Predictive Analytics Use for Preventing Adolescent Substance Abuse and Nursing Implications: A Systematic Literature Review

2.50
Hdl Handle:
http://hdl.handle.net/10755/623025
Category:
Full-text
Format:
Text-based Document
Type:
Poster
Level of Evidence:
N/A
Research Approach:
N/A
Title:
Predictive Analytics Use for Preventing Adolescent Substance Abuse and Nursing Implications: A Systematic Literature Review
Author(s):
Lee, Mikyoung; Murphy, Dawn; Simon, Anila; Gillson, Suzanne M.; Castillo, Leolin
Lead Author STTI Affiliation:
Beta Beta (Dallas)
Author Details:
Mikyoung Lee, PhD; Dawn Murphy, MS; Anila Simon, MSN; Leolin Castillo, PMHNP -- College of Nursing, Texas Woman's University, Denton, TX, USA; Suzanne M. Gillson, MSN, Houston Baptist University, Houston, TX, USA
Abstract:

A systematic literature review was conducted to identify what predictive analytics have been used and what predictors have been proven for predicting the substance abuse in adolescents, and to discuss what strategies and how nurses should develop for preventing substance abuse in the adolescent population, utilizing predictive analytics.

Keywords:
Adolescent; Predictive Analytics; Substance Abuse
Repository Posting Date:
5-Oct-2017
Date of Publication:
5-Oct-2017
Other Identifiers:
CONV17PST430
Conference Date:
2017
Conference Name:
44th Biennial Convention
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Indianapolis, Indiana, USA
Description:
44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.
Note:
Items submitted to a conference/event were evaluated/peer-reviewed at the time of abstract submission to the event. No other peer-review was provided prior to submission to the Henderson Repository, unless otherwise noted.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.type.categoryFull-texten
dc.formatText-based Documenten
dc.typePosteren
dc.evidence.levelN/Aen
dc.research.approachN/Aen
dc.titlePredictive Analytics Use for Preventing Adolescent Substance Abuse and Nursing Implications: A Systematic Literature Reviewen_US
dc.contributor.authorLee, Mikyoungen
dc.contributor.authorMurphy, Dawnen
dc.contributor.authorSimon, Anilaen
dc.contributor.authorGillson, Suzanne M.en
dc.contributor.authorCastillo, Leolinen
dc.contributor.departmentBeta Beta (Dallas)en
dc.author.detailsMikyoung Lee, PhD; Dawn Murphy, MS; Anila Simon, MSN; Leolin Castillo, PMHNP -- College of Nursing, Texas Woman's University, Denton, TX, USA; Suzanne M. Gillson, MSN, Houston Baptist University, Houston, TX, USAen
dc.identifier.urihttp://hdl.handle.net/10755/623025-
dc.description.abstract<p><span>A systematic literature review was conducted to identify what predictive analytics have been used and what predictors have been proven for predicting the substance abuse in adolescents, and to discuss what strategies and how nurses should develop for preventing substance abuse in the adolescent population, utilizing predictive analytics.</span></p>en
dc.subjectAdolescenten
dc.subjectPredictive Analyticsen
dc.subjectSubstance Abuseen
dc.date.available2017-10-05T20:39:56Z-
dc.date.issued2017-10-05-
dc.date.accessioned2017-10-05T20:39:56Z-
dc.conference.date2017en
dc.conference.name44th Biennial Conventionen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationIndianapolis, Indiana, USAen
dc.description44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.en
dc.description.noteItems submitted to a conference/event were evaluated/peer-reviewed at the time of abstract submission to the event. No other peer-review was provided prior to submission to the Henderson Repository, unless otherwise noted.-
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