Precious metals like diamond and gold are in high demand due to their monetary rewards.
Therefore, various techniques are generally employed to forecast prices of diamonds and …

Longstanding diabetes mellitus is today known as the primary reason for kidney failure in
the patients having that condition. While the prior research has studied the confounding role …

We report initial experiments for analyzing social media through an NLP annotation tool on
web posts about medications of current interests (baclofen, levothyroxine and vaccines) and …

Background: Drug repurposing has grown significantly in recent years. Research and
innovation in drug repurposing are extremely popular due to its practical and explicit …

A common problem in many application domains such as drug repurposing, ie identifying
new indications for known drugs, is class imbalance. There are some approaches to dealing …

Machine learning is the study of algorithms that a system uses to effectively perform a
specific task. It depends on the patterns and inference instead of any instructions. In …

This dissertation includes three studies, all focusing on utilizing Big Data and statistical
methods for improving one of the most important aspects of health care, namely drug safety …

This work focuses on the automatic extraction of Adverse Drug Reactions (ADRs) in
Electronic HealthRecords (EHRs). That is, extracting a response to a medicine which is …