scholarly journals Cluster Analysis to Detect Patterns of Drug Use from Routinely Collected Medical Data

Author(s):  
Sara Khalid ◽  
M. Sanni Ali ◽  
Daniel Prieto-Alhambra
2020 ◽  
Vol 237 (11) ◽  
pp. 3369-3381
Author(s):  
Leigh V. Panlilio ◽  
Samuel W. Stull ◽  
Jeremiah W. Bertz ◽  
Albert J. Burgess-Hull ◽  
William J. Kowalczyk ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Adeline Riondel ◽  
Duong Thi Huong ◽  
Laurent Michel ◽  
Marianne Peries ◽  
Khuat Thi Hai Oanh ◽  
...  

People who inject drugs (PWID) are a dominant risk group afflicted by blood-borne viruses, mental health disorders, and social precariousness. Risk reduction interventions are administered to PWID regardless of their characteristics or specific risks. The objective of this cross-sectional analysis was to empirically identify profiles of PWID regarding their drug use, risk behaviors, and mental health in order to tailor adapted interventions taking into account limited access to comprehensive care in middle-income countries. PWID were recruited using respondent-driven sampling. PWID with urine testing positive for heroin or methamphetamine and manifesting recent skin injection marks were enrolled. Classification of participants was based on drug use, injection, risky sexual behavior, and mental health data. This was subjected to multiple correspondence analysis followed by hierarchical cluster analysis combined with K-means methodology. From October 2016 to January 2017, 1490 participants were recruited of which 1383 were eligible and enrolled. HCV prevalence was 70.5% and HIV prevalence 29.4%. The cluster analysis identified five distinct profiles: profile 1: recent injection practices and high alcohol consumption, profile 2: at-risk injection and sexual behaviors with precarious situations, profile 3: no sexual activity and older age, profile 4: frequent injections with high methamphetamine use, and profile 5: stable partnerships and less frequent injections. Our study has identified profiles of PWID at particularly high risks, and they should thus be targeted for interventions tailored to their specific risks.


2013 ◽  
Vol 199 ◽  
pp. 223-228
Author(s):  
Marta Kolasa ◽  
Rafał Długosz ◽  
Wojciech Jóźwicki ◽  
Jolanta Pauk ◽  
Aleksandra Świetlicka ◽  
...  

This study presents a new approach to determine significant prognostic factors for patients suffering from the bladder cancer. The analysis of medical data has been performed by the use of the Kohonen self-organizing map (SOM). The SOM allows visualizing and identifying the prognostic factors indicating which of them are significant. A database comprised of ninety patients has been used in this study. Seven predictors were investigated. The cluster analysis indicates that the significant prognostic factors for the bladder cancer are: histological grade (cG) and stage (cT). The obtained results also showed that the sex and the cG variables are highly correlated and that the number of non-classic differentiation (NDNc) features in bladder cancer is somewhat correlated to surgically removed lymphnode number (LN) and metastatic positive lymphnode number (PLN).


1986 ◽  
Vol 16 (3) ◽  
pp. 435-442 ◽  
Author(s):  
John W. Shaffer ◽  
David N. Nurco ◽  
John C. Ball ◽  
Timothy W. Kinlock

In the course of lengthy, confidential interviews conducted with 354 male narcotic addicts (195 Black, 159 White) living in the Baltimore metropolitan area, detailed information was obtained concerning their use of non-narcotic drugs during periods of active addiction to narcotics (principally heroin) as well as during periods of non-addiction to narcotics. A wide variety of non-narcotic substances were found to have a nonzero incidence of use; however, both the types and amounts of non-narcotic drugs used, as well as the combinations (patterns) in which they were used, were found to be a joint function of race (Black/White) and narcotic addiction status (actively addicted/not addicted to narcotics). Factor analysis revealed three major patterns among Blacks during periods of active narcotic addiction, and a different three patterns during periods of nonaddiction. Among Whites, four major patterns were identified during periods of active narcotic addiction, and five during periods of nonaddiction. Subsequent applications of cluster analysis revealed several different types of addicts based on patterns of non-narcotic drug use.


2004 ◽  
Vol 21 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Patrick Peretti-Watel ◽  
Valérie Guagliardo ◽  
Pierre Verger ◽  
Patrick Mignon ◽  
Jacques Pruvost ◽  
...  

This study examined attitudes toward doping among 458 French elite student-athletes (ESAs) ages 16–24, their correlates, and their relationship with cigarette, alcohol, and cannabis use. We found a consensus among ESAs concerning negative aspects of doping. A cluster analysis showed, however, that statements dealing with benefits of doping were endorsed by two significant minorities of respondents. These ESAs were more frequently older males with a lower parental academic achievement and no sporting history in their family. Recreational drug use depended on whether or not ESAs endorsed statements related to nonsporting benefits of doping. Using an analytical framework from the sociology of deviance, our findings suggest that athletes who dope themselves pursue legitimate goals with illegitimate means but justify their behavior with a legitimate rationale. Further research is needed on the nonrecreational use of recreational drugs.


2019 ◽  
Author(s):  
Roel Achterbergh ◽  
Henry De Vries ◽  
Anders Boyd ◽  
Udi Davidovich ◽  
Susanne Druckler ◽  
...  

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