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Biomedical informatics

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https://www.readbyqxmd.com/read/28169935/biomedical-informatics-approaches-to-identifying-drug-drug-interactions-application-to-insulin-secretagogues
#1
Xu Han, ChienWei Chiang, Charles E Leonard, Warren B Bilker, Colleen M Brensinger, Lang Li, Sean Hennessy
BACKGROUND: Drug-drug interactions with insulin secretagogues are associated with increased risk of serious hypoglycemia in patients with type 2 diabetes. We aimed to systematically screen for drugs that interact with the five most commonly used secretagogues-glipizide, glyburide, glimepiride, repaglinide, and nateglinide-to cause serious hypoglycemia. METHODS: We screened 400 drugs frequently co-prescribed with the secretagogues as candidate interacting precipitants...
February 1, 2017: Epidemiology
https://www.readbyqxmd.com/read/28130063/effects-of-control-interventions-on-clostridium-difficile-infection-in-england-an-observational-study
#2
Kate E Dingle, Xavier Didelot, T Phuong Quan, David W Eyre, Nicole Stoesser, Tanya Golubchik, Rosalind M Harding, Daniel J Wilson, David Griffiths, Alison Vaughan, John M Finney, David H Wyllie, Sarah J Oakley, Warren N Fawley, Jane Freeman, Kirsti Morris, Jessica Martin, Philip Howard, Sherwood Gorbach, Ellie J C Goldstein, Diane M Citron, Susan Hopkins, Russell Hope, Alan P Johnson, Mark H Wilcox, Timothy E A Peto, A Sarah Walker, Derrick W Crook
BACKGROUND: The control of Clostridium difficile infections is an international clinical challenge. The incidence of C difficile in England declined by roughly 80% after 2006, following the implementation of national control policies; we tested two hypotheses to investigate their role in this decline. First, if C difficile infection declines in England were driven by reductions in use of particular antibiotics, then incidence of C difficile infections caused by resistant isolates should decline faster than that caused by susceptible isolates across multiple genotypes...
January 24, 2017: Lancet Infectious Diseases
https://www.readbyqxmd.com/read/28129750/disarticle-a-web-server-for-svm-based-discrimination-of-articles-on-traditional-medicine
#3
Sang-Kyun Kim, SeJin Nam, SangHyun Kim
BACKGROUND: Much research has been done in Northeast Asia to show the efficacy of traditional medicine. While MEDLINE contains many biomedical articles including those on traditional medicine, it does not categorize those articles by specific research area. The aim of this study was to provide a method that searches for articles only on traditional medicine in Northeast Asia, including traditional Chinese medicine, from among the articles in MEDLINE. RESULTS: This research established an SVM-based classifier model to identify articles on traditional medicine...
January 28, 2017: BMC Complementary and Alternative Medicine
https://www.readbyqxmd.com/read/28119991/research-strategies-for-biomedical-and-health-informatics-some-thought-provoking-and-critical-proposals-to-encourage-scientific-debate-on-the-nature-of-good-research-in-medical-informatics
#4
Reinhold Haux, Casimir A Kulikowski, Suzanne Bakken, Simon de Lusignan, Michio Kimura, Sabine Koch, John Mantas, Victor Maojo, Michael Marschollek, Fernando Martin-Sanchez, Anne Moen, Hyeoun-Ae Park, Indra N Sarkar, Tze Yun Leong, Alexa T McCray
BACKGROUND: Medical informatics, or biomedical and health informatics (BMHI), has become an established scientific discipline. In all such disciplines there is a certain inertia to persist in focusing on well-established research areas and to hold on to well-known research methodologies rather than adopting new ones, which may be more appropriate. OBJECTIVES: To search for answers to the following questions: What are research fields in informatics, which are not being currently adequately addressed, and which methodological approaches might be insufficiently used? Do we know about reasons? What could be consequences of change for research and for education? METHODS: Outstanding informatics scientists were invited to three panel sessions on this topic in leading international conferences (MIE 2015, Medinfo 2015, HEC 2016) in order to get their answers to these questions...
January 25, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28106578/imia-educational-recommendations-and-nursing-informatics
#5
John Mantas, Arie Hasman
The updated version of the IMIA educational recommendations has given an adequate guidelines platform for developing educational programs in Biomedical and Health Informatics at all levels of education, vocational training, and distance learning. This chapter will provide a brief introduction of the recommendations pinpointing aspects for developing and assessing educational programs. We will provide a review of the existing feedback we have acquired during the IMIA site visits of accrediting educational programs at a worldwide level and discuss implementations issues...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28068484/informatics-and-data-analytics-to-support-exposome-based-discovery-for-public-health
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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