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From Population Health to Precision Medicine: Advancing the Healthcare Continuum Through Big Data and Machine Learning

A guest seminar by Dr. Conrad Tucker (Asst. Prof. at Penn State)

Friday, June 9, 2017 10:00 AM - 11:00 AM

Abstract:

This research explores how digital health data is collected and mined, in order to facilitate the early detection, as well as long-term management of patients’ health-related abnormalities. By developing machine learning methods to capture patient data, researchers aim to remotely (e.g., a patient’s home) model and predict the emergence (or lack therefore) of deviations from a patients’ wellness state and provide intervention solutions designed to attenuate patient health issues.

Healthcare data demonstrates characteristics of the 5Vs of Big Data, with velocity being the speed at which data is captured, volume being the size of the data, variety being the types of data acquired (e.g. textual data, medical image data, genomic data, etc.), veracity being the accuracy of the resulting predictive models and value being the tangible benefits of these models to both patients and health care decision makers. This research advances the potential reach of sensor technologies ¬into new areas of inquiry. It will provide a scalable platform for integrating those technologies into  healthcare in an effort to provide customized patient diagnosis and treatment solutions. 

 

Biosketch:

Conrad Tucker is an Assistant Professor of Engineering Design and Industrial and Manufacturing Engineering at Penn State University. He is also Affiliate Faculty of Computer Science and Engineering and directs the Design Analysis Technology Advancement (D.A.T.A) Laboratory. His research focuses on the design and optimization of complex systems and intelligent assistive technologies through the acquisition, integration and mining of large scale, disparate data. The principles of engineering design and data mining have been demonstrated by his research and teaching contributions in the NSF Center for Health Organization Transformation (CHOT), an NSF I/UCRC: Industry/University Cooperative Research Center at Penn State. During the 2014, 2015 and 2016 academic years, he served as the Co-PI of the Phase 1 NSF CHOT grant. He is currently serving as the PI and Site Director for the funded Phase 2 NSF CHOT grant from Spring 2017-Spring 2020. In February 2016, he was invited by National Academy of Engineering (NAE) President Dr. Dan Mote, to serve as a member of the Advisory Committee for the NAE’s Frontiers of Engineering Education. He received his Ph.D., M.S. (Industrial Engineering), and MBA degrees from the University of Illinois at Urbana-Champaign, and his B.S. in Mechanical Engineering from Rose-Hulman Institute of Technology.



Rogers Hall (campus map)
226
Cheryl Pawlik
541-737-3764
info-mime at oregonstate.edu
Sch of Mech/Ind/Mfg Engr