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CDS Seminar(25 March, 2019): A Smorgasbord of Biomedical Data Science Applications
25 Mar @ 11:00 AM -- 12:00 PM
Department of Computational and Data Sciences
SPEAKER : Dr. Ramakanth Kavuluru (University of Kentucky)”
TITLE :“A Smorgasbord of Biomedical Data Science Applications”
Date/Time : March 25, 2019 (Monday) 11:00 AM
Venue : 102 CDS Seminar Hall.
Rapidly increasing digitization of information in life sciences has accelerated the adoption of data science in biomedical research, healthcare services, and public health initiatives. Along with structured data arising from electronic medical records (EMRs) and clinical trials, unstructured textual data is growing exponentially in the form of scientific literature (from researchers), clinical notes (from doctors), and social media posts (from patients). In this talk, I will present a series of applications and associated methods to manage and exploit the data generated through biomedical research, healthcare operations, and patient experiences. Using methods in machine learning (incl. deep learning), natural language processing, and data mining, I will discuss new affordances data science has created for knowledge discovery, drug repositioning, EMR coding, public health surveillance, and predictive modeling for chronic conditions. Culling examples from my research agenda, I hope to convince the audience to explore consequential interdisciplinary data science projects in their own communities for patient populations and healthcare problems of the Indian subcontinent.
Dr. Ramakanth Kavuluru is an associate professor in the Division of Biomedical Informatics (Internal Medicine) at the University of Kentucky (UKY). He primarily works in natural language processing for biomedicine involving textual data from scientific literature, clinical narratives, and social media posts with the broad goal of extracting actionable information from these unstructured sources. Before his time as faculty at UKY, he was a postdoctoral scientist at Wright State University. His doctoral degree is in analysis of security measures for pseudorandom sequences used in stream ciphers, which he pursued also at UKY.
Host Faculty: Prof. Partha Pratim Talukdar