{"title":"Squashing Theory: A Prediction Approach for Drug Behavior","authors":"M. Buscema","doi":"10.1300/J023V08N03_08","DOIUrl":null,"url":null,"abstract":"SUMMARY This paper describes a prediction approach called Squashing Theory. Squashing Theory, as used in this example to predict drug behavior, incorporates biological, psychological and sociological measures. The Artificial Feed Forward Neural Network -a recently developed computer architecture inspired by the brain's structure (Dayhoff, 1990)-is the framework for Squashing Theory. The Network was computer programmed by the Semeion Research Center in Rome, Italy. The model was able to predict drug behavior at the 92% level on prototypical cases and at the 80% level on uncertain cases based on self reported drug use from two norming samples on the prediction sample.","PeriodicalId":366329,"journal":{"name":"Drugs in society","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drugs in society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1300/J023V08N03_08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
SUMMARY This paper describes a prediction approach called Squashing Theory. Squashing Theory, as used in this example to predict drug behavior, incorporates biological, psychological and sociological measures. The Artificial Feed Forward Neural Network -a recently developed computer architecture inspired by the brain's structure (Dayhoff, 1990)-is the framework for Squashing Theory. The Network was computer programmed by the Semeion Research Center in Rome, Italy. The model was able to predict drug behavior at the 92% level on prototypical cases and at the 80% level on uncertain cases based on self reported drug use from two norming samples on the prediction sample.