Date of Award
2015
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Agarwal, Ankur
Abstract
Chronic Diseases are the major cause of mortality around the world, accounting for 7 out of 10 deaths each year in the United States. Because of its adverse effect on the quality of life, it has become a major problem globally. Health care costs involved in managing these diseases are also very high. In this thesis, we will focus on two major chronic diseases Asthma and Diabetes, which are among the leading causes of mortality around the globe. It involves design and development of a predictive analytics based decision support system which uses five supervised machine learning algorithm to predict the occurrence of Asthma and Diabetes. This system helps in controlling the disease well in advance by selecting its best indicators and providing necessary feedback.
Extent
89 p.
Recommended Citation
Jain, Ritesh, "Predictive modeling for chronic conditions" (2015). Electronic Theses and Dissertations 2010 - 2019. 1282.
https://digitalcommons.fau.edu/etd_general_6/1282
Identifier
FA00004382
Comments
Includes bibliography.|Thesis (M.S.)--Florida Atlantic University, 2015.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.