Purdue University Purdue e-Pubs Open Access Dissertations Theses and Dissertations 8-2016 Data mining Twitter for cancer, diabetes, and asthma insights Kimberly Chulis Purdue University Follow this and additional works at: https://docs.lib.purdue.edu/open_access_dissertations Part of the Communication Commons, and the Health and Medical Administration Commons Recommended Citation Chulis, Kimberly, "Data mining Twitter for cancer, diabetes, and asthma insights" (2016). Open Access Dissertations. 745. https://docs.lib.purdue.edu/open_access_dissertations/745 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact
[email protected] for additional information. Graduate School Form 30 Updated PURDUE UNIVERSITY GRADUATE SCHOOL Thesis/Dissertation Acceptance This is to certify that the thesis/dissertation prepared By KIMBERLY CHULIS Entitled DATA MINING TWITTER FOR CANCER, DIABETES, AND ASTHMA INSIGHTS For the degree of Doctor of Philosophy Is approved by the final examining committee: RICHARD A. FEINBERG Chair CHRISTOPHER J. KOWAL CORINNE A. NOVELL TONGXIAO (CATHERINE) ZHANG To the best of my knowledge and as understood by the student in the Thesis/Dissertation Agreement, Publication Delay, and Certification Disclaimer (Graduate School Form 32), this thesis/dissertation adheres to the provisions of Purdue University’s “Policy of Integrity in Research” and the use of copyright material. Approved by Major Professor(s): RICHARD FEINBERG Approved by: RICHARD FEINBERG 7/22/2016 Head of the Departmental Graduate Program Date DATA MINING TWITTER FOR CANCER, DIABETES, AND ASTHMA INSIGHTS A Dissertation Submitted to the Faculty of Purdue University by Kimberly Chulis In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 2016 Purdue University West Lafayette, Indiana ii For my Mom and Dad.