depression detection by using tweets
-
Updated
Feb 10, 2019 - Python
depression detection by using tweets
Edison AT is software Depression Assistant personal.
machine learning models for predicting depression based on EEG data
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
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
Deep Learning based research project for predicting mental state of a person.
sMRI based depression classification using 3D volumetric convolutional networks
My final year dissertation project. This project takes motor activity data from a control group and a condition group. The data is filtered, cleaned and transformed for appropriate use to find the "best" classification algorithm to identify depressed patients from non-depressed patients
Can LMs generate useful synthetic data for the mental health domain?
Android application for Identification of stress symptoms, comparison and remedial solutions provided through chat-bot(Neo).
2D and 3D deformable CNN Autoencoders
Predicting depression from daily gross motor activity
Prototype for predicting the severity of depression based on machine learning models deployed over the Google Cloud Platform using Firebase.
This chatbot tries to imitate how depressed people think.
Prompt: والحرب تجعل كل شيءٍ واضحٍ .... 🖊 Output: No depression e` Propability of 99.9% 🧠⏳
Codes for paper:A Prompt-Based Learning Approach for Few-Shot Social Media Depression Detection
Website for depression analysis by using LSTM-based model to classify depressive tweets.
Telegram bot used to test whether user have depression or no.
The Depression Dataset - Data Analysis
Pain; Neurosynth; MVPA; Mediation
Add a description, image, and links to the depression-analysis topic page so that developers can more easily learn about it.
To associate your repository with the depression-analysis topic, visit your repo's landing page and select "manage topics."