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https://www.readbyqxmd.com/read/28227826/assessing-subsets-of-analytes-in-context-of-detecting-laboratory-errors
#1
J Sourati, S C Kazmierczak, M Akcakaya, J G Dy, T K Leen, D Erdogmus, J Sourati, S C Kazmierczak, M Akcakaya, J G Dy, T K Leen, D Erdogmus, D Erdogmus, J Sourati, S C Kazmierczak, J G Dy, T K Leen, M Akcakaya
Laboratory error detection is a hard task yet plays an important role in efficient care of the patients. Quality controls are inadequate in detecting pre-analytic errors and are not frequent enough. Hence population- and patient-based detectors are developed. However, it is not clear what set of analytes leads to the most efficient error detectors. Here, we use three different scoring functions that can be used in detecting errors, to rank a set of analytes in terms of their strength in distinguishing erroneous measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227593/an-rf-based-wearable-sensor-system-for-indoor-tracking-to-facilitate-efficient-healthcare-management
#2
Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui, Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui, Yuzhe Ouyang, Kai Shan, Francis Minhthang Bui
To understand the utilization of clinical resources and improve the efficiency of healthcare, it is often necessary to accurately locate patients and doctors in a healthcare facility. However, existing tracking methods, such as GPS, Wi-Fi and RFID, have technological drawbacks or impose significant costs, thus limiting their applications in many clinical environments, especially those with indoor enclosures. This paper proposes a low-cost and flexible tracking system that is well suited for operating in an indoor environment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227381/graph-based-sinogram-denoising-for-tomographic-reconstructions
#3
Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund, Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund, Faisal Mahmood, Ulf Skoglund, Nauman Shahid, Pierre Vandergheynst
Limited data and low-dose constraints are common problems in a variety of tomographic reconstruction paradigms, leading to noisy and incomplete data. Over the past few years, sinogram denoising has become an essential preprocessing step for low-dose Computed Tomographic (CT) reconstructions. We propose a novel sinogram denoising algorithm inspired by signal processing on graphs. Graph-based methods often perform better than standard filtering operations since they can exploit the signal structure. This makes the sinogram an ideal candidate for graph based denoising since it generally has a piecewise smooth structure...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227285/non-contact-real-time-estimation-of-intrapulmonary-pressure-and-tidal-volume-for-chronic-heart-failure-patients
#4
Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily
Long-term continuous patient monitoring is required in many health systems for monitoring and analytical diagnosing purposes. It has been recognized that these types of monitoring systems have shortcomings related to patient comfort and/or functionality. Non-contact monitoring systems have been developed to address some of these shortcomings. One of such systems is non-contact physiological vital signs assessments for Chronic Heart Failure (CHF) patients. This paper presents a novel pulmonary ventilation model that defines the relationship between the intrapulmonary pressure and the chest displacement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227218/effect-of-wearable-sensor-dynamics-on-physical-activity-estimates-a-comparison-between-sci-vs-healthy-individuals
#5
C Jayaraman, C K Mummidisetty, A Jayaraman, C Jayaraman, C K Mummidisetty, A Jayaraman, C K Mummidisetty, A Jayaraman, C Jayaraman
Accuracy of physical activity estimates predicted by activity monitoring technologies may be affected by device location, analysis algorithms, type of technology (i.e. wearable/stickable) and population demographics (disability) being studied. Consequently, the main purpose of this investigation was to study such sensor dynamics (i.e. effect of device location, type and population demographics on energy expenditure estimates) of two commercial activity monitors. It was hypothesized that device location, population studied (disability), choice of proprietary algorithm and type of technology used will significantly impact the accuracy of the predicted physical activity metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227140/map-reduce-for-optimizing-a-large-scale-dynamic-network-the-internet-of-hearts
#6
Chen Kan, Fabio M Leonelli, Hui Yang, Chen Kan, Fabio M Leonelli, Hui Yang, Hui Yang, Chen Kan, Fabio M Leonelli
Rapid advancements of sensing and mobile technology provide an unprecedented opportunity to empower smart and connected healthcare. Realizing the full potential of connected care depends, however, to a great extent on the capability of data analytics. Our previous study proposed a next-generation mobile health system, namely, the Internet of Heart (IoH). The IoH embeds patients into a dynamic network, where the distance between network nodes is determined by the dissimilarity of patients' conditions. Dynamics of the network reveal the change of clinical status of patients...
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
#7
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
#8
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
#9
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/28227033/advanced-analytics-for-outcome-prediction-in-intensive-care-units
#10
Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Mohamed Rehman, Ali Jalali, Vinay Nadkanri, Dieter Bender, C Nataraj
In this paper we present a new expert knowledge based clinical decision support system for prediction of intensive care units outcome based on the physiological measurements collected during the first 48 hours of the patient's admission to the ICU. The developed CDSS algorithm is composed of several stages. First, we categorize the collected data based on the physiological organ that they represent. We then extract clinically relevant features from each data category and then rank these features based on their mutual information with the outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226722/fast-analytical-spectral-filtering-methods-for-magnetic-resonance-perfusion-quantification
#11
Kasireddy V Reddy, Abhishek Mitra, Phaneendra K Yalavarthy, Kasireddy V Reddy, Abhishek Mitra, Phaneendra K Yalavarthy, Abhishek Mitra, Kasireddy V Reddy, Phaneendra K Yalavarthy
The deconvolution in the perfusion weighted imaging (PWI) plays an important role in quantifying the MR perfusion parameters. The PWI application to stroke and brain tumor studies has become a standard clinical practice. The standard approach for this deconvolution is oscillatory-limited singular value decomposition (oSVD) and frequency domain deconvolution (FDD). The FDD is widely recognized as the fastest approach currently available for deconvolution of MR perfusion data. In this work, two fast deconvolution methods (namely analytical fourier filtering and analytical showalter spectral filtering) are proposed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226391/closed-form-reml-estimators-and-sample-size-determination-for-mixed-effects-models-for-repeated-measures-under-monotone-missingness
#12
Yongqiang Tang
We derive the closed-form restricted maximum likelihood estimator and Kenward-Roger's variance estimator for fixed effects in the mixed effects model for repeated measures (MMRM) when the missing data pattern is monotone. As an important application of the analytic result, we present the formula for calculating the power of treatment comparison using the Wald t-test with the Kenward-Roger adjusted variance estimate in MMRM. It allows adjustment for baseline covariates without the need to specify the covariate distribution in randomized trials...
February 22, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/28226258/a-new-hypervolume-approach-for-assessing-environmental-risks
#13
Denys Yemshanov, Frank H Koch, Bo Lu, Ronald Fournier, Gericke Cook, Jean J Turgeon
Assessing risks of uncertain but potentially damaging events, such as environmental disturbances, disease outbreaks and pest invasions, is a key analytical step that informs subsequent decisions about how to respond to these events. We present a continuous risk measure that can be used to assess and prioritize environmental risks from uncertain data in a geographical domain. The metric is influenced by both the expected magnitude of risk and its uncertainty. We demonstrate the approach by assessing risks of human-mediated spread of Asian longhorned beetle (ALB, Anoplophora glabripennis) in Greater Toronto (Ontario, Canada)...
February 19, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28225443/bringing-big-data-to-the-forefront-of-healthcare-delivery-the-experience-of-carolinas-healthcare-system
#14
Michael F Dulin, Carol A Lovin, Jean A Wright
The use of big data to transform care delivery is rapidly becoming a reality. To deliver on the promise of value-based care, providers must know the key drivers of wellness at the patient and community levels, as well as understand resource constraints and opportunities to improve efficiency in the health-care system itself. Data are the linchpin. By gathering the right data and finding innovative ways to glean knowledge, we can improve clinical care, advance the health of our communities, improve the lives of our patients, and operate more efficiently...
January 2017: Frontiers of Health Services Management
https://www.readbyqxmd.com/read/28225259/one-step-ligand-immobilization-and-single-sample-injection-for-regeneration-free-surface-plasmon-resonance-measurements-of-biomolecular-interactions
#15
Xiaoying Wang, Zhiqiang Li, Nguyen Ly, Feimeng Zhou
Surface plasmon resonance (SPR) has been well established as a method of choice for label-free kinetic measurements of biomolecular interactions. The conventional approach involves multiple injections of an analyte of different concentrations into a fluidic channel covered with a fixed ligand density. Optimization of the experimental conditions and assessment of the data quality can be complicated by issues such as disruption of the ligand structure by the regeneration step and limited availability of the sample solution...
February 22, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28224908/comparison-of-multivariate-curve-resolution-strategies-in-quantitative-lcxlc-application-to-the-quantification-of-furanocoumarins-in-apiaceous-vegetables
#16
Daniel W Cook, Mackenzie L Burnham, David C Harmes, Dwight R Stoll, Sarah C Rutan
Comprehensive two-dimensional liquid chromatography (LC × LC) has been gaining popularity for the analysis of complex samples in a wide range of fields including metabolomics, environmental analysis, and food analysis. While LC × LC can provide greater chromatographic resolution than one-dimensional LC (1D-LC), overlapping peaks are often still present in separations of complex samples, a problem that can be alleviated by chemometric curve resolution techniques such as multivariate curve resolution-alternating least squares (MCR-ALS)...
April 8, 2017: Analytica Chimica Acta
https://www.readbyqxmd.com/read/28224361/modeling-strategy-to-identify-patients-with-primary-immunodeficiency-utilizing-risk-management-and-outcome-measurement
#17
Vicki Modell, Jessica Quinn, Grant Ginsberg, Ron Gladue, Jordan Orange, Fred Modell
This study seeks to generate analytic insights into risk management and probability of an identifiable primary immunodeficiency defect. The Jeffrey Modell Centers Network database, Jeffrey Modell Foundation's 10 Warning Signs, the 4 Stages of Testing Algorithm, physician-reported clinical outcomes, programs of physician education and public awareness, the SPIRIT® Analyzer, and newborn screening, taken together, generates P values of less than 0.05%. This indicates that the data results do not occur by chance, and that there is a better than 95% probability that the data are valid...
February 21, 2017: Immunologic Research
https://www.readbyqxmd.com/read/28224246/comparison-of-veterinary-drug-residue-results-in-animal-tissues-by-ultrahigh-performance-liquid-chromatography-coupled-to-triple-quadrupole-or-quadrupole-time-of-flight-tandem-mass-spectrometry-after-different-sample-preparation-methods-including-use-of-a-commercial
#18
Tarun Anumol, Steven J Lehotay, Joan Stevens, Jerry Zweigenbaum
Veterinary drug residues in animal-derived foods must be monitored to ensure food safety, verify proper veterinary practices, enforce legal limits in domestic and imported foods, and for other purposes. A common goal in drug residue analysis in foods is to achieve acceptable monitoring results for as many analytes as possible, with higher priority given to the drugs of most concern, in an efficient and robust manner. The U.S. Department of Agriculture has implemented a multiclass, multi-residue method based on sample preparation using dispersive solid phase extraction (d-SPE) for cleanup and ultrahigh-performance liquid chromatography-tandem quadrupole mass spectrometry (UHPLC-QQQ) for analysis of >120 drugs at regulatory levels of concern in animal tissues...
February 21, 2017: Analytical and Bioanalytical Chemistry
https://www.readbyqxmd.com/read/28223139/the-role-of-il-1-gene-polymorphisms-il1a-il1b-and-il1rn-as-a-risk-factor-in-unsuccessful-implants-retaining-overdentures
#19
Margarida Sampaio Fernandes, Paula Vaz, Ana Cristina Braga, João Carlos Sampaio Fernandes, Maria Helena Figueiral
PURPOSE: Implant-supported overdentures are an alternative predictable rehabilitation method that has a high impact on improving the patient's quality of life. However, some biological complications may interfere with the maintenance and survival of these overdenture implants. The goal of this article was to assess the factors that affect peri-implant success, through a hypothetical prediction model for biological complications of implant overdentures. METHODS: A retrospective observational, prevalence study was conducted in 58 edentulous Caucasian patients rehabilitated with implant overdentures...
February 17, 2017: Journal of Prosthodontic Research
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
#20
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
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