Machine Learning | External | Training Resources | All Resources

Gradient Boosting

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Gradient Boost is one of the most popular Machine Learning algorithms in use. And get this, it’s not that complicated! This video is the first part in a series that walks through it one step at a time. This video focuses on the main ideas behind using Gradient Boost to predict a continuous value, like someone’s weight. We call this, “using Gradient Boost for Regression”. In the next video, we’ll work through the math to prove that Gradient Boost for Regression really is this simple. In part 3, we’ll walk though how Gradient Boost classifies samples into two different categories, and in part 4, we’ll go through the math again, this time focusing on classification.

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Clinical/biomedical | Penn Resources | All Resources

Home Care Suite

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The Home Care Suite is an actual home environment within the Helene Fuld Pavilion for Innovative Learning and Simulation in the University of Pennsylvania School of Nursing, serving as a platform to facilitate new ideas and tools for processes and systems that promote health and wellness, disease prevention and management in the home/ community setting across the lifespan. Within this space (that is built as a studio apartment) various technologies are installed (for short or long term) and pilot-tested. The goal is to accelerate design and testing of innovative health solutions in the home recognizing that simulated environments yield more unique responses and drive better explorations about prototypes and solutions.

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Economics | Penn Resources | All Resources

Leonard Davis Institute of Health Economics (Penn LDI)

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The mission of Penn LDI is to achieve effective and efficient health care for all people by supporting collaborative, interdisciplinary, cutting-edge research, and education. As Penn’s hub for health care delivery, health policy, and population health, the LDI connects and amplifies over 500 Fellows across the University, and trains the next generation of researchers.

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AITC Consortium | Basic Information | PennAITech Awardees | All Resources

Leveraging Patient Portals to Support Caregivers

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Using natural language processing to create an AI-based algorithm from EMR data to identify non-traditional caregivers who might benefit from dyadic interventions
Awardee Organization(s): University of Colorado | Kaiser Permanente
Principal Investigator(s): Jennifer Portz, PhD
Official Project Title: Leveraging Patient Portals to Support Caregivers
AITC Partner: PennAITech
Website(s): www.medschool.cuanschutz.edu/general-internal-medicine, www.kpco-ihr.org

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Internal | Machine Learning | Training Resources | All Resources

Machine Learning Essentials for Biomedical Data Science

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An educational playlist (including 11 videos) covering the key essentials for using machine learning as part of a data science analysis pipeline. While topics are primarily framed around applications in biomedicine, this content is broadly applicable to other domains. This series was prepared at the Cedars Sinai Medical Center in Los Angeles by Dr. Ryan Urbanowicz of the Department of Computational Biomedicine.

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Clinical/biomedical | Penn Resources | All Resources

Mahoney Institute for Neurosciences

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Founded as the Institute of Neurological Sciences in 1953 by the visionary professor of Anatomy, Dr. Louis Flexner, our Institute was renamed in 1985 to reflect the keen interest and support that corporate magnate David Mahoney brought to neuroscience. MINS founded and continues to provide substantial support for the Neuroscience Graduate Group (NGG), Penn’s award-winning doctoral program in neuroscience.

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