Machine Learning in Depression Detection: Exploring the Possibilities
DOI:
https://doi.org/10.47611/jsrhs.v12i4.5252Keywords:
Depression, Machine Learning, PythonAbstract
This paper aims to explore the future possibilities of using machine learning to aid in diagnosing and discovering underlying mental illnesses such as depression, anxiety, etc. This is done by testing the current limitations of machine learning when it comes to emotion detection and testing the effectiveness of machine learning in this area using a Python program.
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