keyword
MENU ▼
Read by QxMD icon Read
search

Biomedical informatics

keyword
https://www.readbyqxmd.com/read/28400991/computer-science-biology-and-biomedical-informatics-academy-outcomes-from-5-years-of-immersing-high-school-students-into-informatics-research
#1
EDITORIAL
Andrew J King, Arielle M Fisher, Michael J Becich, David N Boone
The University of Pittsburgh's Department of Biomedical Informatics and Division of Pathology Informatics created a Science, Technology, Engineering, and Mathematics (STEM) pipeline in 2011 dedicated to providing cutting-edge informatics research and career preparatory experiences to a diverse group of highly motivated high-school students. In this third editorial installment describing the program, we provide a brief overview of the pipeline, report on achievements of the past scholars, and present results from self-reported assessments by the 2015 cohort of scholars...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28388645/combining-clinical-and-genomics-queries-using-i2b2-three-methods
#2
Shawn N Murphy, Paul Avillach, Riccardo Bellazzi, Lori Phillips, Matteo Gabetta, Alal Eran, Michael T McDuffie, Isaac S Kohane
We are fortunate to be living in an era of twin biomedical data surges: a burgeoning representation of human phenotypes in the medical records of our healthcare systems, and high-throughput sequencing making rapid technological advances. The difficulty representing genomic data and its annotations has almost by itself led to the recognition of a biomedical "Big Data" challenge, and the complexity of healthcare data only compounds the problem to the point that coherent representation of both systems on the same platform seems insuperably difficult...
2017: PloS One
https://www.readbyqxmd.com/read/28365740/effective-biomedical-document-classification-for-identifying-publications-relevant-to-the-mouse-gene-expression-database-gxd
#3
Xiangying Jiang, Martin Ringwald, Judith Blake, Hagit Shatkay
The Gene Expression Database (GXD) is a comprehensive online database within the Mouse Genome Informatics resource, aiming to provide available information about endogenous gene expression during mouse development. The information stems primarily from many thousands of biomedical publications that database curators must go through and read. Given the very large number of biomedical papers published each year, automatic document classification plays an important role in biomedical research. Specifically, an effective and efficient document classifier is needed for supporting the GXD annotation workflow...
January 1, 2017: Database: the Journal of Biological Databases and Curation
https://www.readbyqxmd.com/read/28361731/health-information-technology-as-a-universal-donor-to-bioethics-education
#4
Kenneth W Goodman
Health information technology, sometimes called biomedical informatics, is the use of computers and networks in the health professions. This technology has become widespread, from electronic health records to decision support tools to patient access through personal health records. These computational and information-based tools have engendered their own ethics literature and now present an opportunity to shape the standard medical and nursing ethics curricula. It is suggested that each of four core components in the professional education of clinicians-privacy, end-of-life care, access to healthcare and valid consent, and clinician-patient communication-offers an opportunity to leverage health information technology for curricular improvement...
April 2017: Cambridge Quarterly of Healthcare Ethics: CQ: the International Journal of Healthcare Ethics Committees
https://www.readbyqxmd.com/read/28338350/consensus-driven-development-of-a-terminology-for-biobanking-the-duke-experience
#5
Helena Ellis, Mary-Beth Joshi, Aenoch J Lynn, Anita Walden
Biobanking at Duke University has existed for decades and has grown over time in silos and based on specialized needs, as is true with most biomedical research centers. These silos developed informatics systems to support their own individual requirements, with no regard for semantic or syntactic interoperability. Duke undertook an initiative to implement an enterprise-wide biobanking information system to serve its many diverse biobanking entities. A significant part of this initiative was the development of a common terminology for use in the commercial software platform...
April 2017: Biopreservation and Biobanking
https://www.readbyqxmd.com/read/28272648/on-teaching-international-courses-on-health-information-systems-lessons-learned-during-16-years-of-frank-van-swieten-lectures-on-strategic-information-management-in-health-information-systems
#6
Elske Ammenwerth, Petra Knaup, Alfred Winter, Axel W Bauer, Oliver J Bott, Matthias Gietzelt, Birger Haarbrandt, Werner O Hackl, Nils Hellrung, Gudrun Hübner-Bloder, Franziska Jahn, Monique W Jaspers, Ulrike Kutscha, Christoph Machan, Bianca Oppermann, Jochen Pilz, Jonas Schwartze, Christoph Seidel, Jan-Eric Slot, Stefan Smers, Katharina Spitalewsky, Nathalie Steckel, Alexander Strübing, Minne van der Haak, Reinhold Haux, Willem J Ter Burg
BACKGROUND: Health information systems (HIS) are one of the most important areas for biomedical and health informatics. In order to professionally deal with HIS well-educated informaticians are needed. Because of these reasons, in 2001 an international course has been established: The Frank - van Swieten Lectures on Strategic Information Management of Health Information Systems. OBJECTIVES: Reporting about the Frank - van Swieten Lectures and about our students' feedback on this course during the last 16 years...
March 8, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28269167/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#7
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268856/covariance-based-outlier-detection-with-feature-selection
#8
Chris E Zwilling, Michelle Y Wang
The present covariance based outlier detection algorithm selects from a candidate set of feature vectors that are best at identifying outliers. Features extracted from biomedical and health informatics data can be more informative in disease assessment and there are no restrictions on the nature and number of features that can be tested. But an important challenge for an algorithm operating on a set of features is for it to winnow the effective features from the ineffective ones. The powerful algorithm described in this paper leverages covariance information from the time series data to identify features with the highest sensitivity for outlier identification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28246526/biomedical-informatics-with-optimization-and-machine-learning
#9
EDITORIAL
Shuai Huang, Jiayu Zhou, Zhangyang Wang, Qing Ling, Yang Shen
No abstract text is available yet for this article.
December 2017: EURASIP Journal on Bioinformatics & Systems Biology
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#10
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227054/covariance-based-outlier-detection-with-feature-selection
#11
Chris E Zwilling, Michelle Y Wang, Chris E Zwilling, Michelle Y Wang, Chris E Zwilling, Michelle Y Wang
The present covariance based outlier detection algorithm selects from a candidate set of feature vectors that are best at identifying outliers. Features extracted from biomedical and health informatics data can be more informative in disease assessment and there are no restrictions on the nature and number of features that can be tested. But an important challenge for an algorithm operating on a set of features is for it to winnow the effective features from the ineffective ones. The powerful algorithm described in this paper leverages covariance information from the time series data to identify features with the highest sensitivity for outlier identification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28169935/biomedical-informatics-approaches-to-identifying-drug-drug-interactions-application-to-insulin-secretagogues
#12
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 coprescribed with the secretagogues as candidate interacting precipitants...
May 2017: Epidemiology
https://www.readbyqxmd.com/read/28130063/effects-of-control-interventions-on-clostridium-difficile-infection-in-england-an-observational-study
#13
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...
April 2017: Lancet Infectious Diseases
https://www.readbyqxmd.com/read/28129750/disarticle-a-web-server-for-svm-based-discrimination-of-articles-on-traditional-medicine
#14
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
#15
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
#16
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
#17
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 new 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...
March 20, 2017: Annual Review of Public Health
https://www.readbyqxmd.com/read/28057335/big-data-science-a-literature-review-of-nursing-research-exemplars
#18
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
#19
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
#20
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
keyword
keyword
2555
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"