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Methods of Information in Medicine

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https://www.readbyqxmd.com/read/27922661/fin-tiera-a-tool-for-assessing-technology-induced-errors
#1
Sari Palojoki, Tuuli Pajunen, Lasse Lehtonen, Kaija Saranto
BACKGROUND: Due to the complexity of healthcare processes, the potential for Health Information Systems (HIS) to cause technology-induced errors is a growing concern. Health Information Technology (HIT) errors nearly always threaten good patient care and can lead to patient harm. Instruments to allow hospitals to proactively identify areas of Electronic Health Records (EHR) safety, to set priorities and to intervene before incidents occur are currently underdeveloped. OBJECTIVES: The aim was to design a Finnish questionnaire to measure EHR users' perceptions of common EHR-related safety concerns in a specialized hospital district context through the lens of the theory of socio-technical dimensions...
December 6, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27922660/combined-vision-and-wearable-sensors-based-system-for-movement-analysis-in-rehabilitation
#2
Sofija Spasojević, Tihomir V Ilić, Slađan Milanović, Veljko Potkonjak, Aleksandar Rodić, José Santos-Victor
BACKGROUND: Traditional rehabilitation sessions are often a slow, tedious, disempowering and non-motivational process, supported by clinical assessment tools, i.e. evaluation scales that are prone to subjective rating and imprecise interpretation of patient's performance. Poor patient motivation and insufficient accuracy are thus critical factors that can be improved by new sensing / processing technologies. OBJECTIVES: We aim to develop a portable and affordable system, suitable for home rehabilitation, which combines vision-based and wearable sensors...
December 6, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27922659/eye-movement-analysis-and-cognitive-assessment-the-use-of-comparative-visual-search-tasks-in-a-non-immersive-vr-application
#3
Pedro J Rosa, Pedro Gamito, Jorge Oliveira, Diogo Morais, Matthew Pavlovic, Olivia Smyth, Inês Maia, Tiago Gomes
BACKGROUND: An adequate behavioral response depends on attentional and mnesic processes. When these basic cognitive functions are impaired, the use of non-immersive Virtual Reality Applications (VRAs) can be a reliable technique for assessing the level of impairment. However, most non-immersive VRAs use indirect measures to make inferences about visual attention and mnesic processes (e.g., time to task completion, error rate). OBJECTIVES: To examine whether the eye movement analysis through eye tracking (ET) can be a reliable method to probe more effectively where and how attention is deployed and how it is linked with visual working memory during comparative visual search tasks (CVSTs) in non-immersive VRAs...
December 6, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27922658/detecting-anxiety-states-when-caring-for-people-with-dementia
#4
Bert Arnrich, Jesús Favela, Darién Miranda
BACKGROUND: Caregiving is a complex, stressful activity, which frequently leads to anxiety and the development of depressive disorders. Recent advances in wearable sensing allows to monitor relevant physiological data of the caregiver for detecting anxiety spans and for enacting coping strategies to reduce their anxiety when needed. OBJECTIVES: This work proposes a method to infer anxiety states of caregivers when caring for people with dementia, by using physiological data...
December 6, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27922657/social-aware-event-handling-within-the-fallrisk-project
#5
Femke De Backere, Jan Van den Bergh, Sven Coppers, Shirley Elprama, Jelle Nelis, Stijn Verstichel, An Jacobs, Karin Coninx, Femke Ongenae, Filip De Turck
OBJECTIVES: With the uprise of the Internet of Things, wearables and smartphones are moving to the foreground. Ambient Assisted Living solutions are, for example, created to facilitate ageing in place. One example of such systems are fall detection systems. Currently, there exists a wide variety of fall detection systems using different methodologies and technologies. However, these systems often do not take into account the fall handling process, which starts after a fall is identified or this process only consists of sending a notification...
December 6, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27922656/wearable-therapy-detecting-information-from-wearables-and-mobiles-that-are-relevant-to-clinical-and-self-directed-therapy
#6
Bert Arnrich, Cem Ersoy, Oscar Mayora, Anind Dey, Nadia Berthouze, Kai Kunze
BACKGROUND: This accompanying editorial provides a brief introduction into the focus theme "Wearable Therapy". OBJECTIVES: The focus theme "Wearable Therapy" aims to present contributions which target wearable and mobile technologies to support clinical and self-directed therapy. METHODS: A call for papers was announced to all participants of the "9th International Conference on Pervasive Computing Technologies for Healthcare" and was published in November 2015...
December 6, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27868133/ensemble-pruning-for-glaucoma-detection-in-an-unbalanced-data-set
#7
Werner Adler, Olaf Gefeller, Asma Gul, Folkert K Horn, Zardad Khan, Berthold Lausen
BACKGROUND: Random forests are successful classifier ensemble methods consisting of typically 100 to 1000 classification trees. Ensemble pruning techniques reduce the computational cost, especially the memory demand, of random forests by reducing the number of trees without relevant loss of performance or even with increased performance of the sub-ensemble. The application to the problem of an early detection of glaucoma, a severe eye disease with low prevalence, based on topographical measurements of the eye background faces specific challenges...
November 21, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27868132/exploring-possibilities-for-transforming-established-subscription-based-scientific-journals-into-open-access-journals-present-situation-transformation-criteria-and-exemplary-implementation-within-trans-o-mim
#8
Reinhold Haux, Stefanie Kuballa, Mareike Schulze, Claudia Böhm, Olaf Gefeller, Jan Haaf, Peter Henning, Corinna Mielke, Florian Niggemann, Andrea Schürg, Dieter Bergemann
BACKGROUND: Based on today's information and communication technologies the open access paradigm has become an important approach for adequately communicating new scientific knowledge. OBJECTIVES: Summarizing the present situation for journal transformation. Presenting criteria for adequate transformation as well as a specific approach for it. Describing our exemplary implementation of such a journal transformation. METHODS: Studying the respective literature as well as discussing this topic in various discussion groups and meetings (primarily of editors and publishers, but also of authors and readers), with long term experience as editors and /or publishers of scientific publications as prerequisite...
November 21, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27868131/methods-open-a-new-journal-track-starting-in-2017
#9
Sabine Koch, Reinhold Haux, Olaf Gefeller, Indra N Sarkar, Dieter Bergemann
No abstract text is available yet for this article.
November 21, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27782291/person-generated-data-in-self-quantification-a-health-informatics-research-program
#10
Kathleen Gray, Fernando J Martin-Sanchez, Guillermo H Lopez-Campos, Manal Almalki, Mark Merolli
OBJECTIVES: The availability of internet-connected mobile, wearable and ambient consumer technologies, direct-to-consumer e-services and peer-to-peer social media sites far outstrips evidence about the efficiency, effectiveness and efficacy of using them in healthcare applications. The aim of this paper is to describe one approach to build a program of health informatics research, so as to generate rich and robust evidence about health data and information processing in self-quantification and associated healthcare and health outcomes...
October 26, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27782290/technology-in-rehabilitation-evaluating-the-single-leg-squat-exercise-with-wearable-inertial-measurement-units
#11
Darragh F Whelan, Martin A O'Reilly, Tomás E Ward, Eamonn Delahunt, Brian Caulfield
BACKGROUND: The single leg squat (SLS) is a common lower limb rehabilitation exercise. It is also frequently used as an evaluative exercise to screen for an increased risk of lower limb injury. To date athlete / patient SLS technique has been assessed using expensive laboratory equipment or subjective clinical judgement; both of which are not without shortcomings. Inertial measurement units (IMUs) may offer a low cost solution for the objective evaluation of athlete / patient SLS technique...
October 26, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27782289/unobtrusive-and-continuous-monitoring-of-alcohol-impaired-gait-using-smart-shoes
#12
Eunjeong Park, Sunghoon I Lee, Hyo Suk Nam, Jordan H Garst, Alex Huang, Andrew Campion, Monica Arnell, Nima Ghalehsariand, Sangsoo Park, Hyuk-Jae Chang, Daniel C Lu, Majid Sarrafzadeh
BACKGROUND: Alcohol ingestion influences sensory-motor function and the overall well-being of individuals. Detecting alcohol-induced impairments in gait in daily life necessitates a continuous and unobtrusive gait monitoring system. OBJECTIVES: This paper introduces the development and use of a non-intrusive monitoring system to detect changes in gait induced by alcohol intoxication. METHODS: The proposed system employed a pair of sensorized smart shoes that are equipped with pressure sensors on the insole...
October 26, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27782288/development-of-a-standardized-rating-tool-for-drug-alerts-to-reduce-information-overload
#13
Barbara Pfistermeister, Brita Sedlmayr, Andrius Patapovas, Gerald Suttner, Ozan Tektas, Aleksey Tarkhov, Johannes Kornhuber, Martin F Fromm, Thomas Bürkle, Hans-Ulrich Prokosch, Renke Maas
BACKGROUND: A well-known problem in current clinical decision support systems (CDSS) is the high number of alerts, which are often medically incorrect or irrelevant. This may lead to the so-called alert fatigue, an overriding of alerts, including those that are clinically relevant, and underuse of CDSS in general. OBJECTIVES: The aim of our study was to develop and to apply a standardized tool that allows its users to evaluate the quality of system-generated drug alerts...
October 26, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27782287/graphical-presentation-of-patient-treatment-interaction-elucidated-by-continuous-biomarkers-current-practice-and-scope-for-improvement
#14
Yu-Ming Shen, Lien D Le, Rory Wilson, Ulrich Mansmann
BACKGROUND: Biomarkers providing evidence for patient-treatment interaction are key in the development and practice of personalized medicine. Knowledge that a patient with a specific feature - as demonstrated through a biomarker - would have an advantage under a given treatment vs. a competing treatment can aid immensely in medical decision-making. Statistical strategies to establish evidence of continuous biomarkers are complex and their formal results are thus not easy to communicate...
October 26, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27714397/comparing-graphical-formats-for-feedback-of-clinical-practice-data-a-multicenter-study-among-anesthesiologists-in-france
#15
Aurelie Petit-Monéger, Florence Saillour-Glénisson, Karine Nouette-Gaulain, Vianney Jouhet, Louis-Rachid Salmi
OBJECTIVES: Although graphical formats used to feedback clinical practice data may have an important impact, the most effective formats remain unknown. Using prevention of postoperative nausea and vomiting by anesthesiologists as an application, the objective of this study was to assess which graphical formats for feedback of clinical practice data are the most incentive to change practice. METHODS: We conducted a multicenter cross-sectional study among anesthesiologists randomized in two groups between March and June 2014...
October 7, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27714396/challenges-and-opportunities-for%C3%A2-harmonizing-research-methodology-raw-accelerometry
#16
Vincent T van Hees, Kathrin Thaler-Kall, Klaus-Hendrik Wolf, Jan C Brønd, Alberto Bonomi, Mareike Schulze, Matthäus Vigl, Bente Morseth, Laila Arnesdatter Hopstock, Lukas Gorzelniak, Holger Schulz, Søren Brage, Alexander Horsch
OBJECTIVES: Raw accelerometry is increasingly being used in physical activity research, but diversity in sensor design, attachment and signal processing challenges the comparability of research results. Therefore, efforts are needed to harmonize the methodology. In this article we reflect on how increased methodological harmonization may be achieved. METHODS: The authors of this work convened for a two-day workshop (March 2014) themed on methodological harmonization of raw accelerometry...
October 7, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27626633/unconstrained-sleep-stage-estimation-based-on-respiratory-dynamics-and-body-movement
#17
Su H Hwang, Yu J Lee, Do U Jeong, Kwang S Park
OBJECTIVES: The aim of this study is to establish a sleep monitoring method that can classify sleep into four stages in an unconstrained manner using a polyvinylidene fluoride (PVDF) sensor for continuous and accurate estimation of sleep stages. METHODS: The study participants consisted of 12 normal subjects and 13 obstructive sleep apnea (OSA) patients. The physiological signals of the subjects were unconstrainedly measured using the PVDF sensor during polysomnography...
September 14, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27626931/approaches-to-regularized-regression-a-comparison-between-gradient-boosting-and-the-lasso
#18
Tobias Hepp, Matthias Schmid, Olaf Gefeller, Elisabeth Waldmann, Andreas Mayr
BACKGROUND: Penalization and regularization techniques for statistical modeling have attracted increasing attention in biomedical research due to their advantages in the presence of high-dimensional data. A special focus lies on algorithms that incorporate automatic variable selection like the least absolute shrinkage operator (lasso) or statistical boosting techniques. OBJECTIVES: Focusing on the linear regression framework, this article compares the two most-common techniques for this task, the lasso and gradient boosting, both from a methodological and a practical perspective...
October 17, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27626806/optimizing-estimates-of-instantaneous-heart-rate-from-pulse-wave-signals-with-the-synchrosqueezing-transform
#19
Hau-Tieng Wu, Gregory F Lewis, Maria I Davila, Ingrid Daubechies, Stephen W Porges
BACKGROUND: With recent advances in sensor and computer technologies, the ability to monitor peripheral pulse activity is no longer limited to the laboratory and clinic. Now inexpensive sensors, which interface with smartphones or other computer-based devices, are expanding into the consumer market. When appropriate algorithms are applied, these new technologies enable ambulatory monitoring of dynamic physiological responses outside the clinic in a variety of applications including monitoring fatigue, health, workload, fitness, and rehabilitation...
October 17, 2016: Methods of Information in Medicine
https://www.readbyqxmd.com/read/27626460/to-explore-intracerebral-hematoma-with-a-hybrid-approach-and-combination-of-discriminative-factors
#20
Hui-Chu Chiu, Deng-Yiv Chiu, Yao-Hsien Lee, Chih-Cheng Wang, Chen-Shu Wang, Chi-Chung Lee, Ming-Hsiung Ying, Mei-Yu Wu, Wen-Chih Chang
OBJECTIVES: To find discriminative combination of influential factors of Intracerebral hematoma (ICH) to cluster ICH patients with similar features to explore relationship among influential factors and 30-day mortality of ICH. METHODS: The data of ICH patients are collected. We use a decision tree to find discriminative combination of the influential factors. We cluster ICH patients with similar features using Fuzzy C-means algorithm (FCM) to construct a support vector machine (SVM) for each cluster to build a multi-SVM classifier...
October 17, 2016: Methods of Information in Medicine
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