Advanced decision support for complex clinical decisions

Abstract

A Physician’s decision-making skills are directly re- lated to the patient’s positive outcomes. Therefore, a wealth of medical knowledge and clinical experience are key assets for a physician to have. The goal here is to use historical clinical data and relationships processed by Artificial Intelligence (AI) techniques to aid physicians in their decision making process. Pre- senting this information in a Clinical Decision Sup- port System (CDSS) is an effective means to consoli- date decision results. The CDSS provides a large number of medical support functions to help clini- cians make the most reasonable diagnosis and choose the best treatment measures. Initial results have shown great promise in accurately predicting Fibro- sis Stage in Hepatitis patients. Utilizing this tool could mitigate the need for some liver biopsies in the more than 170 million Hepatitis patients worldwide. The prototype is extendable to accommodate additional techniques (for example genetic algorithms and logis- tics regression) and additional medical domain solu- tions (for example HIV/AIDS). Keywords: