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Tackling Health Inequity using Machine Learning Fairness, AI, and Optimization

Miao will discuss the tools and techniques used to assess, visualize, and improve equity in clinical trials. A set of novel equity metrics for clinical trials is constructed from Machine Learning (ML) Fairness Research to quantify inequities of various subgroups defined over multiple demographic or clinical characteristics, such as Hispanic female subjects who are underweight or no-Hispanic black male subjects aged over 64 and with high fasting glucose level.

Deborah McGuinness and Jamie McCusker Receive Semantic Web Science Association Ten-Year Award

Posted November 12, 2020
Deborah McGuinness and Jamie McCusker were awarded the Semantic Web Science Association (SWSA) Ten-Year Award for a research paper which shed light upon how the use of the semantic concept owl:sameAs was being used and misused for linking data sets on the Web of data.

MortalityMinder: A Web Tool for Visualizing and Investigating Social Determinants of Premature Mortality in the United States

Challenge: Midlife mortality rates are rising in the United States (US), while in many other nations, mortality rates are decreasing. For example, Stein et al. (2017) found that “Deaths of Despair” due to suicide and substance abuse have increased dramatically among white males between the ages of 25-64 particularly in rural America. The MortalityMinder (MM) app’s goal is to enable healthcare researchers, providers, payers, and policy makers to gain actionable insights into how, where, and why midlife mortality rates are rising in the US.System

The Dengue Spread Information System (DSIS)

Mosquitoes are responsible for transfer of many vector-borne diseases. Dengue is one such viral infection that is transmitted by the Aedes mosquito. It is preventable but still the number of Dengue cases have risen 30-fold in the past 50 years. In several countries in south American continent and Asia, dengue is one of the leading causes of death. It is mainly found in tropical and sub-tropical regions, particularly surrounding urban and semi-urban areas.

TWed Talk: Henrique Santos (TWC) on "Making Sense of Common Sense"

DESCRIPTION: The goals of commonsense reasoning systems include being able to answer commonsense reasoning questions. In order to compare systems, a number of benchmark question sets have arisen. Leaderboards have emerged to act as hubs for hosting benchmarks and supporting infrastructure that accepts submissions of commonsense reasoning systems that then get scored against the benchmarks. These benchmarks vary in structure.

Privacy-Preserving Synthetic Health Data for Research and Education

The inability to share private health data can severely stifle research and innovation in health informatics. Studies based on unpublished electronic medical record (EMR) data cannot be reproduced, thus future researchers are not able to use them to develop and compare new research. This contributes to the reproduciblity crisis in biomedical research. Making open data available for research can spur innovation and research. The public Medical Information Mart for Intensive Care datasets, MIMIC-II and MIMIC-III, are widely used with over 2000 citations reported in Google Scholar in March 2020. But since MIMIC-II and MIMIC-III focus on Intensive Care Unit patients in Boston hospitals, the resulting research may be biased and have limited generalization. The cost and time required, along with re-identification risk concerns make de-identification only a partial solution to this problem.

Privacy-Preserving Synthetic Health Data for Research and Education

The inability to share private health data can severely stifle research and innovation in health informatics. Studies based on unpublished electronic medical record (EMR) data cannot be reproduced, thus future researchers are not able to use them to develop and compare new research. This contributes to the reproduciblity crisis in biomedical research. Making open data available for research can spur innovation and research.

Dan Gruen

Dan Gruen is a cognitive scientist who uses a variety of qualitative and quantitative methods to add a human centered perspective to HEALS projects.  He focuses on issues around AI explainability, clinical reasoning, and patient behavioral change   He joined RPI after a career in IBM Research where he served in multiple scientific and leadership roles.  He has also consulted on user experience issues to companies in a range of industries. 

Health INCITE COVID Campus Reopening Summer Projects Final Review: COVIDMINDER (20 Aug 2020)

Please join us for a final review of our IDEA Health INCITE COVID Campus Reopening Summer Projects. During this half-hour our students presented their Summer 2020 work on COVIDMINDER, Data INCITE's COVID monitoring application (initiated in early 2020).

NOTE: Recording of these group presentations were split into two half-hour recordings.

Health INCITE COVID Campus Reopening Summer Projects Final Review: COVID WarRoom/COVID Back-to-School (20 Aug 2020)

Please join us for a final review of our IDEA Health INCITE COVID Campus Reopening Summer Projects. During this half-hour our students presented their Summer 2020 work on the COVID WarRoom and COVID Back-to-School predictive modelling apps.

NOTE: Recording of these group presentations were split into two half-hour recordings.

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