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010   $a9783031743832
010   $a3031743830
024 7 $a10.1007/978-3-031-74383-2
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035   $a(MiAaPQ)EBC31867739
035   $a(Au-PeEL)EBL31867739
035   $a(DE-He213)978-3-031-74383-2
035   $a(OCoLC)1482736999
035   $a(EXLCZ)9937115961200041
100   $a20241231d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHealth Analytics with R $eLearning Data Science Using Examples from Healthcare and Direct-to-Consumer Genetics /$fby Mary Regina Boland
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (663 pages)
311 08$a9783031743825 
311 08$a3031743822 
327   $aChapter 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.
330   $aThis 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.
606   $aBiology$xTechnique
606   $aGene expression
606   $aQuantitative research
606   $aGenetics
606   $aGenomics
606   $aArtificial intelligence$xData processing
606   $aGene Expression Analysis
606   $aData Analysis and Big Data
606   $aGenetics
606   $aBiological Techniques
606   $aGenomic Analysis
606   $aData Science
615  0$aBiology$xTechnique.
615  0$aGene expression.
615  0$aQuantitative research.
615  0$aGenetics.
615  0$aGenomics.
615  0$aArtificial intelligence$xData processing.
615 14$aGene Expression Analysis.
615 24$aData Analysis and Big Data.
615 24$aGenetics.
615 24$aBiological Techniques.
615 24$aGenomic Analysis.
615 24$aData Science.
676   $a570.28
676   $a572.865
700   $aBoland$b Mary Regina$01781565
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910919811803321
996   $aHealth Analytics with R$94306417
997   $aUNINA