Applications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City-Reference-Cited by-同舟云学术

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Applications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City

Published:2018-01-02 Issue:1 Volume:36 Page:89-104
ISSN:1522-8835
Container-title:Journal of Technology in Human Services
language:en
Short-container-title:Journal of Technology in Human Services

Author:

Hong Boyeong¹,Malik Awais¹,Lundquist Jack²,Bellach Ira³,Kontokosta Constantine E.¹

Affiliation:

1. Department of Civil and Urban Engineering and Center for Urban Science and Progress, New York University, Brooklyn, New York

2. Center for Urban Science and Progress, New York University, Brooklyn, New York

3. Women In Need NYC, New York, New York

Funder

John D. and Catherine T. MacArthur Foundation

Publisher

Informa UK Limited

Subject

Computer Networks and Communications,General Social Sciences,Social Sciences (miscellaneous),Health (social science)

Link

https://www.tandfonline.com/doi/pdf/10.1080/15228835.2017.1418703

Reference22 articles.

1. Why does family homelessness occur? A case-control study.

2. The Uses of Big Data in Cities

3. Family Homelessness: A Deepening Crisis in Urban Communities

4. CRITICAL QUESTIONS FOR BIG DATA

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