Mental Health disorders such as schizophrenia, depression, and
dementia have a great impact on society worldwide. Recent developments have
witnessed numerous advances in telemedicine that allow remote monitoring of
elderly people with diseases of this pathology. One of key factors influencing
recent advances in health information systems is the use of data extraction
robust techniques used to extract knowledge from medical databases. The main
objective of the paper is to develop a web application that allows extracting
knowledge from a database of patients with psychiatric disorders and helps
health personnel to know in depth the existing patient profiles and thus improve
decision making. The scenario chosen for this study consists in a government of
Castile and Leon database of 53641 income records of patients with Mental
Health disorders between 2005 and 2015. Applying descriptive statistics for the
analysis of data, the results show different parameters regarding Hospitalization
behavior such as rate, average, hospitalization days of the patient’s number per
hospital and outsourcing services.
