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Sekundärnutzung klinischer Daten – Rechtliche Rahmenbedingungen

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ISBN: 9783954661428 9783954663224 Year: Language: German
Publisher: MWV Medizinisch Wissenschaftliche Verlagsgesellschaft Grant: Knowledge Unlatched - 104963
Subject: Internal medicine
Added to DOAB on : 2020-02-15 11:21:04
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Abstract

Zunehmend greift medizinische Forschung auf Daten aus der Versorgung zurück. Diese ‚Sekundärnutzung‘ von Behandlungsdaten bringt jedoch zahlreiche Rechtsfragen mit sich. Sozial- und Gesundheitsdaten gehören zu den intimsten Informationen über einen Menschen. Mit dem vorliegenden Rechtsgutachten steht erstmals eine detaillierte Übersicht über die spezifischen rechtlichen Rahmenbedingungen für die Sekundärnutzung medizinischer Daten in den einzelnen Bundesländern zur Verfügung, die auch jeweils die unterschiedliche Trägerschaft und Rechtsform der behandelnden Institution berücksichtigt. Die Analyse gibt Forschern und anderen Akteuren im Gesundheitsbereich Orientierung beim rechtskonformen Umgang mit medizinischen Behandlungsdaten. Das Buch enthält darüber hinaus ein ergänzendes Gutachten, das die rechtlichen Rahmenbedingungen für die Sekundärnutzung der über die elektronische Gesundheitskarte nach § 291a SGB V verwalteten Daten darstellt.

Systems Analytics and Integration of Big Omics Data

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ISBN: 9783039287444 / 9783039287451 Year: Pages: 202 DOI: 10.3390/books978-3-03928-745-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2020-06-09 16:38:57
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A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Keywords

tissue-specific expressed genes --- transcriptome --- tissue classification --- support vector machine --- feature selection --- bioinformatics pipelines --- algorithm development for network integration --- miRNA–gene expression networks --- multiomics integration --- network topology analysis --- candidate genes --- gene–environment interactions --- logic forest --- systemic lupus erythematosus --- Gene Ontology --- KEGG pathways --- enrichment analysis --- proteomic analysis --- plot visualization --- Alzheimer’s disease --- dementia --- cognitive impairment --- neurodegeneration --- Gene Ontology --- annotation --- biocuration --- amyloid-beta --- microtubule-associated protein tau --- artificial intelligence --- genotype --- phenotype --- deep phenotype --- data integration --- genomics --- phenomics --- precision medicine informatics --- epigenetics --- chromatin modification --- sequencing --- regulatory genomics --- disease variants --- machine learning --- multi-omics --- data integration --- curse of dimensionality --- heterogeneous data --- missing data --- class imbalance --- scalability --- genomics --- pharmacogenomics --- cell lines --- database --- drug sensitivity --- data integration --- omics data --- genomics --- RNA expression --- non-omics data --- clinical data --- epidemiological data --- challenges --- integrative analytics --- joint modeling --- multivariate analysis --- multivariate causal mediation --- distance correlation --- direct effect --- indirect effect --- causal inference --- n/a

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