sMRI based depression classification using 3D volumetric convolutional networks
-
Updated
Aug 30, 2018 - Python
sMRI based depression classification using 3D volumetric convolutional networks
depression detection by using tweets
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
Pain; Neurosynth; MVPA; Mediation
This chatbot tries to imitate how depressed people think.
Deep Learning based research project for predicting mental state of a person.
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Android application for Identification of stress symptoms, comparison and remedial solutions provided through chat-bot(Neo).
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
Edison AT is software Depression Assistant personal.
Telegram bot used to test whether user have depression or no.
machine learning models for predicting depression based on EEG data
2D and 3D deformable CNN Autoencoders
Prototype for predicting the severity of depression based on machine learning models deployed over the Google Cloud Platform using Firebase.
Predicting depression from daily gross motor activity
Depression and Suicidal Thoughts Support Chat App
Website for depression analysis by using LSTM-based model to classify depressive tweets.
Prompt: والحرب تجعل كل شيءٍ واضحٍ .... 🖊 Output: No depression e` Propability of 99.9% 🧠⏳
The Depression Dataset - Data Analysis
Can LMs generate useful synthetic data for the mental health domain?
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."