Predicting Hospitalization with the Hilltop Institute Analytics Research Team

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Episode_52_Predicting_Hospitilization_with_the_Hilltop_Institute_mixdown_Stereo5zjta.mp3 (43.21 MB)
Episode52PredictingHospitilizationwiththeHilltopInstitute_mixdown_Stereo.pdf (2.23 MB)

Links to Files

https://socialscience.umbc.edu/episode-52/

Permanent Link

http://hdl.handle.net/11603/35707

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UMBC Faculty Collection
A. All Hilltop Institute (UMBC) Works
UMBC Center for Social Science Scholarship
UMBC Computer Science and Electrical Engineering Department
UMBC Economics Department
UMBC Global Studies
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Author/Creator ORCID

https://orcid.org/0000-0002-1545-4270
 https://orcid.org/0000-0001-6814-5634
 https://orcid.org/0000-0003-2454-4187
 https://orcid.org/0000-0002-0869-5738

Date

2024-02-12

Type of Work

podcasts
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Department

Program

Citation of Original Publication

Anson, Ian, host. Interview with Leigh Goetschius, Fei Han, Morgan Henderson, and Jean Kim. “Predicting Hospitalization with the Hilltop Institute Analytics Research Team.” Retrieving the Social Sciences (podcast). February 12, 2024. https://socialscience.umbc.edu/episode-52/.

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Abstract

On today’s episode we hear from Dr. Leigh Goetschius, Data Scientist Advanced, Dr. Fei Han, Principal Data Scientist and Affiliate Assistant Professor in the UMBC Department of Computer Science and Electrical Engineering, and Dr. Morgan Henderson, Principal Data Scientist and Affiliate Assistant Professor in the UMBC Department of Economics. Together, these researchers form the UMBC Hilltop Institute Analytics Research team. Our conversation focuses on their work in creating predictive models in the field of healthcare.