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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
MULTI DISEASE PREDICTION MODEL USING MACHINE LEARNING
Authors
RIDHAM SHARMA, MOHIT SHARMA, ARJUN CHAUDHARY, ANMOL SINGH, SURBHI
Keywords
Random forest ,Knn neighbors classifier , Data analytic , Breast Cancer , Heart disease Clinical data analytics , Healthcare analytics
Abstract
In this advanced world, data is a resource, and tremendous data was creating altogether fields. Data in the medical care industry comprises patient data and infection-related data. This clinical data and AI method will assist us with examining a lot of data to discover the secret examples in the infection, to give customized treatment to the patient, and used to foresee the illness. In this work, an overall design has proposed for foreseeing the sickness in the medical services industry. This framework was tested utilizing with decreased set highlights of Constant Heart and cancer disease dataset utilizing improved AI prediction strategy consist of AI methods, for example, Knn neighbors classifier, Random Forrest Classifier in PhyCharm
From the output results, knn neighbors classifier and random Forrest produce accuracy as 95% and 89% in the Breast Cancer and Heart Disease dataset respectively.
IJCRT's Publication Details
Unique Identification Number - IJCRT2105095
Paper ID - 206591
Page Number(s) - a858-a863
Pubished in - Volume 9 | Issue 5 | May 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
RIDHAM SHARMA, MOHIT SHARMA, ARJUN CHAUDHARY, ANMOL SINGH, SURBHI, "MULTI DISEASE PREDICTION MODEL USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.a858-a863, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105095.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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