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Personality traits and drug consumption = a story told by data /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Personality traits and drug consumption/ by Elaine Fehrman ... [et al.].
其他題名:	a story told by data /
其他作者:	Fehrman, Elaine.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	vi, 168 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Drug abuse - Psychological aspects. -
電子資源:	https://doi.org/10.1007/978-3-030-10442-9
ISBN:	9783030104429

Personality traits and drug consumption = a story told by data /
Personality traits and drug consumptiona story told by data /[electronic resource] :by Elaine Fehrman ... [et al.]. - Cham :Springer International Publishing :2019. - vi, 168 p. :ill., digital ;24 cm.

1 Introduction: drug use and personality profiles -- 2 Methods of Data Analysis -- 3 Results of data analysis -- Summary -- Discussion -- Main Tables.

This book discusses the psychological traits associated with drug consumption through the statistical analysis of a new database with information on 1885 respondents and use of 18 drugs. After reviewing published works on the psychological profiles of drug users and describing the data mining and machine learning methods used, it demonstrates that the personality traits (five factor model, impulsivity, and sensation seeking) together with simple demographic data make it possible to predict the risk of consumption of individual drugs with a sensitivity and specificity above 70% for most drugs. It also analyzes the correlations of use of different substances and describes the groups of drugs with correlated use, identifying significant differences in personality profiles for users of different drugs. The book is intended for advanced undergraduates and first-year PhD students, as well as researchers and practitioners. Although no previous knowledge of machine learning, advanced data mining concepts or modern psychology of personality is assumed, familiarity with basic statistics and some experience in the use of probabilities would be helpful. For a more detailed introduction to statistical methods, the book provides recommendations for undergraduate textbooks.

ISBN: 9783030104429

Standard No.: 10.1007/978-3-030-10442-9doiSubjects--Topical Terms:

785523
Drug abuse
--Psychological aspects.

LC Class. No.: RC564

Dewey Class. No.: 362.29

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520 $a This book discusses the psychological traits associated with drug consumption through the statistical analysis of a new database with information on 1885 respondents and use of 18 drugs. After reviewing published works on the psychological profiles of drug users and describing the data mining and machine learning methods used, it demonstrates that the personality traits (five factor model, impulsivity, and sensation seeking) together with simple demographic data make it possible to predict the risk of consumption of individual drugs with a sensitivity and specificity above 70% for most drugs. It also analyzes the correlations of use of different substances and describes the groups of drugs with correlated use, identifying significant differences in personality profiles for users of different drugs. The book is intended for advanced undergraduates and first-year PhD students, as well as researchers and practitioners. Although no previous knowledge of machine learning, advanced data mining concepts or modern psychology of personality is assumed, familiarity with basic statistics and some experience in the use of probabilities would be helpful. For a more detailed introduction to statistical methods, the book provides recommendations for undergraduate textbooks.
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