ISBN: 9780124016842

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical I… More...

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research.Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applicationsMaterial is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios.Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.; EPUB; Business,Finance and Law > Business & management > Management & management techniques > Management o, Elsevier Science<

ISBN: 9780124016842

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical I… More...

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical in-the-trenches scenarios. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services. Digital Content>E-books>Medicine>Medical Ref>Med Ref, Elsevier Science Digital >16<

ISBN: 9780124016842

Academic Press Business Intelligence Association study; Bayesian inference; Bayesian networks; Bayesian statistics; Big Data; BigDIKW framework; BioNLP; Biomarkers; Biomedical informatics… More...

Academic Press Business Intelligence Association study; Bayesian inference; Bayesian networks; Bayesian statistics; Big Data; BigDIKW framework; BioNLP; Biomarkers; Biomedical informatics; Common disease; Complex diseases; Computerized decision support; Corroborative mining; DIKW framework; Data fusion; Data mining; Data visualizations; Data warehouse; Data-mart; Databases; Description logic; Disease genes; Disease modules; Distributional semantics; Dynamic systems; EHR; Electronic health records; Engineering; Epistasis; Evolutionary algorithms; Frame-based systems; Genetics; Genome-wide association studies; Genomic medicine; Genomics; Geometric representations; Heterogeneity; Heterogeneous data Sources; Hypothesis generation; Information retrieval; Knowledge acquisition; Knowledge discovery; Knowledge representation; Knowledge-based systems; Latent semantic indexing; Learning classifier system; Logic; Machine learning; Metadata; Methods; Natural language processing; Ontologies; PHR; Participatory health; Patient engagement; Personalized medicine; Pharmacogenomics; Physical integration; Random Indexing; Rule-based systems; SNP; Scientific method; Semantic networks; Sensors; Text mining; UML; Workflows ,9780124016781 UK,GB,DE,ES,FR,IT,US,CA,MX,AU,NZ 20130903 English Business, Elsevier Science<

2013, ISBN: 9780124016842

Editor: Sarkar, Indra Neil, Academic Press, Kindle Edition, Auflage: 1, 592 Seiten, Publiziert: 2013-09-03T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Data Warehousing, Data Stor… More...

Editor: Sarkar, Indra Neil, Academic Press, Kindle Edition, Auflage: 1, 592 Seiten, Publiziert: 2013-09-03T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Data Warehousing, Data Storage & Management, Databases, Computing & Internet, Subjects, Books, Public Health, General Medical Issues, Medical & Healthcare Practitioners, Health, Family & Lifestyle, Pathology, Other Branches of Medicine, Biological Sciences, Science, Nature & Maths, Microbiology, Epidemiology & Medical Statistics, Medical Research & Equipment, Scientific, Technical & Medical, Medicine & Nursing, Biostatistics, Biology & Life Sciences, Science & Mathematics, University Textbooks, Applications & Software, Kindle eBooks, Categories, Kindle Store, Bioinformatics, Computer Science, Molecular Biology, Science & Maths, Basic Science, Professional & Technical, Format: Kindle eBook, Academic Press, 2013<

2013, ISBN: 9780124016842

A Pragmatic Approach, eBooks, eBook Download (EPUB,PDF), Auflage, [PU: Elsevier Science], [ED: 1], Elsevier Science, 2013