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C24 Development of Machine Learning Model for Early Prediction of Clinical Deterioration...

Zohaib Shaikh
Resident Physician at Weill Cornell Medicine
+ 12 speakers
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Machine Learning for Healthcare
August 8, 2020, Online, Los Angeles, CA, USA
Machine Learning for Healthcare
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About speakers

Zohaib Shaikh
Resident Physician at Weill Cornell Medicine
Daniel Witt
Resident Physician (Mayo Clinic) and Data Scientist at Mayo Clinic School of Medicine
Tong Shen
Software Engineer Intern at Salesforce
Harvey Shi
Associate in Research at Duke Institute for Health Innovation (DIHI)
Michael Gao
Data Science Lead at Duke Institute for Health Innovation
Marshall Nichols
Senior IT & Analytics Manager at Duke Institute for Health Innovation
Mark Sendak
Population Health & Data Science Lead at Duke Institute for Health Innovation
Suresh Balu
Program Director at Duke School of Medicine
Karen Osborne
Clinic Director at Taylor Retinal center
Karan Kumar
Pediatric Critical Care Medicine Specialist at Duke University Medical Center
Kimberly Jackson
Assistant Professor of Pediatrics at Duke University
Andrew McCrary
Assistant Professor of Pediatrics at Duke University Hospital
Jennifer Li
Pediatric Cardiologist at Duke University

Danny hails from the upper Midwest (sort of). He is a medical student at the Mayo Clinic in Rochester. Danny has a passion or health delivery systems, disease prevention, population health, and mobile/remote health monitoring. Within these areas, he has a particular interest in patient populations requiring mental health, behavioral health, and chronic disease care. It is clear that data science has an underutilized role in improving patient outcomes and Danny is very interested in pursuing these ends during his career in healthcare and data science.

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I'm Harvey. I am currently an MD/PhD candidate at Duke University. I was previously a research associate at the Duke Institute for Health Innovation (DIHI), building predictive models for clinical decision support. I am interested in the intersection of medicine with computing, engineering, and innovation.

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I'm a Data Enthusiast who is interested in leveraging modern computing tools and statistical/machine learning approaches to solve problems in health care, technology, and beyond. My areas of focus include statistical software, bayesian inference, machine learning, and implementation of such methods into real-world operational settings.

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Marshall is a Data Engineer at DIHI who helps design, develop, and implement modern software solutions to complex clinical problems. These solutions include everything from automated EHR data curation to deploying real-time machine learning models for clinical staff consumption and point-of-care impact. He leverages DevOps principles to ensure that these solutions are efficient to manage, deploy and enhance. Prior to joining DIHI in 2017, Marshall worked as a bioinformatician with Duke’s Center for Applied Genomics & Precision Medicine and ran Molecular Biology wetlabs investigating the human ‘omics response to infection. He completed his BS in Biochemistry at North Carolina State University and a Masters in Biology at East Carolina University. Marshall is passionate about writing elegant code that improves the lives of others. He enjoys solving incredibly difficult problems with amazing people over a great cup of Idido from Counter Culture Coffee.

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Mark Sendak is the Population Health & Data Science Lead at the Duke Institute for Health Innovation, where he leads interdisciplinary teams of data scientists, clinicians, and machine learning experts to build technologies that solve real clinical problems within Duke Health. He has built tools to support Duke's first adult high-utilizerprogram, chronic disease management within a Medicare Accountable Care Organization, and inpatient deterioration management. He leads a medical student innovation scholarship and is focused on building the technology infrastructure and training the workforce required to bring medicine into a new digital age. He has published in both technical venues, including Uncertainty and Artificial Intelligence and the Journal of Machine Learning Research, as well as clinical venues, including eGEMS, PlOS Medicine, and the Journal of Applied Clinical Informatics. He has worked with the National Institutes of Health (NIH) to develop a financial model for using health information technology to improve chronic kidney disease management as well as the American Medical Association (AMA) to advise on reimbursement mechanisms for artificial intelligence in healthcare. He obtained his Bachelors of Science in Mathematics from UCLA, Masters of Public Policy with a focus on health policy from Duke, and MD from Duke University School of Medicine.

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Suresh Balu serves as Associate Dean for Innovation and Partnership for the School of Medicine and as Program Director, for the Duke Institute for Health Innovation (DIHI). Suresh’s experience prior to Duke spans academia, management consulting, venture capital and private equity. As a corporate and competitive strategy consultant, Suresh worked with leading life sciences and technology firms to develop strategies for innovation, revenue generation, organizational restructuring and product portfolio planning. His PE/VC experiences include product and technology due diligence, deal structuring and portfolio company management. As an entrepreneur, Suresh was responsible for program management, market and product strategy at a venture-funded firm that focused on visualization and diagnostic products. Suresh has operational and business development experience in Asia and Europe, where he helped to establish sales channels serving government and academic clients. He is an inventor named on more than 20 US and international patents. Suresh holds MS (Computer Science) and MBA (Corporate Finance) degrees as well as a Master’s degree in Informatics and Bachelor’s degree in Engineering.

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Dr. Jackson graduated from the The Brody School of Medicine At East Carolina University in 2004. She works in Durham, NC and specializes in Pediatric Cardiology and Pediatric Critical Care.

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My goal is to improve the health of children locally and globally with acquired and congenital heart disease through capacity building research. I have specific interest in the non-invasive assessment of cardiac function in at risk children.

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Dr. Li graduated from the Duke University School of Medicine in 1987. She works in Raleigh, NC and specializes in Pediatric Cardiology. Dr. Li is affiliated with Duke University Hospital, Duke Regional Hospital, Wakemed Raleigh Campus and Wakemed Cary Hospital.

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Zohaib Shaikh
Daniel Witt
Tong Shen
Harvey Shi
Michael Gao
Marshall Nichols
Mark Sendak
Suresh Balu
Karen Osborne
Karan Kumar
Kimberly Jackson
Andrew McCrary
Jennifer Li