Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
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Updated
Aug 23, 2021 - Python
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
A visual representation of depressive thoughts.
Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)
Visualizing suicide data with javascript libraries
A social chatbot for people in depression and suicidal condition.
Statistics for Suicide Analysis for all the countries in the world using Machine Learning Algorithms to find some interesting patterns, solutions and Clues about Suicides using Data Analysis and Data Visualizations
From the #coloralife team: Chrome extension to redirect users searching for or posting content flagged for suicidal ideation on social media to professional resources.
Scripts y dataset para analizar las defunciones por suicidio en México utilizando los microdatos del INEGI
This repo contains my final work for my class in Natural Language Processing, part of the MSc in Data Science and Business Analytics @ Bocconi University
This repository contains example code to estimate spatially smoothed small area estimates of firearm suicide mortality rates across counties in the contiguous United States.
Data Analysis of suicides in India
This project explores underlying factors contributing to farmer suicides in India and facilitating targeted interventions. Using advanced data visualization techniques, this report provides a comprehensive analysis of several factors such as Regional trends and hotspots, causes & correlations etc.
Repository for Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore
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