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  Published Paper Details:

  Paper Title

BIPOLAR DISORDER DIAGNOSIS

  Authors

  Rohith Kumar,  Surya Kumari,  Vara prasad,  Shravan

  Keywords

Machine Learning, Python, Gitpod, Bipolar Disorder, Mental illness, Patient data, Episodes.

  Abstract


Bipolar Disorder is a complex disorder that affects millions of people in the world.1in every 100 people are affected by bipolar disorder.One of the fields of work that could benefit from Machine Learning is, without doubt, the field of medicine. It is our belief that with the use of Machine Learning we can help both patients and doctors make a better diagnosis of this illness. The goal of this project is to apply different Machine Learning algorithms to symptoms based patient data in order to help create a prediction model. This model would make it easier for psychiatrists to decide whether their patients might be tending towards a depression or mania episode, or staying in a euthymic state.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106486

  Paper ID - 209013

  Page Number(s) - e229-e234

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Rohith Kumar,  Surya Kumari,  Vara prasad,  Shravan,   "BIPOLAR DISORDER DIAGNOSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.e229-e234, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106486.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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