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Fusion of Chest Radiographs and Electronic Medical Records using Deep Learning to Predict Intubation among Hospitalized Patients with COVID-19

Fusion of Chest Radiographs and Electronic Medical Records using Deep Learning to Predict Intubation among Hospitalized Patients with COVID-19

Mar 23, 2022 | Research

The following is a summary of a presentation conducted by our team for the AMIA 2022 Informatics Summit which took place on March 21-24, 2022. For more information, visit...
Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce

Strategies for Use of Training, Mentoring, and Sponsoring for Increasing Women in Biostatistics and Data Science Workforce

Oct 8, 2021 | Research

The following is a summary of a conference presentation conducted by our team at the Women in Statistics and Data Science Conference, which took place October 6-8, 2021. More information can be found at...
Deployment, Adoption, and Clinical Impact of a Real-Time Ventilator Management Dashboard

Deployment, Adoption, and Clinical Impact of a Real-Time Ventilator Management Dashboard

May 3, 2021 | Research

The following is a summary of a thematic poster presentation conducted by our team for the American Thoracic Society 2021 International Conference, which took place May 14-19, 2021. For more information, visit...
Deployment, Adoption, and Clinical Impact of a Real-Time Ventilator Management Dashboard

Predicting Readiness to Liberate from Mechanical Ventilation Using Machine Learning: Development and Retrospective Validation

May 3, 2021 | Research

The following is a summary of a thematic poster presentation conducted by our team for the American Thoracic Society 2021 International Conference, which took place May 14-19, 2021. For more information, visit...
Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19

Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19

Sep 22, 2020 | Research

This paper was published in BMJ Supportive and Palliative Care 2022;12:e424-e431. Parchure P, Joshi H, Dharmarajan K, et al. Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19. BMJ...
MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities

MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities

Jul 23, 2020 | Projects, Research

The paper below was published in the Journal of the American College of Nutrition, 40:1,3-12. Prem Timsina, Himanshu N. Joshi, Fu-Yuan Cheng, Ilana Kersch, Sara Wilson, Claudia Colgan, Robert Freeman, David L. Reich, Jeffrey Mechanick, Madhu Mazumdar, Matthew A. Levin...
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