Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS s...
In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzing medical texts and, in particular, Clinical Practice Guidelines (CPGs).We p...
Data mining techniques gained acceptance as a clear means of finding information in data. In the past, these techniques have been effectively applied to discover patterns, find correlations, extract information from unstructured data. Often overlo...
Computer science, Computer engineering, Information technology
Description
To improve the quality and consistency of health care, evidence-based medicine (EBM) was proposed to promote the wide adoption of current best evidence to make decisions about care of individual patients. The practice of EBM in Radiation Oncology ...
Our world has been experiencing a dramatic and continually increasing growth of digital textual information. This phenomenon raises challenges in analyzing, understanding, organizing, and summarizing these large bodies of textual information. A la...
Topological Data Analysis denotes the set of algorithms and methods to define and retrieve the underlying structure of the shapes in the data. Utilizing topological inference in data mining and generally data science is recent, while computational...
The coronavirus pandemic is a pervasive event that has had a drastic impact on countries globally. In the United States alone there have been over 98 million Covid-19 cases and over 1 million deaths. One consequence of Covid-19 infection has been ...
