Use of a constraint satisfaction network model for the evaluation of the methadone treatments of drug addicts.
Constraint Satisfaction Networks were used by Semeion, a Research Center of Science of Communication, in order to analyze drug-addict patient data files, provided by the Jerusalem Methadone Treatment Center. The short and partial analysis carried out in this article is presented to show how this high technology can be a support for treatment staff in order to improve the quality and the timeliness of the necessary intervention with patients. One of the problems for which the networks could offer support is, for example, the individuation or "matching" of the most suitable therapy for the patient during the treatment planning phase. In this field the networks need to analyze data files of patients in therapy at different centers, with the results collected after many years of observation. What follows, obviously, only has demonstrative values.
Massini
G
G
Semeion Research Center, Rome, Italy.
Shabtay
L
L
D000328:Adult; D000701:Analgesics, Opioid / Q000627:therapeutic use*; D001185:Artificial Intelligence; D005260:Female; D006801:Humans; D008297:Male; D008491:Medical Informatics Applications; D008691:Methadone / Q000627:therapeutic use*; D008875:Middle Aged; D008954:Models, Biological; D016571:Neural Networks, Computer; D017060:Patient Satisfaction; D012944:Social Support; D019966:Substance-Related Disorders / Q000534:rehabilitation*; D011795:Surveys and Questionnaires
D000701:Analgesics, Opioid; D008691:Methadone