Prediction Models

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Author(s): Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)
Copyright: 2021
Pages: 20
Source title: Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Source Author(s)/Editor(s): Geeta Rani (Manipal University Jaipur, India)and Pradeep Kumar Tiwari (Manipal University Jaipur, India)
DOI: 10.4018/978-1-7998-2742-9.ch004

Keywords: Knowledge Management and Library Science / Machine Learning / Medical Diagnosis and Practice / Medical Information Science Reference

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Abstract

Having/living convenient life through smart devices, people are more interested or more dependent on to predict something for future (i.e., with respect to their health, business, etc.). For that, many prediction models by several researchers are being used in many applications. Due to a vast (rapid) change in lifestyle, people are more prone to a number of life-threatening diseases when it comes to their well-being. Many of these diseases start developing their symptoms in their early stages. But, still many of these diseases like cancer, kidney damages remain unidentified in their developing stages. The earlier a disease is predicted, the easier it becomes to cure it and even prevent it. Predictive modeling provides a huge step forward in medical science in preventing the risk among patients. Prediction modeling is the process of analyzing current conditions to predict future results.

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