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Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study

Sujay Kakarmath, Sara Golas, Jennifer Felsted, Joseph Kvedar, Kamal Jethwani, Stephen Agboola

JMIR Res Protoc 2018;7(9):e176

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Evaluating the Accuracy of an Integrated Vital Sign Measurement Wellness Device

Nicole Polanco, Sharon Odametey, Neda Derakhshani, Mark Khachaturian, Connor Devoe, Kamal Jethwani, Sujay Kakarmath

iproc 2019;5(1):e15203

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Evaluating the Accuracy of the VitalWellness Device

Nicole Polanco, Sharon Odametey, Neda Derakhshani, Mark Khachaturian, Connor Devoe, Kamal Jethwani, Sujay Kakarmath

iproc 2019;5(1):e16250

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Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows

Simone Orlowski, Sunetra Bane, Jaclyn Hirschey, Sujay Kakarmath, Jennifer Felsted, Julie Brown, Stephen Agboola, Kamal Jethwani

iproc 2018;4(2):e11895

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Exploring the Effects of Technology-Enabled Mindfulness and Meditation on Stress Management

Nils Fischer, Stephen Agboola, Jennifer Felsted, Sujay Kakarmath, Sara Bersche Golas, Joseph Kvedar, Kamal Jethwani

iproc 2017;3(1):e23

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Assessing the Usability of an Automated Continuous Temperature Monitoring Device (iThermonitor) in Pediatric Patients: Non-Randomized Pilot Study

Sujay S Kakarmath, Emily de Redon, Amanda Jayne Centi, Ramya Palacholla, Joseph Kvedar, Kamal Jethwani, Stephen Agboola

JMIR Pediatr Parent 2018;1(2):e10804

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Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

Sujay S Kakarmath, Neda Derakhshani, Sara B. Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph Kvedar, Kamal Jethwani, Stephen Agboola

iproc 2018;4(2):e11897

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