abstract

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Data Driven Support for Substance Addiction Recovery Communities

Author:

Benjamin FischmanAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: SRC07, Pages 1 - 6

https://doi.org/10.1145/3170427.3180288

Published: 20 April 2018 Publication History

Abstract

This project aims to assist those suffering from substance addiction so that they might better understand their mental health. I propose a user level in-app relapse report classifier that has an overall accuracy of 0.882 in a dataset where 18% of users report a substance relapse. Interactions between engagement and views of inspirational messages of the day are complex, yet significant. Predictive analytics inspire design implications for sociotechnical systems, which aim to facilitate the addiction recovery process.

References

[1]

National Institute on Drug Abuse. 2017. Trends & Statistics. Retrieved December 18, 2017 from https://www.drugabuse.gov/related-topics/trendsstatistics

[2]

Leo Breiman. 1984. Classification and regression trees. Belmont, Calif.: Wadsworth International Group.

[3]

Leo Breiman. 2001. Random forests. Machine learning 45, 1: 5--32.

Digital Library

[4]

Juan M. García-Gómez, Isabel de la Torre-Díez, Javier Vicente, Montserrat Robles, Miguel LópezCoronado, and Joel J. Rodrigues. 2014. Analysis of mobile health applications for a broad spectrum of consumers: a user experience approach. Health informatics journal 20, 1: 74--84.

[5]

Frank E. Harrell Jr. and Maintainer Frank E. Harrell Jr. 2017. Package --Hmisc.'

[6]

Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2013. An Introduction to Statistical Learning. Springer New York, New York, NY.

Digital Library

[7]

Stephenie C. Lemon, Jason Roy, Melissa A. Clark, Peter D. Friedmann, and William Rakowski. 2003. Classification and regression tree analysis in public health: methodological review and comparison with logistic regression. Annals of behavioral medicine 26, 3: 172--181.

[8]

Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stagebased model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 557--566.

Digital Library

[9]

Andy Liaw and Matthew Wiener. 2002. Classification and regression by randomForest. R news 2, 3: 18--22.

[10]

Diana MacLean, Sonal Gupta, Anna Lembke, Christopher Manning, and Jeffrey Heer. 2015. Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery. 1511--1526.

Digital Library

[11]

Megan Monroe, Rongjian Lan, Hanseung Lee, Catherine Plaisant, and Ben Shneiderman. 2013. Temporal event sequence simplification. IEEE transactions on visualization and computer graphics 19, 12: 2227--2236.

Digital Library

[12]

Preethi R Sama, Zubin J Eapen, Kevin P Weinfurt, Bimal R Shah, and Kevin A Schulman. 2014. An Evaluation of Mobile Health Application Tools. JMIR mHealth and uHealth 2, 2.

[13]

Katrina J. Serrano, Kisha I. Coa, Mandi Yu, Dana L. Wolff-Hughes, and Audie A. Atienza. 2017. Characterizing user engagement with health app data: a data mining approach. Translational Behavioral Medicine 7, 2: 277--285.

[14]

Terry Therneau, Beth Atkinson, Brian Ripley, and Maintainer Brian Ripley. 2017. Package 'rpart.'

[15]

Svetlana Yarosh. 2013. Shifting dynamics or breaking sacred traditions?: the role of technology in twelve-step fellowships. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 3413--3422.

Digital Library

[16]

Chuang-Wen You, Ya-Fang Lin, Cheng-Yuan Li, YuLun Tsai, Ming-Chyi Huang, Chao-Hui Lee, HaoChuan Wang, and Hao-Hua Chu. 2016. KeDiary: Using Mobile Phones to Assist Patients in Recovering from Drug Addiction. 5704--5709.

Digital Library

[17]

Mobile More Field Guide to Life App -- Hazelden. https://www.hazelden.org/web/go/fieldguide

Cited By

Chi YChen H(2023)Investigating Substance Use via Reddit: A Systematic Scoping Review (Preprint)Journal of Medical Internet Research10.2196/48905Online publication date: 11-May-2023
https://doi.org/10.2196/48905
Lu JSridhar SPandey RHasan MMohler GTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)Investigate Transitions into Drug Addiction through Text Mining of Reddit DataProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330737(2367-2375)Online publication date: 25-Jul-2019
https://dl.acm.org/doi/10.1145/3292500.3330737
(2018)Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622552(2521-2530)Online publication date: Dec-2018
https://doi.org/10.1109/BigData.2018.8622552

Index Terms

Data Driven Support for Substance Addiction Recovery Communities
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2018

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Abstract

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NSF

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CHI '18

Sponsor:

SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

Acceptance Rates

CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI '25

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sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Citations

Cited By

Chi YChen H(2023)Investigating Substance Use via Reddit: A Systematic Scoping Review (Preprint)Journal of Medical Internet Research10.2196/48905Online publication date: 11-May-2023
https://doi.org/10.2196/48905
Lu JSridhar SPandey RHasan MMohler GTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)Investigate Transitions into Drug Addiction through Text Mining of Reddit DataProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330737(2367-2375)Online publication date: 25-Jul-2019
https://dl.acm.org/doi/10.1145/3292500.3330737
(2018)Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622552(2521-2530)Online publication date: Dec-2018
https://doi.org/10.1109/BigData.2018.8622552

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