04895nam 22007335 450 991091981180332120241231115232.09783031743832303174383010.1007/978-3-031-74383-2(CKB)37115961200041(MiAaPQ)EBC31867739(Au-PeEL)EBL31867739(DE-He213)978-3-031-74383-2(OCoLC)1482736999(EXLCZ)993711596120004120241231d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierHealth Analytics with R Learning Data Science Using Examples from Healthcare and Direct-to-Consumer Genetics /by Mary Regina Boland1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (663 pages)9783031743825 3031743822 Chapter 1–Introduction -- Chapter 2-Genetics Analysis for Health Analytics -- Chapter 3-Determining Phenotypic Traits from Single Nucleotide Polymorphism (SNP) Data -- Chapter 4-Clinical Genetic Databases: ClinVar, ACMG Clinical Practice Guidelines -- Chapter 5-Inferring Disease Risk from Genetics -- Chapter 6-Challenges in Health Analytics Due to Lack of Diversity in Genetic Research: Implications and Issues with Published Knowledge -- Chapter 7-Clinical Data and Health Data Types -- Chapter 8-Clinical Datasets: Open Access Electronic Health Records Datasets -- Chapter 9-Association Mining with Clinical Data: Phenotype-Wide Association Studies (PheWAS) -- Chapter 10-Organizing a Clinical Study Across Multiple Clinical Systems: Common Data Models -- Chapter 11-Environmental Health Data Types for Health Analytics -- Chapter 12-Geospatial Analysis Using Environmental Health Data -- Chapter 13-Social Determinants of Health Data for Health Analytics -- Chapter 14-Geospatial Analysis Using Social Determinants of Health, Clinical Data and Spatial Regression Methods -- Chapter 15–Ethics.This textbook teaches health analytics using examples from the statistical programming language R. It utilizes real-world examples with publicly available datasets from healthcare and direct-to-consumer genetics to provide learners with real-world examples and enable them to get their hands on actual data. This textbook is designed to accompany either a senior-level undergraduate course or a Masters level graduate course on health analytics. The reader will advance from no prior knowledge of R to being well versed in applications within R that apply to data science and health analytics. “I have never seen a book like this and think it will make an important contribution to the field. I really like that it covers environmental, social, and geospatial data. I also really like the coverage of ethics. These aspects of health analytics are often overlooked or deemphasized. I will definitely buy copies for my team.” - Jason Moore, Cedars-Sinai Medical Center “Overall, I have a highly positive impression of the book. It is VERY comprehensive. It covers very extensive data types. I do not recall other books with the same level of comprehensiveness.” - Shuangge Ma, Yale University “The book is comprehensive in both aspects of genetics, and health analytics. It covers any type of information a healthcare data scientist should be familiar with, whether they are novice or experienced. I found any chapter that I looked into comprehensive, but also not too detailed (although in general this book is more than 600 pages of comprehensive and detailed relevant information).” - Robert Moskovtich, Ben-Gurion University of the Negev.BiologyTechniqueGene expressionQuantitative researchGeneticsGenomicsArtificial intelligenceData processingGene Expression AnalysisData Analysis and Big DataGeneticsBiological TechniquesGenomic AnalysisData ScienceBiologyTechnique.Gene expression.Quantitative research.Genetics.Genomics.Artificial intelligenceData processing.Gene Expression Analysis.Data Analysis and Big Data.Genetics.Biological Techniques.Genomic Analysis.Data Science.570.28572.865Boland Mary Regina1781565MiAaPQMiAaPQMiAaPQBOOK9910919811803321Health Analytics with R4306417UNINA02900oam 2200733Ma 450 991096070120332120251117093025.01-136-20607-81-283-94227-50-203-09429-81-136-20608-610.4324/9780203094297 (CKB)2670000000315506(EBL)1108562(OCoLC)823719060(SSID)ssj0000814654(PQKBManifestationID)12400240(PQKBTitleCode)TC0000814654(PQKBWorkID)10801385(PQKB)10784833(OCoLC)823832472(MiAaPQ)EBC1108562(Au-PeEL)EBL1108562(CaPaEBR)ebr10643560(CaONFJC)MIL425477(FINmELB)ELB134857(OCoLC)940210225(OCoLC-P)940210225(FlBoTFG)9780203094297(EXLCZ)99267000000031550620120920d2013 uy 0engur|n|---|||||txtccrBasic skills education in community colleges inside and outside of classrooms /by W. Norton Grubb with Robert Gabriner1st ed.London Routledge2013New York :Routledge,2013.1 online resource (253 p.)Description based upon print version of record.0-415-63475-X 0-415-63474-1 Includes bibliographical references and index.section I. Inside the classroom -- section II. Institutional effects on classrooms.Nearly two-thirds of students require some form of remediation before taking college-level classes, and community colleges have become increasingly important in providing this education. Unfortunately, relatively few students complete the developmental courses required to make a transition to college-level work. Based on a three-year study of over twenty community colleges, Basic Skills Education in Community Colleges analyzes developmental education practices, exploring what goes wrong and what goes right, and provides a series of recommendations for improved practice. IncludBasic skills education in community colleges :inside and outside of classroomsCommunity collegesCommunity collegesCurriculaBasic educationCommunity colleges.Community collegesCurricula.Basic education.378.1/543EDU015000bisacshGrubb W. Norton887371Gabriner Robert1877037OCoLC-POCoLC-PBOOK9910960701203321Basic skills education in community colleges4489014UNINA