Mental health of people in Argentina post quarantine COVID-19 Model
Model Details
Model Description
This model aims to cluster cases and identify which province or region of Argentina presents higher values of suicide risk based on the analyzed variables, in order to subsequently assist the community in creating support programs.
- Developed by: Farias, Federico; Arroyo, Guadalupe; Avalos, Manuel
- Model type: Clustering
- License: Creative Commons Attribution Non Commercial 4.0
Uses
Research and education.
Out-of-Scope Use
Government and private entities in the fields of research, medicine, psychology, and education.
Bias, Risks, and Limitations
This model is intended for research purposes, and it analyzes serious topics related to individuals' mental health. It should not be taken as practical advice for real-life situations, except for the possibility that in the future, the dataset used for its training could be improved and discussions with its authors could facilitate extended usage.
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
https://huggingface.co/datasets/fridriik/mental-health-arg-post-quarantine-covid19-dataset
Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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