Intelligent and Other Computational Techniques in Insurance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent and Other Computational Techniques in Insurance write by A. F. Shapiro. This book was released on 2003. Intelligent and Other Computational Techniques in Insurance available in PDF, EPUB and Kindle. This book presents recent advances in the theory and implementation of intelligent and other computational techniques in the insurance industry. The paradigms covered encompass artificial neural networks and fuzzy systems, including clustering versions, optimization and resampling methods, algebraic and Bayesian models, decision trees and regression splines. Thus, the focus is not just on intelligent techniques, although these constitute a major component; the book also deals with other current computational paradigms that are likely to impact on the industry. The application areas include asset allocation, asset and liability management, cash-flow analysis, claim costs, classification, fraud detection, insolvency, investments, loss distributions, marketing, pricing and premiums, rate-making, retention, survival analysis, and underwriting.
Intelligent and Other Computational Techniques in Insurance
Intelligent and Other Computational Techniques in Insurance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent and Other Computational Techniques in Insurance write by L. C. Jain. This book was released on 2003. Intelligent and Other Computational Techniques in Insurance available in PDF, EPUB and Kindle. This book presents recent advances in the theory and implementation of intelligent and other computational techniques in the insurance industry. The paradigms covered encompass artificial neural networks and fuzzy systems, including clustering versions, optimization and resampling methods, algebraic and Bayesian models, decision trees and regression splines. Thus, the focus is not just on intelligent techniques, although these constitute a major component; the book also deals with other current computational paradigms that are likely to impact on the industry. The application areas include asset allocation, asset and liability management, cash-flow analysis, claim costs, classification, fraud detection, insolvency, investments, loss distributions, marketing, pricing and premiums, rate-making, retention, survival analysis, and underwriting. Contents: Insurance Applications of Neural Networks, Fuzzy Logic, and Genetic Algorithms; Practical Applications of Neural Networks in Property and Casualty Insurance; An Integrated Data Mining Approach to Premium Pricing for the Automobile Insurance Industry; Population Risk Management: Reducing Costs and Managing Risk in Health Insurance; Using Neural Networks to Predict in the Marketplace; Merging Soft Computing Technologies in Insurance-Related Applications; Robustness in Bayesian Models for BonusOCoMalus Systems; Using Data Mining for Modeling Insurance Risk and Comparison of Data Mining and Linear Modeling Approaches; System Intelligence and Active Stock Trading; The Algebra of Cash Flows: Theory and Application; and other papers. Readership: Graduate students, academics, researchers and practitioners involved with actuarial science, insurance, statistics and management science."
Translating Healthcare Through Intelligent Computational Methods
Translating Healthcare Through Intelligent Computational Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Translating Healthcare Through Intelligent Computational Methods write by C. Ram Kumar. This book was released on 2023-06-07. Translating Healthcare Through Intelligent Computational Methods available in PDF, EPUB and Kindle. This book provides information on interdependencies of medicine and telecommunications engineering and how Covid exemplifies how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear cut views on medical technologies. The authors provide chapters on processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field of communications engineering with a variety of perspectives.
Healthcare Risk Adjustment and Predictive Modeling
Healthcare Risk Adjustment and Predictive Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Healthcare Risk Adjustment and Predictive Modeling write by Ian G. Duncan. This book was released on 2011. Healthcare Risk Adjustment and Predictive Modeling available in PDF, EPUB and Kindle. This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.
Computational Intelligence in Economics and Finance
Computational Intelligence in Economics and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence in Economics and Finance write by Paul P. Wang. This book was released on 2007-07-11. Computational Intelligence in Economics and Finance available in PDF, EPUB and Kindle. Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.
