RETRACTED CHAPTER: An Analytical Review on Machine Learning Techniques to Predict Diseases

Dhiraj Dahiwade, Gajanan Patle and Kiran Gotmare
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Dhiraj Dahiwade: Abha-Gaikwad Patil College of Engineering, Department of Computer Science & Engineering
Gajanan Patle: Abha-Gaikwad Patil College of Engineering, Department of Computer Science & Engineering
Kiran Gotmare: Abha-Gaikwad Patil College of Engineering, Department of Computer Science & Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1349-1354 from Springer

Abstract: Abstract In Disease Diagnosis acknowledgment of examples is so imperative for recognizing the disease precisely. Machine learning is the field which is utilized for building the models that can predict the yield depends on the sources of info which are related dependent on the past information. Disease recognizable proof is the most pivotal assignment for treating any disease. Classification calculations are utilized for arranging the disease. There are a few classification calculations and dimensionality decrease calculations utilized. Machine Learning enables the PCs to learn without being altered remotely. By utilizing the Classification Algorithm a theory can be chosen from the arrangement of choices the best fits an arrangement of perceptions. Machine Learning is utilized for the high dimensional and the multi-dimensional information. Better and programmed calculations can be created utilizing Machine Learning.

Keywords: Machine learning; Classification algorithms; Decision trees; KNN; K-means; ANN (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_138

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DOI: 10.1007/978-3-030-41862-5_138

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