gaoyuanliang / deep_depression_detector
Deep learning model of depression detection from activity sensor data
☆13Updated 3 years ago
Alternatives and similar repositories for deep_depression_detector:
Users that are interested in deep_depression_detector are comparing it to the libraries listed below
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆57Updated 3 years ago
- Depression is one of the most common mental disorders with millions of people suffering from it.It has been found to have an impact on t…☆20Updated 4 years ago
- depression detection by using tweets☆28Updated 6 years ago
- A ML project specifically build for predicting students' mental health☆23Updated 2 years ago
- Speech-based diagnosis of depression☆27Updated 3 years ago
- This repository applies Deep Learning techniques for depression detection in text, using LSTM, GRU, BiLSTM, BERT models, and a baseline F…☆14Updated last year
- Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …☆1Updated 4 years ago
- Depression Detection from Speech☆33Updated 7 years ago
- Using Machine Learning to predict if text is suicidal.☆12Updated 2 years ago
- Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed…☆92Updated 3 years ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆18Updated 2 years ago
- Supervised Machine Learning model trained on OSMIhelp.org mental health datasets.☆20Updated 5 years ago
- Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…☆23Updated 3 years ago
- This repository contains the code of our winning solution for the Shared Task on Detecting Signs of Depression from Social Media Text at …☆25Updated last year
- Detect depression in tweets using Keras☆32Updated 5 years ago
- Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library☆9Updated 2 years ago
- Stroke is a disease that affects the arteries leading to and within the brain. A stroke occurs when a blood vessel that carries oxygen an…☆22Updated last year
- Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users …☆96Updated 4 years ago
- Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and seg…☆49Updated 4 years ago
- A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computin…☆121Updated 4 years ago
- In this project, I extend the implementation of a Tweet/Sentence Sentiment Classification to a "Depression Assistant Chatbot". This softw…☆16Updated 5 years ago
- Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase☆49Updated 2 years ago
- Stress Detection module which classifies stressed faces and define stress level☆37Updated 3 years ago
- The first asian machine learning in Jeju Island, South Korea - Project☆70Updated 4 years ago
- Real Time Facial Expression Recognition with Deep Learning with keras☆12Updated 4 years ago
- A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FER…☆34Updated 4 years ago
- Deep Learning based research project for predicting mental state of a person.☆7Updated 4 years ago
- MEDICARE - A Drug Recommender System to recommend drugs available in the market to doctors based on a recommended rating score provided b…☆10Updated 4 years ago
- A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an esse…☆44Updated 2 years ago
- This project explores using machine learning methods for detection of Parkinson's disease using an individual's speech.☆13Updated 5 years ago