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From data collection to knowledge data discovery: a medical application of data mining.
A Duhamel1, M Picavet, P Devos
1CERIM, Faculté de Médecine, 59045 Lille Cedex, France. alain.duhamel@univ-lille2.fr
Studies in Health Technology and Informatics
|October 18, 2001
Summary
The RAPPEL project developed an information system to assess prison inmate health and social status. This system was expanded to a regional network, using data mining to improve inmate care and reduce recidivism.
Area of Science:
- Public Health
- Criminology
- Health Informatics
Background:
- Prison populations have significantly increased globally, leading to greater exposure to health risks like psychiatric disorders and substance abuse.
- Limited data exists on the health and social status of inmates, hindering effective policy development.
- There is a growing need for policies focused on recidivism prevention, release planning, and community-based services for former inmates.
Purpose of the Study:
- To establish an information system for assessing the social and health status of prison inmates.
- To extend the RAPPEL project from a pilot phase to a regional network encompassing 11 correctional facilities.
- To leverage data mining techniques for extracting valuable insights from inmate data.
Main Methods:
- Development of the RAPPEL (Réseau d'Aide à la Personne et à la Réinsertion par l'Emploi et le Logement) information system.
- Pilot data collection and analysis of approximately 15,000 inmate records at the Loos prison.
- Implementation of a regional network connecting 11 jails, utilizing locally available information.
- Experimentation with data mining tools: association rules, classification trees, and clustering.
- Planning for a distributed approach with WEB-based access to the information system.
Main Results:
- Successful pilot implementation of the RAPPEL information system at the Loos prison.
- Establishment of a regional network of 11 jails to share and analyze inmate data.
- Demonstrated potential of data mining techniques to extract new information from inmate records.
- Foundation laid for a distributed information system accessible via the web.
Conclusions:
- The RAPPEL project provides a scalable information system to address the health and social needs of prison inmates.
- Data mining enhances the utility of inmate data for informed decision-making and targeted interventions.
- The regional network and planned distributed system aim to improve inmate reintegration and reduce recidivism.