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

Deep Learning based research project for predicting mental state of a person.

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

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

Depression Detection is a speech-based classifier that analyzes emotional and acoustic features to detect depression.

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.

Pain; Neurosynth; MVPA; Mediation