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https://www.readbyqxmd.com/read/28235751/online-dissemination-strategies-of-a-canada-research-chair-overview-and-lessons-learned
#1
Jessica Hébert, Hubert Robitaille, Stéphane Turcotte, France Légaré
BACKGROUND: Little is known about the use of online dissemination strategies, such as websites and social media, to increase the visibility and uptake of research. OBJECTIVE: To describe two online dissemination strategies of the Canada Research Chair in Implementation of Shared Decision Making in Primary Care over an eight-year period. METHODS: Our two sources of online dissemination data were the website of the Canada Research Chair in Implementation of Shared Decision Making in Primary Care and the Chair's Twitter account...
February 24, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28227971/a-feature-exploration-methodology-for-learning-based-cuffless-blood-pressure-measurement-using-photoplethysmography
#2
Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Zhiliang Qian, Kefeng Duan, Guoxing Wang, Mohamed Atef
In this work, we propose a feature exploration method for learning-based cuffless blood pressure measurement. More specifically, to efficiently explore a large feature space from the photoplethysmography signal, we have applied several analytical techniques, including random error elimination, adaptive outlier removal, maximum information coefficient and Pearson's correlation coefficient based feature assessment methods. We evaluate fifty-seven possible feature candidates and propose three separate feature sets with each containing eleven features to predict the systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean blood pressure (MBP), respectively...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227050/distance-metric-learning-using-random-forest-for-cytometry-data
#3
M Baran Pouyan, J Birjandtalab, M Nourani, M Baran Pouyan, J Birjandtalab, M Nourani, M Baran Pouyan, J Birjandtalab, M Nourani
Visualization and clustering of single-cell mass cytometry (CyTOF) data are analytic techniques to identify different cell types. Most of such techniques, such as Euclidean norm, lose their effectiveness when the data dimension increases due to the curse of dimensionality. In this paper, we propose a new cell distance (called CytoRFD) that works based on Random Forest (RF) concept. The experimental results show that the proposed distance can achieve a much higher quality and effectiveness in large data analysis than traditional metrics specially for CyTOF data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227039/amp-a-platform-for-managing-and-mining-data-in-the-treatment-of-autism-spectrum-disorder
#4
Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler, Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler, Erik Linstead, Duy Nguyen, Ryan Burns, David Tyler
We introduce AMP (Autism Management Platform), an integrated health care information system for capturing, analyzing, and managing data associated with the diagnosis and treatment of Autism Spectrum Disorder in children. AMP's mobile application simplifies the means by which parents, guardians, and clinicians can collect and share multimedia data with one another, facilitating communication and reducing data redundancy, while simplifying retrieval. Additionally, AMP provides an intelligent web interface and analytics platform which allow physicians and specialists to aggregate and mine patient data in real-time, as well as give relevant feedback to automatically learn data filtering preferences over time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227036/using-i2b2-to-bootstrap-rural-health-analytics-and-learning-networks
#5
Daniel R Harris, Adam D Baus, Tamela J Harper, Traci D Jarrett, Cecil R Pollard, Jeffery C Talbert, Daniel R Harris, Adam D Baus, Tamela J Harper, Traci D Jarrett, Cecil R Pollard, Jeffery C Talbert, Jeffery C Talbert, Daniel R Harris, Traci D Jarrett, Tamela J Harper, Adam D Baus, Cecil R Pollard
We demonstrate that the open-source i2b2 (Informatics for Integrating Biology and the Bedside) data model can be used to bootstrap rural health analytics and learning networks. These networks promote communication and research initiatives by providing the infrastructure necessary for sharing data and insights across a group of healthcare and research partners. Data integration remains a crucial challenge in connecting rural healthcare sites with a common data sharing and learning network due to the lack of interoperability and standards within electronic health records...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28222736/implementing-guidelines-and-training-initiatives-to-improve-cross-cultural-communication-in-primary-care-consultations-a-qualitative-participatory-european-study
#6
E Teunissen, K Gravenhorst, C Dowrick, E Van Weel-Baumgarten, F Van den Driessen Mareeuw, T de Brún, N Burns, C Lionis, F S Mair, C O'Donnell, M O'Reilly-de Brún, M Papadakaki, A Saridaki, W Spiegel, C Van Weel, M Van den Muijsenbergh, A MacFarlane
BACKGROUND: Cross-cultural communication in primary care is often difficult, leading to unsatisfactory, substandard care. Supportive evidence-based guidelines and training initiatives (G/TIs) exist to enhance cross cultural communication but their use in practice is sporadic. The objective of this paper is to elucidate how migrants and other stakeholders can adapt, introduce and evaluate such G/TIs in daily clinical practice. METHODS: We undertook linked qualitative case studies to implement G/TIs focused on enhancing cross cultural communication in primary care, in five European countries...
February 10, 2017: International Journal for Equity in Health
https://www.readbyqxmd.com/read/28208697/hybrid-analytical-and-data-driven-modeling-for-feed-forward-robot-control-%C3%A2
#7
René Felix Reinhart, Zeeshan Shareef, Jochen Jakob Steil
Feed-forward model-based control relies on models of the controlled plant, e.g., in robotics on accurate knowledge of manipulator kinematics or dynamics. However, mechanical and analytical models do not capture all aspects of a plant's intrinsic properties and there remain unmodeled dynamics due to varying parameters, unmodeled friction or soft materials. In this context, machine learning is an alternative suitable technique to extract non-linear plant models from data. However, fully data-based models suffer from inaccuracies as well and are inefficient if they include learning of well known analytical models...
February 8, 2017: Sensors
https://www.readbyqxmd.com/read/28207835/identification-of-plant-cells-in-black-pigments-of-prehistoric-spanish-levantine-rock-art-by-means-of-a-multi-analytical-approach-a-new-method-for-social-identity-materialization-using-cha%C3%A3-ne-op%C3%A3-ratoire
#8
Esther López-Montalvo, Clodoaldo Roldán, Ernestina Badal, Sonia Murcia-Mascarós, Valentín Villaverde
We present a new multi-analytical approach to the characterization of black pigments in Spanish Levantine rock art. This new protocol seeks to identify the raw materials that were used, as well as reconstruct the different technical gestures and decision-making processes involved in the obtaining of these black pigments. For the first of these goals, the pictorial matter of the black figurative motifs documented at the Les Dogues rock art shelter (Ares del Maestre, Castellón, Spain) was characterized through the combination of physicochemical and archeobotanical analyses...
2017: PloS One
https://www.readbyqxmd.com/read/28207721/clinical-anatomy-e-cases-a-five-year-follow-up-of-learning-analytics
#9
Geoffrey Braatvedt, Amelia Tekiteki, Holly Britton, John Wallace, Manish Khanolkar
AIMS: To examine the length of stay and need for intensive care of people admitted with diabetic ketoacidosis (DKA) to a single centre between 1988 and 2011. METHODS: Patients aged ≥15 years admitted for the first time with DKA (plasma glucose ≥ 10mmol/L and a bicarbonate concentration ≤15mmol/L and a pH <7.35, and raised plasma or urine ketones or anion gap) to Auckland City Hospital from 1988-2011 were identified retrospectively. The patients were divided into four cohorts (1988-1996; 1997-2001; 2002-2006; 2007-2011)...
February 17, 2017: New Zealand Medical Journal
https://www.readbyqxmd.com/read/28205533/a-data-driven-approach-for-evaluating-multi-modal-therapy-in-traumatic-brain-injury
#10
Jenny Haefeli, Adam R Ferguson, Deborah Bingham, Adrienne Orr, Seok Joon Won, Tina I Lam, Jian Shi, Sarah Hawley, Jialing Liu, Raymond A Swanson, Stephen M Massa
Combination therapies targeting multiple recovery mechanisms have the potential for additive or synergistic effects, but experimental design and analyses of multimodal therapeutic trials are challenging. To address this problem, we developed a data-driven approach to integrate and analyze raw source data from separate pre-clinical studies and evaluated interactions between four treatments following traumatic brain injury. Histologic and behavioral outcomes were measured in 202 rats treated with combinations of an anti-inflammatory agent (minocycline), a neurotrophic agent (LM11A-31), and physical therapy consisting of assisted exercise with or without botulinum toxin-induced limb constraint...
February 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28194620/mathematical-modeling-of-learning-from-an-inconsistent-source-a-nonlinear-approach
#11
Timmy Ma, Natalia L Komarova
Continuing the discussion of how children can modify and regularize linguistic inputs from adults, we present a new interpretation of existing algorithms to model and investigate the process of a learner learning from an inconsistent source. On the basis of this approach is a (possibly nonlinear) function (the update function) that relates the current state of the learner with an increment that it receives upon processing the source's input, in a sequence of updates. The model can be considered a nonlinear generalization of the classic Bush-Mosteller algorithm...
February 13, 2017: Bulletin of Mathematical Biology
https://www.readbyqxmd.com/read/28193066/proof-of-principle-of-rtlc-an-open-source-software-developed-for-image-evaluation-and-multivariate-analysis-of-planar-chromatograms
#12
Dimitri Fichou, Petar Ristivojević, Gertrud E Morlock
High-performance thin-layer chromatography (HPTLC) is an advantageous analytical technique for analysis of complex samples. Combined with multivariate data analysis, it turns out to be a powerful tool for profiling of many samples in parallel. So far, chromatogram analysis has been time-consuming and required the application of at least two software packages to convert HPTLC chromatograms into a numerical data matrix. Hence, this study aimed to develop a powerful, all in one open-source software for user-friendly image processing and multivariate analysis of HPTLC chromatograms...
December 20, 2016: Analytical Chemistry
https://www.readbyqxmd.com/read/28187416/feature-learning-applied-to-the-estimation-of-tensile-strength-at-break-in-polymeric-material-design
#13
Fiorella Cravero, María Jimena Martínez, Gustavo Esteban Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni
Several feature extraction approaches for QSPR modelling in Cheminformatics are discussed in this paper. In particular, this work is focused on the use of these strategies for predicting mechanical properties, which are relevant for the design of polymeric materials. The methodology analysed in this study employs a feature learning method that uses a quantification process of 2D structural characterization of materials with the autoencoder method. Alternative QSPR models inferred for tensile strength at break (a well-known mechanical property of polymers) are presented...
November 27, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28186006/what-we-can-learn-from-amazon-for-clinical-decision-support-systems
#14
Sidra Abid, Karim Keshavjee, Arsalan Karim, Aziz Guergachi
Health care continue to lag behind other industries, such as retail and financial services, in the use of decision-support-like tools. Amazon is particularly prolific in the use of advanced predictive and prescriptive analytics to assist its customers to purchase more, while increasing satisfaction, retention, repeat-purchases and loyalty. How can we do the same in health care? In this paper, we explore various elements of the Amazon website and Amazon's data science and big data practices to gather inspiration for re-designing clinical decision support in the health care sector...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28178920/learning-health-safety-within-non-technical-skills-interprofessional-simulation-education-a-qualitative-study
#15
Morris Gordon, Christopher W R Fell, Helen Box, Michael Farrell, Alison Stewart
BACKGROUND: Healthcare increasingly recognises and focusses on the phenomena of 'safe practice' and 'patient safety.' Success with non-technical skills (NTS) training in other industries has led to widespread transposition to healthcare education, with communication and teamwork skills central to NTS frameworks. OBJECTIVE: This study set out to identify how the context of interprofessional simulation learning influences NTS acquisition and development of 'safety' amongst learners...
2017: Medical Education Online
https://www.readbyqxmd.com/read/28178909/doctoring-undercover-updating-the-educational-tradition-of-shadowing
#16
Claire D Clark
BACKGROUND: Premedical students are educated in basic biological and health sciences. As a complement to traditional premedical coursework, medical school applicants are encouraged to shadow practitioners, with the hope that observation will introduce students to the culture and practice of healthcare. Yet the shadowing experience varies widely across practitioners and institutions; resources that guide students' critical reflection and structure the experience are scarce. DEVELOPMENT: A pilot experiential learning course, Doctoring Undercover: Shadowing and the Culture of Medicine, was developed to fill this gap...
2017: Medical Education Online
https://www.readbyqxmd.com/read/28178726/clinical-anatomy-e-cases-a-five-year-follow-up-of-learning-analytics
#17
Vivek Perumal, Russell Butson, Phil Blyth, Ben Daniel
AIM: This article explores the development and user experiences of a supplementary e-learning resource (clinical anatomy e-cases) for medical students, across a five-year teaching period. METHODS: A series of online supplementary e-learning resources (the clinical anatomy e-cases) were developed and introduced to the regional and clinical anatomy module of the medicine course. Usage analytics were collected online from a cohort of third-year medical students and analysed to gain a better understanding of how students utilised these resources...
January 27, 2017: New Zealand Medical Journal
https://www.readbyqxmd.com/read/28157389/critical-thinking-in-critical-care-five-strategies-to-improve-teaching-and-learning-in-the-intensive-care-unit
#18
Margaret M Hayes, Souvik Chatterjee, Richard M Schwartzstein
Critical thinking, the capacity to be deliberate about thinking, is increasingly the focus of undergraduate medical education, but is not commonly addressed in graduate medical education. Without critical thinking, physicians, particularly residents, are prone to cognitive errors, which can lead to diagnostic errors, especially in a high stakes environment such as the intensive care unit. Although challenging, critical thinking skills can be taught. Currently there is a paucity of data to support an educational gold standard for teaching critical thinking, but we believe that five strategies, routed in cognitive theory and our personal teaching experiences, provide an effective framework to teach critical thinking in the intensive care unit...
February 3, 2017: Annals of the American Thoracic Society
https://www.readbyqxmd.com/read/28155992/biopharmaceutical-informatics-supporting-biologic-drug-development-via-molecular-modelling-and-informatics
#19
REVIEW
Sandeep Kumar, Nikolay V Plotnikov, Jason C Rouse, Satish K Singh
OBJECTIVES: The purpose of this article is to introduce an emerging field called 'Biopharmaceutical Informatics'. It describes how tools from Information technology and Molecular Biophysics can be adapted, developed and gainfully employed in discovery and development of biologic drugs. KEY FINDINGS: The findings described here are based on literature surveys and the authors' collective experiences in the field of biologic drug product development. A strategic framework to forecast early the hurdles faced during drug product development is weaved together and elucidated using chemical degradation as an example...
February 3, 2017: Journal of Pharmacy and Pharmacology
https://www.readbyqxmd.com/read/28152901/adopting-qopi-metrics-into-a-continuous-plan-for-learning-across-a-five-hospital-network
#20
Kathleen Dunn, Marjorie Hepler, Debra Kay Allen, Maurie Markman
: 268 Background: Cancer Treatment Centers of America, Inc. (CTCA) is a national network of five hospitals that specialize in the treatment of patients fighting complex or advanced stage cancer. Utilizing metrics from the Quality Oncology Practice Initiative (QOPI), CTCA developed a "QOPI related continuous measures plan" from those areas of opportunity which fell greater than 10% below the QOPI aggregate score based upon its centers initial data abstraction efforts and findings. A total of 20 QOPI related measures were selected...
March 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
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