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Marika Cusick

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

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BMJ Open|February 28, 2023
Measuring concordance of data sources used for infectious disease research in the USA: a retrospective data analysisMaimuna S Majumder, Marika Cusick, Sherri Rose
Scientific Reports|February 1, 2023
Impact of air pollution on running performanceMarika Cusick, Sebastian T Rowland, Nicholas DeFelice
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
Characterizing Basic and Complex Usage of i2b2 at an Academic Medical CenterEvan T Sholle, Marika Cusick, Marcos A Davila, et al.
The International Journal of Eating Disorders|May 17, 2023
A multisite comparison using electronic health records and natural language processing to identify the association between suicidality and hospital readmission amongst patients with eating disordersCharlotte Cliffe, Marika Cusick, Sumithra Vellupillai, et al.
Journal of Biomedical Informatics|April 16, 2021
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record dataEdward J Schenck, Katherine L Hoffman, Marika Cusick, et al.
Journal of Affective Disorders Reports|January 16, 2023
Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health recordsMarika Cusick, Sumithra Velupillai, Johnny Downs, et al.
Medrxiv : the Preprint Server for Health Sciences|December 11, 2025
A microsimulation-based framework for mitigating societal bias in primary care dataAgata Foryciarz, Fernando Alarid-Escudero, Gabriela Basel, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Comparative Merits of Available Mortality Data Sources for Clinical ResearchEvan T Sholle, Marcos A Davila, Kristin Kostka, et al.
Journal of Psychiatric Research|February 13, 2021
Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideationMarika Cusick, Prakash Adekkanattu, Thomas R Campion, et al.
Medrxiv : the Preprint Server for Health Sciences|January 7, 2025
A Natural Language Processing Pipeline based on the Columbia-Suicide Severity Rating ScaleLauren A Lepow, Prakash Adekkanattu, Marika Cusick, et al.
Pageof 2

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

Sort By:
Pageof 2
BMJ Open|February 28, 2023
Measuring concordance of data sources used for infectious disease research in the USA: a retrospective data analysisMaimuna S Majumder, Marika Cusick, Sherri Rose
Scientific Reports|February 1, 2023
Impact of air pollution on running performanceMarika Cusick, Sebastian T Rowland, Nicholas DeFelice
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
Characterizing Basic and Complex Usage of i2b2 at an Academic Medical CenterEvan T Sholle, Marika Cusick, Marcos A Davila, et al.
The International Journal of Eating Disorders|May 17, 2023
A multisite comparison using electronic health records and natural language processing to identify the association between suicidality and hospital readmission amongst patients with eating disordersCharlotte Cliffe, Marika Cusick, Sumithra Vellupillai, et al.
Journal of Biomedical Informatics|April 16, 2021
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record dataEdward J Schenck, Katherine L Hoffman, Marika Cusick, et al.
Journal of Affective Disorders Reports|January 16, 2023
Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health recordsMarika Cusick, Sumithra Velupillai, Johnny Downs, et al.
Medrxiv : the Preprint Server for Health Sciences|December 11, 2025
A microsimulation-based framework for mitigating societal bias in primary care dataAgata Foryciarz, Fernando Alarid-Escudero, Gabriela Basel, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|January 15, 2024
Comparative Merits of Available Mortality Data Sources for Clinical ResearchEvan T Sholle, Marcos A Davila, Kristin Kostka, et al.
Journal of Psychiatric Research|February 13, 2021
Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideationMarika Cusick, Prakash Adekkanattu, Thomas R Campion, et al.
Medrxiv : the Preprint Server for Health Sciences|January 7, 2025
A Natural Language Processing Pipeline based on the Columbia-Suicide Severity Rating ScaleLauren A Lepow, Prakash Adekkanattu, Marika Cusick, et al.
Pageof 2