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  Published Paper Details:

  Paper Title

Towards Precision Medicine: Machine Learning in Depression Diagnosis

  Authors

  Surendra Bandi,  Syed Zoya Mehak,  V. Vinod Chandra,  M.Soumya,  P. Sai Samraat

  Keywords

Firebase, SVM, Random Forest, Secure Hash Algorithm

  Abstract


Depression is a prevalent condition that affects about 300 million individuals globally. Anyone can experience depression at any time. It could happen just once or again. It is not the same as typical mood swings or transient melancholy brought on by day-to-day issues. Future developments in technology are transforming the healthcare sector. The discovery of the causes of depression may result in novel studies and therapeutic approaches. as depression is quickly rising to the top of the global community health agenda. We suggested a method that uses machine learning (ML) algorithms to analyse user input data and utilise the results to predict whether or not the user is depressed. The proposed model was adopted to improve the classification performance, and the result showed classification accuracy of 99.74%.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2312280

  Paper ID - 247722

  Page Number(s) - c439-c447

  Pubished in - Volume 11 | Issue 12 | December 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Surendra Bandi,  Syed Zoya Mehak,  V. Vinod Chandra,  M.Soumya,  P. Sai Samraat,   "Towards Precision Medicine: Machine Learning in Depression Diagnosis", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.c439-c447, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312280.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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