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What is Prediction Models

Chapter 146
Encyclopedia of Data Science and Machine Learning
Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event.
Published in Chapter:
Challenges and Chances of Classical Cox Regression
Mengying Xia (Emory University, USA) and Leigh Wang (Northwestern University, USA)
Copyright: © 2023 |Pages: 12
DOI: 10.4018/978-1-7998-9220-5.ch146
Abstract
Cox regression is the method for investigating the effect of several variables upon the time a specified event takes to happen. It is also known as the proportional hazards regression because it is all revolved around survival analysis. The Cox proportional hazards (CPH) model is the most frequently used approach for survival analysis in a wide variety of fields. This article summarizes current research, especially its applications in the area of diagnosis and treatment of coronavirus disease 2019 (COVID-19). Also, the pros and cons of competitive machine learning (ML) models for targeting the same object will be presented.
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Chapter 23
A Meta-Analytical Review of Deep Learning Prediction Models for Big Data
Prediction model predicts the future event or results by means of analyzing the pattern in given set of input data.
Published in Chapter: A Meta-Analytical Review of Deep Learning Prediction Models for Big Data; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
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