suicide-prevention
There are 1 repository under suicide-prevention topic.
skurhse / trans-hotlines
hotline resources for transgender people
gohjiayi / suicidal-text-detection
Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.
Language:Jupyter Notebook 25eugenebaraka / Predict-Suicidal-Ideation-on-Reddit
Predicting suicidal ideation on Reddit using machine learning and DistillBERT
Language:Jupyter Notebook 4stereopickle / mental_health_index
Statistical analysis to identify the key factors that attribute to the progression of depressive symptoms
Language:Jupyter Notebook 4NM001007 / An-Attention-based-Hybrid-Suicide-Ideation-Detection
This is an implementation of the attention-based hybrid architecture (Ghosh et al, 2023) for suicide/depressive social media notes detection.
Language:Jupyter Notebook 3IE-NITK / TwitterSuicidalAnalysis
Social Media platform such as Twitter is mined to obtain data regarding Suicidal Instincts (modules can extended to any other data mining application)
Language:Python 2jonathanloos / cove
Cove brings all critical information into one location for ease of access when experiencing a suicidal crisis. This digital version of a safety plan is accessible online and offline, leveraging Angular for its front-end and a serverless AWS Amplify backend.
Language:TypeScript 2kvvaldez / spanish_suicide
Detection of phrases in Spanish with a suicidal tendency in social networks
Language:HTML 2M-Ibtihaj / Suicidal-ideation-detection
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
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shingkid / data-mining-suicide-sg
Repository for Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore
Language:HTML 2- World_Development_Mental_Health_Acquisition
281clo / World_Development_Mental_Health_Acquisition
A in depth view of country development indicators and the impact of these features against suicide rates and happiness scores worldwide.
Language:Jupyter Notebook 1 dankgarlic1 / BeFriend-Guardians-Suicide-Prevention-App
This AI chatbot goes beyond the ordinary Chat GPT bots. This bot has undergone specialized training and fine-tuning, tailored specifically for this particular use case. It's not just a generic AI model; it's a customized solution. The dataset is primarily focused on relevant clinical literature related to Suicidal Ideation, Depression and Anxiety
Language:Dart 1- SafeHavenBot
impana-c / SafeHavenBot
Predicting and Preventing Drastic Actions by Processing Heart Rate and Behaviors and Utilizing Innovative AI Methods
Language:Java 1 jararzaidi / The-Suicide-Crisis-in-Data
From growing up in the heart of Silicon Valley, I have always wondered what was the factors that play a role in Suicide. There have been a plethora of suicide clusters from my High School in Palo Alto. This project seeks to explore the underlying factors. We will use a sample of 44,000 gather data from 141 different Countries, between the 80's to 2016.
Language:Jupyter Notebook 1jpowellgz / poem-clustering
Clustering of suicidal / non-suicidal poets using k-means and PSO
Language:Python 1In this project, three different models based on GAT, GCN and SAGE have been implemented to examine their performance on two prominent social networking platforms, namely Twitter and Reddit.
Language:Python 1Not-Baguette / WS2P
Windows Suicide Prevention Protocol, to stop you or anyone from suicides or act as a parental control
Language:Python 1sriyavasudevan / Suicide-Ideation-Detector
Creating a classifier that can detect suicidal intent based on dataset from Kaggle where reddit posts from r/SuicideWatch and r/Depression has been gathered (IN PROGRESS)
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bpopp / CSE-6250-Final-Project
Georgia Tech class project to validate the findings of a paper utilizing a CNN to improve classification rates of social media posts discussion self-harm and suicide.
Language:Jupyter Notebook 0das-sudeshna / sodium-nitrite
Code repo for JMIR Mental Health paper: Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: An Observational Study Using Natural Language Processing Analysis
Language:Jupyter Notebook 0KorkinLab / DissociativeDisorder-SupervisedLearning
Data augmentation and supervised learning methods for trauma-related dissociation.
Language:Python 0mackenly / suicide-rate-map-explorer
An interactive map that plots U.S. CDC suicide rate and population data on a county level built with React and Python.
Language:JavaScript 0- ED-interaction-mapping
mhmcc / ED-interaction-mapping
Mapping patient interactions in psychiatric presentations to a tertiary emergency department using network science and machine learning
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Startzz-Digital / teste-de-ansiedade-e-depressao
teste de ansiedade e depressão
Language:HTML 0AnamikaRekha1999 / Suicide-Data-Acquisition-and-Analysis-Project
This project was completed as part of the Data Acquisition and Pre-Processing Course at Drexel University, Philadelphia. The project focused on acquiring and analyzing suicide data, conducting web scraping to gather the dataset from various websites, and providing insights into suicide prevention agencies to enhance target audience outreach.
Language:Jupyter Notebookarnav10goel / CSE343-ML-Project
Course Project for CSE-343 (Machine Learning) - Monsoon 2023
Language:Jupyter Notebookguevara-erik / Wolrldwide-Suicide-Rates-Bivariate-Analysis
Problem to solve: find the patterns for increased suicide rates (1985 to 2016) among different cohorts globally, across the socioeconomic spectrum, using exploratory data analysis. Using bivariate analysis, I try to determine if there is any relationship between two variables.
Language:Jupyter NotebookrikiDalvarez / chat-helper
Depression and Suicidal Thoughts Support Chat App
Language:TypeScriptrmiyoyo / Suicide-Rates
A data project using the suicide rates dataset from Kaggle and other datasets that may be introduced along the way. The focus of the analysis will be on identifying trends and patterns in the data to shed light on the factors that contribute to suicide.
Language:Pythonyuan-code / Mental_Health_BigDataChallenge2022
Time Trends and Predictions: Mental Health and Suicide Rates Based on Socioeconomic Indicators From 2000 to 2019
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