Journal of Technology in Human Services, Volume 36, Issue 1 (2018)

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Journal of Technology in Human Services, Volume 36, Issue 1 (2018)

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Original Articles

Article
With Great Data Comes Great Responsibility: How Data Science Can Be Applied to Solve Public Interest Problems Without Losing Its Soul
Gideon Mann & Arnaud Sahuguet
Pages: 1-7
Published online: 24 Jan 2018
AbstractforWith Great Data Comes Great Responsibility: How Data Science Can Be Applied to Solve Public Interest Problems Without Losing Its Soul | Full Text | PDF (254.7 KB)
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Article
Machine Learning for Drug Overdose Surveillance
Daniel B. Neill & William Herlands
Pages: 8-14
Published online: 15 Jan 2018
AbstractforMachine Learning for Drug Overdose Surveillance | Full Text | References | PDF (584.4 KB)
  • 454 Views
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Article
Themis-ml: A Fairness-Aware Machine Learning Interface for End-To-End Discrimination Discovery and Mitigation
Niels Bantilan
Pages: 15-30
Published online: 15 Jan 2018
AbstractforThemis-ml: A Fairness-Aware Machine Learning Interface for End-To-End Discrimination Discovery and Mitigation | Full Text | References | PDF (944.3 KB)
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Article
Can Machine Learning Create an Advocate for Foster Youth?
Meredith Brindley, James P. Heyes & Darrell Booker
Pages: 31-36
Published online: 15 Jan 2018
AbstractforCan Machine Learning Create an Advocate for Foster Youth? | Full Text | References | PDF (576.8 KB)
  • 343 Views
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Article
Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program
Dorris Scott, Jihwan Oh, Miriam Chappelka, Mizzani Walker-Holmes & Carl DiSalvo
Pages: 37-47
Published online: 15 Jan 2018
AbstractforFood for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program | Full Text | References | PDF (1 MB)
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Article
Hiding in Plain Sight: Insights about Health-Care Trends Gained through Open Health Data
A. Ravishankar Rao & Daniel Clarke
Pages: 48-55
Published online: 19 Jan 2018
AbstractforHiding in Plain Sight: Insights about Health-Care Trends Gained through Open Health Data | Full Text | References | PDF (626.9 KB)
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Article
Measuring the Unmeasurable—A Study of Domestic Violence Risk Prediction and Management
T. C. Hsieh, Yu-Hsiu Wang, Yi-Shan Hsieh, Jing-Tai Ke, Chai-Kai Liu & Sue-Chuan Chen
Pages: 56-68
Published online: 24 Jan 2018
AbstractforMeasuring the Unmeasurable—A Study of Domestic Violence Risk Prediction and Management | Full Text | References | PDF (686 KB)
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Article
Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health—Developing a New Interactive Relational Mapping Tool (Demo)
Barbara Bulc, Cassie Landers & Katherine Driscoll
Pages: 69-75
Published online: 26 Jan 2018
AbstractforData Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health—Developing a New Interactive Relational Mapping Tool (Demo) | Full Text | References | PDF (397.7 KB)
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Article
Exploring the Urban–Rural Incarceration Divide: Drivers of Local Jail Incarceration Rates in the United States
Rachael Weiss Riley, Jacob Kang-Brown, Chris Mulligan, Vinod Valsalam, Soumyo Chakraborty & Christian Henrichson
Pages: 76-88
Published online: 16 Feb 2018
AbstractforExploring the Urban–Rural Incarceration Divide: Drivers of Local Jail Incarceration Rates in the United States | Full Text | References | PDF (1.1 MB)
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Article
Applications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City
Boyeong Hong, Awais Malik, Jack Lundquist, Ira Bellach & Constantine E. Kontokosta
Pages: 89-104
Published online: 31 Jan 2018
AbstractforApplications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City | Full Text | References | PDF (685.5 KB)
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