Dr. Zhe He, Assistant Professor in the School of Information, has been named a Principal Investigator for a research project with a grant total of $422,382. The research involves studying the generalizability of clinical studies and is titled “Systematic Analysis of Clinical Study Generalizability Assessment Methods with Informatics”. Florida State University will be the main site while the University of Florida is a sub-awardee. The project will take place between January 2019 through November 2020 and is sponsored by the National Institute on Aging of the National Institutes of Health.
In this project, the team will develop an open-source generalizability assessment software toolbox and its accompanying documentations and tutorials. The success of this project will fill a knowledge gap on the validity and utility of the different generalizability assessment methods and provide an easy-to-use toolbox ctGATE for assessing study generalizability much-needed by the clinical research community. This toolbox will help the clinical researchers choose appropriate generalizability assessment methods with readily available implementations and potentially improve the generalizability of results from clinical studies to real-world patients.
This is not the only research success Dr. He has had recently; his newest publication with the eHealth Lab at FSU iSchool is published in The Journal of Biological Databases and Curation and is titled “Extracting Chemical-Protein Interactions From Literature Using Sentence Structure Analysis and Feature Engineering” and is done in collaboration with Pei-Yau Lung, Tingting Zhao, Disa Yu, and Jinfeng Zhang.
The eHealth Lab at FSU has two additional papers to be published and presented in AMIA 2019 Informatics Summit on March 25-29, 2019 in San Francisco, California. The summit is a top medical informatics conference organized by the American Medical Informatics Association. The first paper, titled “Comparing the Study Populations in Dietary Supplement and Drug Clinical Trials for Metabolic Syndrome Related Disorders” is authored by Zhe He, Rubina F. Rizvi, Fan Yang, Terrence J. Adam, and Rui Zhang. The second paper, titled “Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome” also co-authored by Dr. He, is in collaboration with Jiang Bian as well as iSchool graduate student Laura A. Barrett and iSchool doctoral student Seyedeh Neelufar Payrovnaziri.
Read more about the work Dr. Zhe He is doing in the eHealth Lab by clicking here.