aildnont/HIFIS-model

Machine learning models for prediction of chronic homelessness using the HIFIS Application.

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Emerging

This project helps municipal homelessness prevention divisions identify individuals at risk of chronic homelessness. It takes raw client data from the Homeless Individuals and Families Information System (HIFIS) database and outputs predictions, flagging clients who are likely to experience chronic homelessness. Homelessness support managers and social workers can use this information to proactively offer assistance.

No commits in the last 6 months.

Use this if your municipality uses the HIFIS application and database and you want to predict chronic homelessness risk to better allocate prevention resources.

Not ideal if your organization does not use the HIFIS database or you are looking for a real-time predictive system.

homelessness-prevention social-services municipal-programs vulnerability-assessment public-health
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

18

Forks

9

Language

Python

License

MIT

Last pushed

Jul 10, 2024

Commits (30d)

0

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