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Liver Disorder Prediction Due to Excessive Alcohol Consumption Using SLAVE

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Book cover Emerging Technologies in Data Mining and Information Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 755))

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Abstract

The disturbances caused in the liver are recognized as liver disorder which results in illness. The liver plays a vital role and exclusive functions in the body. Liver injury/rupture can lead to massive damage to the body. Liver disease is a widely used term that covers all the probable issues that cause the liver to fail in order to perform its selected functions. Overconsumption of alcohol can lead to liver disorder which ultimately leads to many other problems. SLAVE is an associate degree inductive learning calculation that employs concepts in lightweight of down like principle hypothesis. This hypothesis can be used to perceive an authentic device for enhancing the comprehension of the knowledge, which cannot be inherited if just the purpose of reading by the user is known. Besides, SLAVE utilizes associate reiterative approach for learning. The research tends to propose an associate adjustment of the underlying reiterative approach used as a region of SLAVE.

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Correspondence to Vikas Deep .

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Saxena, S., Deep, V., Sharma, P. (2019). Liver Disorder Prediction Due to Excessive Alcohol Consumption Using SLAVE. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-13-1951-8_18

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