Titlebook: Data Science and Predictive Analytics; Biomedical and Healt Ivo D. Dinov Textbook 2023Latest edition The Editor(s) (if applicable) and The

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Geotechnologies and the Environmenttional data. Natural language processing and text mining techniques include automated algorithms for semantic mapping, information extraction, and understanding of human language. The main goal of text mining and natural language processing is to discover relevant contextual information that may be

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https://doi.org/10.1007/978-3-319-11469-9ficial intelligence applications. This chapter presents various strategies for model validation and performance improvement. Specifically, we will discuss various performance metrics, internal statistical cross-validation, hyper-parameter tuning, and forecasting accuracy.

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J. E. Gubernatis,R. N. Silver,M. Jarrellary, and dynamic data formats. All data analytics are always predicated on efficient, consistent, and reliable data import. In this chapter, we will focus on examples of specialized types of datasets and database interfaces. We will discuss on-the-fly (online) streamed data processing, random data g

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S. Saito,A. Oshiyama,Y. Miyamotos for unique solutions of modeling equations, and contextual difficulties with mechanistic understanding of any derived results. Feature selection and identification of variable importance represent common steps in many bioinformatics, healthcare, and biomedical data analytics protocols that aim to

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The Geometric Attributes of Paintingsgitudinal processes, and various evaluation criteria for assessing algorithmic performance. Specifically, we will cover the fundamentals of time-series analysis, autoregressive integrated moving average (ARIMA) models, structural equation models (SEM), linear mixed models, generalized estimating equ

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Data Science and Predictive Analytics978-3-031-17483-4Series ISSN 2520-1298 Series E-ISSN 2520-1301