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Using Machine Learning to Predict Mental Illness
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Depression and anxiety are omnipresent but largely unnoticeable to us. The statistics indicate that most families on the planet are undoubtedly impacted by them, although many people suffer in silence. Now, this is somewhat due to the difficulty in discussing these diseases, but it's also due to the difficulty in obtaining care. In order to forecast mental health issues, this survey presents a current thorough assessment of machine learning algorithms. We will also go over the difficulties, restrictions, and future directions for using machine learning in the field of mental health.
Title: Using Machine Learning to Predict Mental Illness
Description:
Depression and anxiety are omnipresent but largely unnoticeable to us.
The statistics indicate that most families on the planet are undoubtedly impacted by them, although many people suffer in silence.
Now, this is somewhat due to the difficulty in discussing these diseases, but it's also due to the difficulty in obtaining care.
In order to forecast mental health issues, this survey presents a current thorough assessment of machine learning algorithms.
We will also go over the difficulties, restrictions, and future directions for using machine learning in the field of mental health.
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