Abstract
Machine Learning today in data analysis field robotize interperative model framework. Classification algorithms in Machine learning have grown to be among the leading research topics and its utilization in therapeutic datasets are in discussion all over. Acknowledging the fact that combining multiple predictions leads to more accurate results than merely depending on a single prediction, a single dataset has been trained on various algorithms and the highest voted class is predicted as the result. Liver disease is the only major instigation of death still perennial, hence early detection and treatment of not very symptomatic liver disease is must which can significantly reduce the chances of death. In the proposed work, the dataset of Indian Liver Patient has been utilized and it clearly states that grouping classification algorithms efficiently improves the rate of prediction of illnesses.
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Kumari, S., Singh, M., Kumar, K. (2021). Prediction of Liver Disease Using Grouping of Machine Learning Classifiers. In: Tripathi, M., Upadhyaya, S. (eds) Conference Proceedings of ICDLAIR2019. ICDLAIR 2019. Lecture Notes in Networks and Systems, vol 175. Springer, Cham. https://doi.org/10.1007/978-3-030-67187-7_35
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