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Prathamesh Parchure

Showing results (1-10 of 8) with videos related to

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JAMA Network Open|July 10, 2024
Fairness in Predicting Cancer Mortality Across Racial SubgroupsTeja Ganta, Arash Kia, Prathamesh Parchure, et al.
BMJ Supportive & Palliative Care|September 23, 2020
Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19Prathamesh Parchure, Himanshu Joshi, Kavita Dharmarajan, et al.
NPJ Digital Medicine|June 6, 2024
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare systemLathan Liou, Erick Scott, Prathamesh Parchure, et al.
Journal of Human Nutrition and Dietetics : the Official Journal of the British Dietetic Association|February 13, 2024
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohortPrathamesh Parchure, Melanie Besculides, Serena Zhan, et al.
Bioengineering (Basel, Switzerland)|June 27, 2024
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical VentilationPranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, et al.
JAMA Network Open|May 7, 2025
Machine Learning Multimodal Model for Delirium Risk StratificationJoseph I Friedman, Prathamesh Parchure, Fu-Yuan Cheng, et al.
Medrxiv : the Preprint Server for Health Sciences|June 4, 2026
Evaluating Sycophancy in Frontier Models Using Persona-Driven ChallengeNimay Sanjay Hazare, Neha Goel, Clara Yu, et al.
Mayo Clinic Proceedings. Digital Health|December 3, 2025
Identifying Bias at Scale in Clinical Notes Using Large Language ModelsDonald U Apakama, Kim-Anh-Nhi Nguyen, Daphnee Hyppolite, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
JAMA Network Open|July 10, 2024
Fairness in Predicting Cancer Mortality Across Racial SubgroupsTeja Ganta, Arash Kia, Prathamesh Parchure, et al.
BMJ Supportive & Palliative Care|September 23, 2020
Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19Prathamesh Parchure, Himanshu Joshi, Kavita Dharmarajan, et al.
NPJ Digital Medicine|June 6, 2024
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare systemLathan Liou, Erick Scott, Prathamesh Parchure, et al.
Journal of Human Nutrition and Dietetics : the Official Journal of the British Dietetic Association|February 13, 2024
Malnutrition risk assessment using a machine learning-based screening tool: A multicentre retrospective cohortPrathamesh Parchure, Melanie Besculides, Serena Zhan, et al.
Bioengineering (Basel, Switzerland)|June 27, 2024
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical VentilationPranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, et al.
JAMA Network Open|May 7, 2025
Machine Learning Multimodal Model for Delirium Risk StratificationJoseph I Friedman, Prathamesh Parchure, Fu-Yuan Cheng, et al.
Medrxiv : the Preprint Server for Health Sciences|June 4, 2026
Evaluating Sycophancy in Frontier Models Using Persona-Driven ChallengeNimay Sanjay Hazare, Neha Goel, Clara Yu, et al.
Mayo Clinic Proceedings. Digital Health|December 3, 2025
Identifying Bias at Scale in Clinical Notes Using Large Language ModelsDonald U Apakama, Kim-Anh-Nhi Nguyen, Daphnee Hyppolite, et al.
Pageof 1