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Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?

Publication: Journal Article

Beaulieu-Jones, Brett, William Yuan, Gabriel Brat, Andrew Beam, Griffin Weber, Marshall Ruffin, and Isaac Kohane. 2021. “Machine Learning for Patient Risk Stratification: Standing On, or Looking Over, the Shoulders of Clinicians?”. NPJ Digit Med 4 (1): 62.

Our lab is actively seeking talented individuals to join our team. We currently have open positions for: Clinical Research Fellow (Surgical & Non-Surgical Residents) How to Apply To apply, please submit your Curriculum Vitae (CV), including a list of publications, or direct any questions to Dr...

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Major Data Resources Aetna, Inc. medical and pharmacy claims for over 70M patients over 10 years. BIDMC medical and pharmacy claims data organized to 1997. BIDMC medical record data, including all medication administrations, lab, surgical notes, OR data, and cost and reimbursement information over 7...

Hao Wei Chen

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I am a 4th year medical student from Universidad de Cuenca in Cuenca, Ecuador. I am interested in general surgery and would like to pursue research in surgical outcomes, artificial intelligence, and patient education.

Yilun Zhang

Person: Research Assistant

Yilun is a medical student at the Tufts University School of Medicine who is interested in the use of computer vision and natural language processing (NLP) techniques to improve the delivery and evaluation of surgical techniques and care. His main projects include using a deep learning, computer...

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Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?

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Hao Wei Chen

Yilun Zhang

Comparing Clinician Consensus Recommendations to Patient-reported Opioid Use Across Multiple Hospital Systems

Kortney Robinson

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