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What is Predictive Modelling

Cybersecurity and Data Management Innovations for Revolutionizing Healthcare
The system of using mathematical or computational strategies to increase fashions that expect destiny occasions or outcomes primarily based on ancient facts patterns.
Published in Chapter:
Advanced Analytics and Machine Learning Algorithms for Healthcare Decision Support Systems: A Study
Ketan Sarvakar (Ganpat University, India), Rahul Yadav (Ganpat University, India), Akshita Patel (Ganpat University, India), Chandrakantbhai Devabhai Patel (Ganpat University, India), Kaushik Rana (Vishwakarma Government Engineering College, India), and Viral Borisagar (Gujarat Technological University, India)
DOI: 10.4018/979-8-3693-7457-3.ch002
Abstract
Healthcare CDSS uses machine learning and analytics for real-time insights, risk projections, and decision support. The chapter covers CDSS development, deployment, and evaluation using machine learning for early illness prediction and personalised care. NLP analyses unstructured medical data to identify risks and schedule staff efficiently. Data scientists detect abnormalities to prevent healthcare fraud. CDSS machine learning speeds drug discovery with diagnoses, treatments, and insights. CDSS machine learning and analytics improve patient care, personalisation, and outcomes.
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Intricacies of AI-Enhanced Mood Tracking for Personalized Well-Being
Predictive modelling involves the use of statistical algorithms and machine learning techniques to forecast future outcomes or trends based on historical data.
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Modelling in Support of Decision Making in Business Intelligence
It is a process related to models creation concerning data usage and processing with aim business items, events and processes to be predicted.
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U.S. Unemployment Rate Prediction by Economic Indices in the COVID-19 Pandemic Using Neural Network, Random Forest, and Generalized Linear Regression
A widely used statistical and mathematical methodology for data analysis. It predicts possible future events based on data mining process of historical data.
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Eight Tips for the Theme, “Data and Forecasts”
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Identifying Patterns in Fresh Produce Purchases: The Application of Machine Learning Techniques
A process of using data mining or machine learning techniques to predict outcomes of interest. Once variables that are likely to influence the outcomes are identified and the relevant data is collected, a model is formulated and tested.
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