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Biomedical informatics

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https://www.readbyqxmd.com/read/29118849/examining-the-need-potential-for-biomedical-engineering-to-strengthen-health-care-delivery-for-displaced-populations-victims-of-conflict
#1
Devika Nadkarni, Imad Elhajj, Zaher Dawy, Hala Ghattas, Muhammad H Zaman
Conflict and the subsequent displacement of populations creates unique challenges in the delivery of quality health care to the affected population. Equitable access to quality care demands a multi-pronged strategy with a growing need, and role, for technological innovation to address these challenges. While there have been significant contributions towards alleviating the burden of conflict via data informatics and analytics, communication technology, and geographic information systems, little has been done within biomedical engineering...
2017: Conflict and Health
https://www.readbyqxmd.com/read/29114113/managing-information-in-health-informatics
#2
REVIEW
Rodolfo A Fiorini, Izet Masic
Only once we agree upon our understanding of what words really mean can we debate whether a concept, represented by those words, is or not well represented significantly in specific application. Conceptual clarity and predicative/impredicative competence are the fundamental components for managing information more effectively in Health Informatics, Healthcare and Medicine applications, while promoting innovation and creativity. Medicine was always the art and science of healing. The science became more and more a mechanistic technology in Healthcare; the art was dropped altogether...
September 2017: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/29092930/developing-cancer-informatics-applications-and-tools-using-the-nci-genomic-data-commons-api
#3
Shane Wilson, Michael Fitzsimons, Martin Ferguson, Allison Heath, Mark Jensen, Josh Miller, Mark W Murphy, James Porter, Himanso Sahni, Louis Staudt, Yajing Tang, Zhining Wang, Christine Yu, Junjun Zhang, Vincent Ferretti, Robert L Grossman
The NCI Genomic Data Commons (GDC) was launched in 2016 and makes available over 4 petabytes (PB) of cancer genomic and associated clinical data to the research community. This dataset continues to grow and currently includes over 14,500 patients. The GDC is an example of a biomedical data commons, which collocates biomedical data with storage and computing infrastructure and commonly used web services, software applications, and tools to create a secure, interoperable, and extensible resource for researchers...
November 1, 2017: Cancer Research
https://www.readbyqxmd.com/read/29084368/electronic-health-record-phenotypes-for-precision-medicine-perspectives-and-caveats-from-treatment-of-breast-cancer-at-a-single-institution
#4
Matthew K Breitenstein, Hongfang Liu, Kara N Maxwell, Jyotishman Pathak, Rui Zhang
Precision medicine is at the forefront of biomedical research. Cancer registries provide rich perspectives and electronic health record(EHR)s are commonly utilized to gather additional clinical data elements needed for translational research. However, manual annotation is resource-intense and not readily scalable. Informatics-based phenotyping presents an ideal solution, but perspectives obtained can be impacted by both data source and algorithm selection. We derived breast cancer(BC) receptor status phenotypes from structured and unstructured EHR data using rule-based algorithms, including natural language processing(NLP)...
October 30, 2017: Clinical and Translational Science
https://www.readbyqxmd.com/read/29074071/data-acquisition-workflows-in-liquid-chromatography-coupled-to-high-resolution-mass-spectrometry-based-metabolomics-where-do-we-stand
#5
REVIEW
François Fenaille, Pierre Barbier Saint-Hilaire, Kathleen Rousseau, Christophe Junot
Typical mass spectrometry (MS) based untargeted metabolomics protocols are tedious as well as time- and sample-consuming. In particular, they often rely on "full-scan-only" analyses using liquid chromatography (LC) coupled to high resolution mass spectrometry (HRMS) from which metabolites of interest are first highlighted, and then tentatively identified by using targeted MS/MS experiments. However, this situation is evolving with the emergence of integrated HRMS based-data acquisition protocols able to perform multi-event acquisitions...
December 1, 2017: Journal of Chromatography. A
https://www.readbyqxmd.com/read/29063556/knowledge-representation-and-management-it-s-time-to-integrate
#6
F Dhombres, J Charlet
Objectives: To select, present, and summarize the best papers published in 2016 in the field of Knowledge Representation and Management (KRM). Methods: A comprehensive and standardized review of the medical informatics literature was performed based on a PubMed query. Results: Among the 1,421 retrieved papers, the review process resulted in the selection of four best papers focused on the integration of heterogeneous data via the development and the alignment of terminological resources. In the first article, the authors provide a curated and standardized version of the publicly available US FDA Adverse Event Reporting System...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/29063540/findings-from-the-2017-yearbook-section-on-health-information-management
#7
M Bloomrosen, E S Berner
Objectives: To summarize the recent literature and research and present a selection of the best papers published in 2016 in the field of Health Information Management (HIM). Methods: A systematic review of the literature for the IMIA Yearbook HIM section was performed by the two section editors with the help of a medical librarian. We searched bibliographic databases for HIM-related papers were searched using both MeSH headings and key words in titles and abstracts. A shortlist of candidate best papers was first selected by section editors before being peer-reviewed by independent external reviewers...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/29063539/findings-from-the-2017-yearbook-section-on-health-information-management
#8
M Bloomrosen, E S Berner
Objectives: To summarize the recent literature and research and present a selection of the best papers published in 2016 in the field of Health Information Management (HIM). Methods: A systematic review of the literature for the IMIA Yearbook HIM section was performed by the two section editors with the help of a medical librarian. We searched bibliographic databases for HIM-related papers were searched using both MeSH headings and key words in titles and abstracts. A shortlist of candidate best papers was first selected by section editors before being peer-reviewed by independent external reviewers...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/29060435/symptom-based-data-preprocessing-for-the-detection-of-disease-outbreak
#9
Khanita Duangchaemkarn, Varin Chaovatut, Phongtape Wiwatanadate, Ekkarat Boonchieng
Early warning systems for outbreak detection is a challenge topic for researchers in the epidemiology and biomedical informatics fields. We are proposing a new method for detecting disease epidemics using a symptom-based approach. The data was collected from developed mobile applications which include users' demographic information and a list of chief complaint symptoms. Deliberated outbreaks are differentiated from seasonal outbreak by specific symptoms that represent a sign of infection. These symptoms were grouped, classified, and then converted to a time-series digital signal using the consensus scoring approach...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29042394/effects-of-e-learning-in-a-continuing-education-context-on-nursing-care-a-review-of-systematic-qualitative-quantitative-and-mixed-studies-reviews-protocol
#10
Geneviève Rouleau, Marie-Pierre Gagnon, José Côté, Julie Payne-Gagnon, Emilie Hudson, Julien Bouix-Picasso, Carl-Ardy Dubois
INTRODUCTION: Continuing education (CE) is imperative to the future of professional nursing. The use of e-learning by registered nurses for CE is spreading. A review of systematic reviews will be conducted to develop a broad picture of the effects of e-learning in a CE context on nursing care. METHODS AND ANALYSIS: Systematic qualitative, quantitative and mixed studies reviews published in English, French or Spanish from 1 January 2006 will be included. The outcomes of interest will be extracted and analysed inductively and deductively from the Nursing Care Performance Framework; some themes include nursing resources, nurses' practice environment, processes, professional satisfaction, and nursing sensitive outcomes...
October 16, 2017: BMJ Open
https://www.readbyqxmd.com/read/29040596/high-fidelity-phenotyping-richness-and-freedom-from-bias
#11
George Hripcsak, David J Albers
Electronic health record phenotyping is the use of raw electronic health record data to assert characterizations about patients. Researchers have been doing it since the beginning of biomedical informatics, under different names. Phenotyping will benefit from an increasing focus on fidelity, both in the sense of increasing richness, such as measured levels, degree or severity, timing, probability, or conceptual relationships, and in the sense of reducing bias. Research agendas should shift from merely improving binary assignment to studying and improving richer representations...
October 12, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29031404/machine-learning-methods-and-systems-for-data-driven-discovery-in-biomedical-informatics
#12
EDITORIAL
Sungroh Yoon, Seunghak Lee, Wei Wang
No abstract text is available yet for this article.
October 1, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/29029688/subject-enabled-analytics-model-on-measurement-statistics-in-health-risk-expert-system-for-public-health-informatics
#13
Chi-Jung Chung, Yu-Chen Kuo, Yun-Yu Hsieh, Tsai-Chung Li, Cheng-Chieh Lin, Wen-Miin Liang, Li-Na Liao, Chia-Ing Li, Hsueh-Chun Lin
PURPOSE: This study applied open source technology to establish a subject-enabled analytics model that can enhance measurement statistics of case studies with the public health data in cloud computing. METHODS: The infrastructure of the proposed model comprises three domains: 1) the health measurement data warehouse (HMDW) for the case study repository, 2) the self-developed modules of online health risk information statistics (HRIStat) for cloud computing, and 3) the prototype of a Web-based process automation system in statistics (PASIS) for the health risk assessment of case studies with subject-enabled evaluation...
November 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29016974/blockchain-distributed-ledger-technologies-for-biomedical-and-health-care-applications
#14
Tsung-Ting Kuo, Hyeon-Eui Kim, Lucila Ohno-Machado
Objectives: To introduce blockchain technologies, including their benefits, pitfalls, and the latest applications, to the biomedical and health care domains. Target Audience: Biomedical and health care informatics researchers who would like to learn about blockchain technologies and their applications in the biomedical/health care domains. Scope: The covered topics include: (1) introduction to the famous Bitcoin crypto-currency and the underlying blockchain technology; (2) features of blockchain; (3) review of alternative blockchain technologies; (4) emerging nonfinancial distributed ledger technologies and applications; (5) benefits of blockchain for biomedical/health care applications when compared to traditional distributed databases; (6) overview of the latest biomedical/health care applications of blockchain technologies; and (7) discussion of the potential challenges and proposed solutions of adopting blockchain technologies in biomedical/health care domains...
November 1, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28984207/the-international-conference-on-intelligent-biology-and-medicine-icibm-2016-summary-and-innovation-in-genomics
#15
EDITORIAL
Zhongming Zhao, Zhandong Liu, Ken Chen, Yan Guo, Genevera I Allen, Jiajie Zhang, W Jim Zheng, Jianhua Ruan
In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) that was held on December 8-10, 2016 in Houston, Texas, USA, and then briefly introduce the ten research articles included in this supplement issue. ICIBM 2016 included four workshops or tutorials, four keynote lectures, four conference invited talks, eight concurrent scientific sessions and a poster session for 53 accepted abstracts, covering current topics in bioinformatics, systems biology, intelligent computing, and biomedical informatics...
October 3, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28968677/big-data-management-challenges-in-health-research-a-literature-review
#16
Xiaoming Wang, Carolyn Williams, Zhen Hua Liu, Joe Croghan
Big data management for information centralization (i.e. making data of interest findable) and integration (i.e. making related data connectable) in health research is a defining challenge in biomedical informatics. While essential to create a foundation for knowledge discovery, optimized solutions to deliver high-quality and easy-to-use information resources are not thoroughly explored. In this review, we identify the gaps between current data management approaches and the need for new capacity to manage big data generated in advanced health research...
August 7, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28943731/multi-source-multi-target-dictionary-learning-for-prediction-of-cognitive-decline
#17
Jie Zhang, Qingyang Li, Richard J Caselli, Paul M Thompson, Jieping Ye, Yalin Wang
Alzheimer's Disease (AD) is the most common type of dementia. Identifying correct biomarkers may determine pre-symptomatic AD subjects and enable early intervention. Recently, Multi-task sparse feature learning has been successfully applied to many computer vision and biomedical informatics researches. It aims to improve the generalization performance by exploiting the shared features among different tasks. However, most of the existing algorithms are formulated as a supervised learning scheme. Its drawback is with either insufficient feature numbers or missing label information...
June 2017: Information Processing in Medical Imaging: Proceedings of the ... Conference
https://www.readbyqxmd.com/read/28938235/re-biomedical-informatics-approaches-to-identifying-drug-drug-interactions-application-to-insulin-secretagogues
#18
Adrian Root, Ian Douglas, Stephen Evans
No abstract text is available yet for this article.
September 21, 2017: Epidemiology
https://www.readbyqxmd.com/read/28916926/informatics-for-precision-medicine-and-healthcare
#19
Jiajia Chen, Yuxin Lin, Bairong Shen
The past decade has witnessed great advances in biomedical informatics. Biomedical informatics is an emerging field of healthcare that aims to translate the laboratory observation into clinical practice. Smart healthcare has also developed rapidly with ubiquitous sensor and communication technologies. It is able to capture the online patient-centric phenotypic variables, thus providing a rich information base for translational biomedical informatics. Biomedical informatics and smart healthcare represent two interrelated disciplines...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/28912709/extending-xnat-platform-with-an-incremental-semantic-framework
#20
Santiago Timón, Mariano Rincón, Rafael Martínez-Tomás
Informatics increases the yield from neuroscience due to improved data. Data sharing and accessibility enable joint efforts between different research groups, as well as replication studies, pivotal for progress in the field. Research data archiving solutions are evolving rapidly to address these necessities, however, distributed data integration is still difficult because of the need of explicit agreements for disparate data models. To address these problems, ontologies are widely used in biomedical research to obtain common vocabularies and logical descriptions, but its application may suffer from scalability issues, domain bias, and loss of low-level data access...
2017: Frontiers in Neuroinformatics
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