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  Published Paper Details:

  Paper Title

BRAIN SIZE ANALYSIS SYSTEM USING MACHINE LEARNING ALGORITHM

  Authors

  Pavitra Gonal,  Ms. Swaroopa Shastri

  Keywords

Monozygotic twins (MZ), Intelligence quotient (IQ), Brain size.

  Abstract


Identical twins are referred as Monozygotic twins (MZ). MZ twins formed from a single zygote. The zygote divides into two equal halves, each of which grows independently into an individual of the same sex and genetic constitution as the other. MRI and quantitative image analysis techniques were used, many studies shown the relationship between neuroanatomic similarities in MZ twins and head size, brain size, and intelligence quotient (IQ). In proposed study we applied linear regression algorithm to find the correlation between Forebrain volume, cortical surface and callus area to show the best precision. By reducing the error, this method can find the line. The distance between the line and the point is the error of each point. The study showed that there is no significant correlation between IQ and brain or head circumference measurements. These results indicate that the forebrain volume, cortical surface, and callus area of the MZ twins are similar, and the brain measurements are closely related to each other and closely related to head circumference. But it has nothing to do with the IQ of healthy young people.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2112387

  Paper ID - 213870

  Page Number(s) - d706-d710

  Pubished in - Volume 9 | Issue 12 | December 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Pavitra Gonal,  Ms. Swaroopa Shastri,   "BRAIN SIZE ANALYSIS SYSTEM USING MACHINE LEARNING ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 12, pp.d706-d710, December 2021, Available at :http://www.ijcrt.org/papers/IJCRT2112387.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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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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