Deep learning model of depression detection from activity sensor data
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Updated
Dec 17, 2021 - Python
Deep learning model of depression detection from activity sensor data
Edison AT V2 Pro full feature support diagnosist mental illness and check mental health
🏫 Statistical analysis for abstract submitted to the "Salão Universitário 2021" of the Catholic University of Pelotas by the graduate student Maria Fernanda Nieves.
This web app helps to predict the Parkinson disease status of a patient. It can be helpful for any test center who can upload there patient details and easily get a prediction.
Tugas akhir (final year project). This source code was used in the bachelor thesis “Public Sentiment Analysis of Mental Disorder based on Twitter Texts using Support Vector Machine”.
💊 Scientific research for Aripiprazole and STPD.
Development code for custom Live ISO Linux for late seniors and cognitive challenged users
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