Data Science Seminar (D2S2) Series

Webinar Art D2S2 is a monthly webinar series that shares data-driven research in healthcare. Through the monthly research webinar, D2S2 aims to provide a forum where nursing researchers and data scientists discuss their latest research developments and find multidisciplinary collaboration opportunities. The D2S2 series is hosted by the Center for Nursing Research of Duke University School of Nursing. For more information, contact Hyeoneui Kim.

Webex Meeting Information

http://bit.ly/DUSOND2S2
Meeting number (access code): 856 862 768
Meeting password: d2s2

2019-2020 Webinar Series

The Webinar Series occurs the third Thursday of every month from 3 to 4 p.m. (Eastern time).

Date	Speaker & Affiliation	Topic/Title
Oct. 17	Alvin Jeffery, PhD, RN Assistant Professor School of Nursing Vanderbilt University	Challenges in Data Science
Nov. 21	Albert Park, PhD Assistant Professor UNC Charlotte College of Computing and Informatics	Data Analytics for Health: Large Social Media Data
Jan. 16	Benjamin Alan Goldstein, PhD Associate Professor Biostatistics and Bioinformatics Duke University	Predicting Mortality with EHR Data
Feb. 20	Nansu Zong, PhD Research Associate Department of Health Sciences and Research Mayo Clinic Email: zong.nansu@mayo.edu	Deep Mining Heterogeneous Networks of Biomedical Linked Data to Predict Novel Drug-Target Associations Additional Resources: - Prediction Basedon Biolinkednetwork Mining - Drug Target Prediction Demo
Mar. 19	Jae-Yung Kwon, PhD(C), MSN, RN School of Nursing University of British Columbia	Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance Additional Resource: - Article
Apr. 16	Tsung-Ting Kuo, PhD Assistant Professor Department of Biomedical Informatics UC San Diego	Blockchain Distributed Ledger Technologies for Biomedical and Health Care Applications
May 21	Jeeyae Choi, PhD, MSN, RN Associate Professor School of Nursing UNC Wilmington	Applying Machine Learning Techniques to Build Self-Reported Depression Prediction Models
Jun.18	Rose Mary Xavier, PhD, MS, RN Assistant Professor School of Nursing UNC Chapel Hill	Multilayer Network Analysis
Jul. 16	Danielle Mowery, PhD, MS Chief Research Information Officer Institute for Biomedical Informatics Perelman School of Medicine University of Pennsylvania	Extracting Useful Information from Clinical Notes Using Natural Language Processing (NLP)