Predictive Modeling using Machine Learning and Pattern Classification Approaches for Health Care - A Review

Authors

  • Dr. Rabindranath S  Associate Professor, Department of CSE, AMC Engineering College, Bangalore, Karnataka, India
  • Dr. Doddegowda B J  Associate Professor, Department of CSE, AMC Engineering College, Bangalore, Karnataka, India
  • Vasanth C Bhagawat  Associate Professor, Department MCA, AMC Engineering College, Bangalore, Karnataka, India

Keywords:

Predictive modeling, Regression and pattern classification. Regression models

Abstract

Predictive modeling is the general concept of building a model that is capable of making predictions. Typically, such a model includes a machine learning algorithm that learns certain properties from a training dataset in order to make those predictions. Predictive modeling can be divided further into two sub areas: Regression and pattern classification. Regression models are based on the analysis of relationships between variables and trends in order to make predictions about continuous variables, e.g., the prediction of the maximum temperature for the upcoming days in weather forecasting. In contrast to regression models, the task of pattern classification is to assign discrete class labels to particular observations as outcomes of a prediction.

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International Journal of Scientific Research in Science and Technology

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Published

2022-02-05

Issue

Volume 9, Issue 1, January-February-2022

Section

Research Articles

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How to Cite

[1]
Dr. Rabindranath S, Dr. Doddegowda B J, Vasanth C Bhagawat "Predictive Modeling using Machine Learning and Pattern Classification Approaches for Health Care - A Review" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 1, pp.455-463, January-February-2022.