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https://www.readbyqxmd.com/read/28068484/informatics-and-data-analytics-to-support-exposome-based-discovery-for-public-health
#1
Arjun K Manrai, Yuxia Cui, Pierre R Bushel, Molly Hall, Spyros Karakitsios, Carolyn J Mattingly, Marylyn Ritchie, Charles Schmitt, Denis A Sarigiannis, Duncan C Thomas, David Wishart, David M Balshaw, Chirag J Patel
The complexity of the human exposome-the totality of environmental exposures encountered from birth to death-motivates systematic, high-throughput approaches to discover the environmental determinants of disease. In this review, we describe the state of science in analyzing the human exposome and provide recommendations for the public health community to consider in dealing with analytic challenges of exposome-based biomedical research. We describe extant and novel analytic methods needed to associate the exposome with critical health outcomes and contextualize the data-centered challenges by drawing parallels to other research endeavors such as human genomics research...
December 23, 2016: Annual Review of Public Health
https://www.readbyqxmd.com/read/28057335/big-data-science-a-literature-review-of-nursing-research-exemplars
#2
Bonnie L Westra, Martha Sylvia, Elizabeth F Weinfurter, Lisiane Pruinelli, Jung In Park, Dianna Dodd, Gail M Keenan, Patricia Senk, Rachel L Richesson, Vicki Baukner, Christopher Cruz, Grace Gao, Luann Whittenburg, Connie W Delaney
BACKGROUND: Big data and cutting-edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge. PURPOSE: The purpose of this study was to identify, analyze, and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals. METHODS: A literature review of studies published between 2009 and 2015...
December 8, 2016: Nursing Outlook
https://www.readbyqxmd.com/read/28047995/tu-fg-206-00-imaging-informatics
#3
Paul Nagy
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047914/tu-fg-206-03-imaging-informatics-for-the-medical-physicist
#4
P Nagy
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047330/tu-fg-206-01-standards-support-for-color-in-medical-imaging
#5
M Flynn
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046662/tu-fg-206-02-medical-physics-imaging-informatics-in-the-classroom-and-in-practice
#6
W Sensakovic
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28031037/tesa-a-distributional-measure-for-calculating-semantic-relatedness
#7
Maciej Rybinski, José Francisco Aldana-Montes
BACKGROUND: Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating semantic relatedness between texts and concepts represented by these texts is an important part of many text and knowledge processing tasks of crucial importance in the ever growing domain of biomedical informatics. The problem of most state-of-the-art methods for calculating semantic relatedness is their dependence on highly specialized, structured knowledge resources, which makes these methods poorly adaptable for many usage scenarios...
December 28, 2016: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/28028203/development-of-a-pediatric-adverse-events-terminology
#8
Debbie S Gipson, Eric S Kirkendall, Brenda Gumbs-Petty, Theresa Quinn, A Steen, Amanda Hicks, Ann McMahon, Savian Nicholas, Anna Zhao-Wong, Perdita Taylor-Zapata, Mark Turner, Emily Herreshoff, Charlotte Jones, Jonathan M Davis, Margaret Haber, Steven Hirschfeld
In 2009, the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) established the Pediatric Terminology Harmonization Initiative to establish a core library of terms to facilitate the acquisition and sharing of knowledge between pediatric clinical research, practice, and safety reporting. A coalition of partners established a Pediatric Terminology Adverse Event Working Group in 2013 to develop a specific terminology relevant to international pediatric adverse event (AE) reporting...
January 2017: Pediatrics
https://www.readbyqxmd.com/read/27995389/equipping-physiologists-with-an-informatics-tool-chest-toward-an-integerated-mitochondrial-phenome
#9
Anders Olav Garlid, Jennifer S Polson, Keith D Garlid, Henning Hermjakob, Peipei Ping
Understanding the complex involvement of mitochondrial biology in disease development often requires the acquisition, analysis, and integration of large-scale molecular and phenotypic data. An increasing number of bioinformatics tools are currently employed to aid in mitochondrial investigations, most notably in predicting or corroborating the spatial and temporal dynamics of mitochondrial molecules, in retrieving structural data of mitochondrial components, and in aggregating as well as transforming mitochondrial centric biomedical knowledge...
December 20, 2016: Handbook of Experimental Pharmacology
https://www.readbyqxmd.com/read/27975279/an-introduction-to-proteome-bioinformatics
#10
Shivakumar Keerthikumar
High-throughput techniques are indispensable for aiding basic and translational research. Among them, recent advances in proteomics techniques have allowed biomedical researchers to characterize the proteome of multiple organisms. This remarkable advancement have been well complemented by proteome bioinformatics methods and tools. Proteome bioinformatics refers to the study and application of informatics in the field of proteomics. This chapter provides an overview of computational strategies, methods, and techniques reported in this book for bioinformatics analysis of protein data...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27919732/learning-from-heterogeneous-temporal-data-in-electronic-health-records
#11
Jing Zhao, Panagiotis Papapetrou, Lars Asker, Henrik Boström
Electronic health records contain large amounts of longitudinal data that are valuable for biomedical informatics research. The application of machine learning is a promising alternative to manual analysis of such data. However, the complex structure of the data, which includes clinical events that are unevenly distributed over time, poses a challenge for standard learning algorithms. Some approaches to modeling temporal data rely on extracting single values from time series; however, this leads to the loss of potentially valuable sequential information...
December 2, 2016: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/27913029/pharmacovigilance-and-biomedical-informatics-a-model-for-future-development
#12
Paul Beninger, Michael A Ibara
PURPOSE: The discipline of pharmacovigilance is rooted in the aftermath of the thalidomide tragedy of 1961. It has evolved as a result of collaborative efforts by many individuals and organizations, including physicians, patients, Health Authorities, universities, industry, the World Health Organization, the Council for International Organizations of Medical Sciences, and the International Conference on Harmonisation. Biomedical informatics is rooted in technologically based methodologies and has evolved at the speed of computer technology...
December 2016: Clinical Therapeutics
https://www.readbyqxmd.com/read/27896988/precision-medicine-data-and-discovery-for-improved-health-and-therapy
#13
Alexander A Morgan, Dana C Crawford, Josh C Denny, Sean D Mooney, Bruce J Aronow, Steven E Brenner
The major goal of precision medicine is to improve human health. A feature that unites much research in the field is the use of large datasets such as genomic data and electronic health records. Research in this field includes examination of variation in the core bases of DNA and their methylation status, through variations in metabolic and signaling molecules, all the way up to broader systems level changes in physiology and disease presentation. Intermediate goals include understanding the individual drivers of disease that differentiate the cause of disease in each individual...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27881428/genome-transcriptome-and-proteome-the-rise-of-omics-data-and-their-integration-in-biomedical-sciences
#14
Claudia Manzoni, Demis A Kia, Jana Vandrovcova, John Hardy, Nicholas W Wood, Patrick A Lewis, Raffaele Ferrari
Advances in the technologies and informatics used to generate and process large biological data sets (omics data) are promoting a critical shift in the study of biomedical sciences. While genomics, transcriptomics and proteinomics, coupled with bioinformatics and biostatistics, are gaining momentum, they are still, for the most part, assessed individually with distinct approaches generating monothematic rather than integrated knowledge. As other areas of biomedical sciences, including metabolomics, epigenomics and pharmacogenomics, are moving towards the omics scale, we are witnessing the rise of inter-disciplinary data integration strategies to support a better understanding of biological systems and eventually the development of successful precision medicine...
November 22, 2016: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/27830261/nursing-informatics-certification-worldwide-history-pathway-roles-and-motivation
#15
Mollie R Cummins, Adi V Gundlapalli, Aditya V Gundlapalli, Peter Murray, Hyeoun-Ae Park, Christoph U Lehmann
INTRODUCTION: Official recognition and certification for informatics professionals are essential aspects of workforce development. OBJECTIVE: To describe the history, pathways, and nuances of certification in nursing informatics across the globe; compare and contrast those with board certification in clinical informatics for physicians. METHODS: (1) A review of the representative literature on informatics certification and related competencies for nurses and physicians, and relevant websites for nursing informatics associations and societies worldwide; (2) similarities and differences between certification processes for nurses and physicians, and (3) perspectives on roles for nursing informatics professionals in healthcare Results: The literature search for 'nursing informatics certification' yielded few results in PubMed; Google Scholar yielded a large number of citations that extended to magazines and other non-peer reviewed sources...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27810480/evaluation-of-relational-and-nosql-database-architectures-to-manage-genomic-annotations
#16
Wade L Schulz, Brent G Nelson, Donn K Felker, Thomas J S Durant, Richard Torres
While the adoption of next generation sequencing has rapidly expanded, the informatics infrastructure used to manage the data generated by this technology has not kept pace. Historically, relational databases have provided much of the framework for data storage and retrieval. Newer technologies based on NoSQL architectures may provide significant advantages in storage and query efficiency, thereby reducing the cost of data management. But their relative advantage when applied to biomedical data sets, such as genetic data, has not been characterized...
December 2016: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/27807753/network-based-biomedical-data-analysis
#17
Yuxin Lin, Xuye Yuan, Bairong Shen
Complex diseases are caused by disorders of both internal and external factors, and they account for a large proportion of human diseases. They are multigenetic and rarely a consequence of the dysfunction of single molecules. Systems biology views the living organism as an organic network. Compared with reductionism-based viewpoints, systems biology pays more attention to the interactions among molecules located at different omics levels. Based on this theory, the concepts of network biomarkers and network medicine have been proposed sequentially, which integrate clinical data with knowledge of network sciences, thereby promoting the investigation of disease pathogenesis in the era of biomedical informatics...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27807750/biobanks-and-their-clinical-application-and-informatics-challenges
#18
Lan Yang, Yalan Chen, Chunjiang Yu, Bairong Shen
Biobanks are one of the most important biomedical research resources and contribute to the development of biomarker detection, molecular diagnosis, translational medicine, and multidisciplinary disease research, as well as studies of interactions between genetic and environmental or lifestyle factors. Aiming for the wide clinical application of biobanks, biobanking efforts have recently switched from a focus on accumulating samples to both formalizing and sustaining collections in light of the rapid progress in the fields of personalized medicine and bioinformatics analysis...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27807745/informatics-for-metabolomics
#19
Kanthida Kusonmano, Wanwipa Vongsangnak, Pramote Chumnanpuen
Metabolome profiling of biological systems has the powerful ability to provide the biological understanding of their metabolic functional states responding to the environmental factors or other perturbations. Tons of accumulative metabolomics data have thus been established since pre-metabolomics era. This is directly influenced by the high-throughput analytical techniques, especially mass spectrometry (MS)- and nuclear magnetic resonance (NMR)-based techniques. Continuously, the significant numbers of informatics techniques for data processing, statistical analysis, and data mining have been developed...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27782291/person-generated-data-in-self-quantification-a-health-informatics-research-program
#20
Kathleen Gray, Fernando J Martin-Sanchez, Guillermo H Lopez-Campos, Manal Almalki, Mark Merolli
OBJECTIVES: The availability of internet-connected mobile, wearable and ambient consumer technologies, direct-to-consumer e-services and peer-to-peer social media sites far outstrips evidence about the efficiency, effectiveness and efficacy of using them in healthcare applications. The aim of this paper is to describe one approach to build a program of health informatics research, so as to generate rich and robust evidence about health data and information processing in self-quantification and associated healthcare and health outcomes...
October 26, 2016: Methods of Information in Medicine
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