Measuring The Harms Caused by Illicit Drugs. A New Methodology for Estimating Drug Harm Index.

Substance use carries a wide range of negative consequences, impacting both the individual using the substances and others. In recent years, there have been multiple efforts to assess the harm caused by drugs and to rank them, with each taking a distinctive approach to the matter. This study seeks to introduce a new model for assessing the harm index and ranking of drugs.

The prediction of mortality influential variables in an intensive care unit: a case study.

The intensive care units (ICUs) are among the most expensive and essential parts of all hospitals for extremely ill patients. This study aims to predict mortality and explore the crucial factors affecting it. Generally, in the health care systems, having a fast and precise ICU mortality prediction for patients plays a key role in care quality, resulting in reduced costs and improved survival chances of the patients.

Modeling patient's value using a stochastic approach: An empirical study in the medical industry.

Background And Objective: The rapid growth of computer methods encourages and creates competitive advantages in the medical industry. Nowadays many health centers try to build successful and beneficial relationships with their patients using customer relationship management (CRM) methods, to recognize target patients, attract potential patients, increase patient loyalty and maximize profitability. Customer lifetime value (CLV) is a metric that can help organizations to calculate their customers' value or group them; therefore in this research we aim to develop a new CLV model for the medical industry that groups patients using computer-based methods.