aildnont/HIFIS-model
Machine learning models for prediction of chronic homelessness using the HIFIS Application.
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.
Stars
18
Forks
9
Language
Python
License
MIT
Category
Last pushed
Jul 10, 2024
Commits (30d)
0
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