Results of Data Analysis

Elaine Fehrman (), Vincent Egan (), Alexander N. Gorban (), Jeremy Levesley (), Evgeny M. Mirkes () and Awaz K. Muhammad ()
Additional contact information
Elaine Fehrman: Rampton Hospital, Men’s Personality Disorder and National Women’s Directorate
Vincent Egan: University of Nottingham, Department of Psychiatry and Applied Psychology
Alexander N. Gorban: University of Leicester, Department of Mathematics
Jeremy Levesley: University of Leicester, Department of Mathematics
Evgeny M. Mirkes: University of Leicester, Department of Mathematics
Awaz K. Muhammad: University of Leicester, Department of Mathematics

Chapter Chapter 4 in Personality Traits and Drug Consumption, 2019, pp 61-120 from Springer

Abstract: Abstract This chapter includes results of data analysis. The relationship between personality profiles and drug consumption is described and the individual drug consumption risks for different drugs is evaluated. Significant differences between groups of drug users and non-users are identified. Machine learning algorithms solve the user/non-user classification problem for many drugs with impressive sensitivity and specificity. Analysis of correlations between use of different drugs reveals existence of clusters of substances with highly correlated use, which we term correlation pleiades. It is proven that the mean profiles of users of different drugs are significantly different (for benzodiazepines, ecstasy, and heroin). Visualisation of risk by risk maps is presented. The difference between users of different drugs is analysed and three distinct types of users are identified for benzodiazepines, ecstasy, and heroin.

Keywords: Risk analysis; Psychological profiles; Discriminant analysis; Correlation pleiades; Drug clustering (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-10442-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030104429

DOI: 10.1007/978-3-030-10442-9_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().