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Diagnosis of Arthritis Using K-Nearest Neighbor Approach

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1075))

Abstract

Disease means ‘shortage of comfort’ or ‘lack of ease’. Disease is also known as illness, sickness, rot, affliction or complaint. Disease is caused by tiny living creatures known as microbes. Pathology is the study of diseases and medical experts means doctors study diseases everyday by using wonderful instrument i.e. microscope which is used to make things look bigger. This paper gives a deep cognition about the diseases, their reasons and the Arthritis. It also provides us a sound noesis about the symptoms of the Arthritis. Basal dendrites referring the receptive from where it’s getting the signals. Let’s suppose the response of the inputs is not that which is desired. So, if the actual response is different to desired. Naturally, we must adjust the internal parameters of nerve cells. This paper gives a novel technique for prediction of arthritis on the bases of the arthritis dataset.

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Correspondence to Vishu Madaan or Prateek Agrawal .

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Kaur, R., Madaan, V., Agrawal, P. (2019). Diagnosis of Arthritis Using K-Nearest Neighbor Approach. In: Luhach, A., Jat, D., Hawari, K., Gao, XZ., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2019. Communications in Computer and Information Science, vol 1075. Springer, Singapore. https://doi.org/10.1007/978-981-15-0108-1_16

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  • DOI: https://doi.org/10.1007/978-981-15-0108-1_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0107-4

  • Online ISBN: 978-981-15-0108-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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