Mlforhc.org
Machine Learning for Healthcare
WebMLHC is an annual research meeting that exists to bring together two usually insular disciplines: computer scientists with artificial intelligence, machine learning, and big data expertise, and clinicians/medical researchers. MLHC supports the advancement of data analytics, knowledge discovery, and meaningful use of complex medical data by
Actived: 4 days ago
2021 Conference — Machine Learning for Healthcare
Web15:15 - 16:00 Gold Sponsor Breakout Rooms: Breakout Room 1: HEALTH [at]SCALE: Transform Health Outcomes with Precision Care Delivery (Moderator: Kimis Perros) Access Zoom Link in Gather.Town Breakout Room 1! 16:00 - 17:30 Papers Research Track Posters B [ gather.town] Saturday August 7th, 2021, Virtual.
How-to-write-a-great-MLHC-paper
WebOur goal is to highlight papers that provide generalizable insights about machine learning in the context of health. Your paper should teach us some new understanding, not just wow us with numbers. 1.Blind your paper. This sounds basic, but we’re seeing a large number of submissions with author names -- either in the author block or the headers.
2024 Conference — Machine Learning for Healthcare
Web2024 Program Chairs. Rajesh Ranganath, PhD (NYU Courant Institute of Mathematical Sciences). Zack Lipton, PhD (Carnegie Mellon University). Madalina Fiterau, PhD (University of Massachusetts, Amherst). Shalmali Joshi, PhD (Columbia University). Kaivalya Deshpande, MD (Duke University Medical Center). Iñigo Urteaga, PhD (BCAM). …
2020 Conference — Machine Learning for Healthcare
WebTitle: The Unpaved Path of Deploying Reliable and Human-Centered Machine Learning Systems. Abstract: As Machine Learning systems are increasingly becoming part of user-facing applications, their reliability and robustness are key to building and maintaining trust with users, especially for high-stake domains such as healthcare.
Registration — Machine Learning for Healthcare
WebRegister for your early bird tickets now! Registration for MLHC 2024 includes access to all of the live talks, breakout sessions, poster sessions and includes meals for breakfast and lunch on Friday, August 16th and Saturday, August 17th.
Organizers — Machine Learning for Healthcare
Web2024 Program Chairs. Rajesh Ranganath, PhD (NYU Courant Institute of Mathematical Sciences). Zack Lipton, PhD (Carnegie Mellon University). Madalina Fiterau, PhD (University of Massachusetts, Amherst). Shalmali Joshi, PhD (Columbia University). Kaivalya Deshpande, MD (NYU Langone Health). Iñigo Urteaga, PhD (BCAM). 2024 …
2019 Conference — Machine Learning for Healthcare
Web8:30-9:00 Breakfast. -----Session 3 -----. 9:00-9:45 Mihaela van der Schaar, PhD, John Humphrey Plummer Professor of ML, AI and Medicine, University of Cambridge. Learning Engines for Healthcare: Transforming Medicine through AI-enabled Healthcare Pathways. Abstract: In this talk, I will discuss recent machine learning and AI theory, methods
2023 Accepted Papers — Machine Learning for Healthcare
WebID 147: Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. Sharon Jiang, Zejiang Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David Karger, David Sontag. ID 150: A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization.
2018 Conference — Machine Learning for Healthcare
Web14:45-15:30 Joyce Lee, MD, MPH, University of Michigan. "When perfect algorithms meet Imperfect healthcare systems". Of all chronic diseases, diabetes is perhaps the one with the greatest opportunity for reaping the benefits of machine learning, given the role of patient management and the data-intensive nature of the condition.
2016 Conference — Machine Learning for Healthcare
WebMultiple companies and organizations will soon be carrying out similar levels of analysis on hundreds of thousands of individuals. Machine learning techniques will be essential to bring the patterns out of these exponentially growing datasets. 9:45 Machine learning that matters in healthcare: breaking down the silos. Leo Celi, MD.
2017 Conference — Machine Learning for Healthcare
WebFriday, August 18: 9:00: The BIDMC Explore IT Program, John Halamka, BIDMC. BIDMC has implemented Machine Learning functionality from Amazon and Google to support several use cases. In this presentation, the speaker will review the implementation experience and the outcomes achieved. 9:45: Deep Learning as an FDA-Cleared …
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