A Computable Phenotype Model for Classification of Men Who Have Sex With Men Within a Large Linked Database of Laboratory, Surveillance, and Administrative Healthcare Records

by Travis Salway, Travis Salway, Travis Salway, Zahid A. Butt, Zahid A. Butt, Stanley Wong, Younathan Abdia, Robert Balshaw, Ashleigh J. Rich, Aidan Ablona, Jason Wong, Jason Wong, Troy Grennan, Troy Grennan, Amanda Yu, Maria Alvarez, Carmine Rossi, Mark Gilbert, Mark Gilbert, Mel Krajden, Mel Krajden, Naveed Z. Janjua, Naveed Z. Janjua
Published 2020-10-01

Incentivising use of structured language in biological descriptions: Author-driven phenotype data and ontology production

by Hong Cui, James Macklin, Joel Sachs, Anton Reznicek, Julian Starr, Bruce Ford, Lyubomir Penev, Hsin-Liang Chen
Published 2018-11-01

Computational Neuropsychology and Bayesian Inference

by Thomas Parr, Geraint Rees, Geraint Rees, Karl J. Friston
Published 2018-02-01

Development and evaluation of an EHR‐based computable phenotype for identification of pediatric Crohn's disease patients in a National Pediatric Learning Health System

by Ritu Khare, Michael D. Kappelman, Charles Samson, Jennifer Pyrzanowski, Rahul A. Darwar, Christopher B. Forrest, Charles C. Bailey, Peter Margolis, Amanda Dempsey, And the PEDSnet Computable Phenotype Working Group
Published 2020-10-01

Temporal relationship of computed and structured diagnoses in electronic health record data

by Wade L. Schulz, H. Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean, Harlan M. Krumholz
Published 2021-02-01

The Financial Impact of Genetic Diseases in a Pediatric Accountable Care Organization

by Katherine E. Miller, Richard Hoyt, Steve Rust, Rachel Doerschuk, Yungui Huang, Simon M. Lin, Simon M. Lin
Published 2020-02-01

Why does human phenomics matter today?

by Vasa Curcin
Published 2020-10-01

Impact of Diverse Data Sources on Computational Phenotyping

by Liwei Wang, Janet E. Olson, Janet E. Olson, Suzette J. Bielinski, Jennifer L. St. Sauver, Sunyang Fu, Huan He, Mine S. Cicek, Matthew A. Hathcock, James R. Cerhan, Hongfang Liu
Published 2020-06-01

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients

by Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
Published 2020-04-01

External validation of an opioid misuse machine learning classifier in hospitalized adult patients

by Majid Afshar, Brihat Sharma, Sameer Bhalla, Hale M. Thompson, Dmitriy Dligach, Randy A. Boley, Ekta Kishen, Alan Simmons, Kathryn Perticone, Niranjan S. Karnik
Published 2021-03-01