often describe important aspects of a patient's stay and are therefore critical to medical research. Clinical concept extraction (CCE) of named entities - such as pr…