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Caitlin E Coombes

Showing results (1-10 of 11) with videos related to

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Current Infectious Disease Reports|October 21, 2019
The Current and Future Use of Telemedicine in Infectious Diseases PracticeCaitlin E Coombes, Megan E Gregory
BMC Medical Informatics and Decision Making|March 22, 2021
A novel model to label delirium in an intensive care unit from clinician actionsCaitlin E Coombes, Kevin R Coombes, Naleef Fareed
Chemistry & Biodiversity|October 10, 2022
Sequences of Events from the Electronic Medical Record and the Onset of InfectionCaitlin E Coombes, Kevin R Coombes, Naleef Fareed
Bioinformatics (Oxford, England)|January 30, 2021
Mercator: a pipeline for multi-method, unsupervised visualization and distance generationZachary B Abrams, Caitlin E Coombes, Suli Li, et al.
Journal of Biomedical Informatics|April 16, 2021
Simulation-derived best practices for clustering clinical dataCaitlin E Coombes, Xin Liu, Zachary B Abrams, et al.
Anaesthesia|February 2, 2025
Beyond the 'black box': choosing interpretable machine learning models for predicting postoperative opioid trendsSeshadri C Mudumbai, James Baurley, Caitlin E Coombes, et al.
Journal of the American Medical Informatics Association : JAMIA|June 3, 2020
Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemiaCaitlin E Coombes, Zachary B Abrams, Suli Li, et al.
Cancers|August 10, 2024
Topological Structures in the Space of Treatment-Naïve Patients with Chronic Lymphocytic LeukemiaReginald L McGee, Jake Reed, Caitlin E Coombes, et al.
BMC Bioinformatics|March 2, 2021
Pattern recognition in lymphoid malignancies using CytoGPS and MercatorZachary B Abrams, Dwayne G Tally, Lin Zhang, et al.
Cancer Genetics|October 15, 2020
CytoGPS: A large-scale karyotype analysis of CML dataZachary B Abrams, Suli Li, Lin Zhang, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Current Infectious Disease Reports|October 21, 2019
The Current and Future Use of Telemedicine in Infectious Diseases PracticeCaitlin E Coombes, Megan E Gregory
BMC Medical Informatics and Decision Making|March 22, 2021
A novel model to label delirium in an intensive care unit from clinician actionsCaitlin E Coombes, Kevin R Coombes, Naleef Fareed
Chemistry & Biodiversity|October 10, 2022
Sequences of Events from the Electronic Medical Record and the Onset of InfectionCaitlin E Coombes, Kevin R Coombes, Naleef Fareed
Bioinformatics (Oxford, England)|January 30, 2021
Mercator: a pipeline for multi-method, unsupervised visualization and distance generationZachary B Abrams, Caitlin E Coombes, Suli Li, et al.
Journal of Biomedical Informatics|April 16, 2021
Simulation-derived best practices for clustering clinical dataCaitlin E Coombes, Xin Liu, Zachary B Abrams, et al.
Anaesthesia|February 2, 2025
Beyond the 'black box': choosing interpretable machine learning models for predicting postoperative opioid trendsSeshadri C Mudumbai, James Baurley, Caitlin E Coombes, et al.
Journal of the American Medical Informatics Association : JAMIA|June 3, 2020
Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemiaCaitlin E Coombes, Zachary B Abrams, Suli Li, et al.
Cancers|August 10, 2024
Topological Structures in the Space of Treatment-Naïve Patients with Chronic Lymphocytic LeukemiaReginald L McGee, Jake Reed, Caitlin E Coombes, et al.
BMC Bioinformatics|March 2, 2021
Pattern recognition in lymphoid malignancies using CytoGPS and MercatorZachary B Abrams, Dwayne G Tally, Lin Zhang, et al.
Cancer Genetics|October 15, 2020
CytoGPS: A large-scale karyotype analysis of CML dataZachary B Abrams, Suli Li, Lin Zhang, et al.
Pageof 2