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https://www.readbyqxmd.com/read/29149217/per-service-supervised-learning-for-identifying-desired-wot-apps-from-user-requests-in-natural-language
#1
Young Yoon
Web of Things (WoT) platforms are growing fast so as the needs for composing WoT apps more easily and efficiently. We have recently commenced the campaign to develop an interface where users can issue requests for WoT apps entirely in natural language. This requires an effort to build a system that can learn to identify relevant WoT functions that fulfill user's requests. In our preceding work, we trained a supervised learning system with thousands of publicly-available IFTTT app recipes based on conditional random fields (CRF)...
2017: PloS One
https://www.readbyqxmd.com/read/29146567/self-guided-web-based-interventions-scoping-review-on-user-needs-and-the-potential-of-embodied-conversational-agents-to-address-them
#2
REVIEW
Mark R Scholten, Saskia M Kelders, Julia Ewc Van Gemert-Pijnen
BACKGROUND: Web-based mental health interventions have evolved from innovative prototypes to evidence-based and clinically applied solutions for mental diseases such as depression and anxiety. Open-access, self-guided types of these solutions hold the promise of reaching and treating a large population at a reasonable cost. However, a considerable factor that currently hinders the effectiveness of these self-guided Web-based interventions is the high level of nonadherence. The absence of a human caregiver apparently has a negative effect on user adherence...
November 16, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29144076/the-let-s-beat-the-bug-campaign-a-statewide-active-public-education-against-bed-bugs-in-minnesota
#3
Amelia K Shindelar
Bed bugs continue to affect society and place a burden on public health systems. Experiences of the Let’s Beat the Bug! campaign are presented to help information networks prepare personnel to effectively address questions about this pest. Following recommendations from the Minnesota state bed bug working group, an information line was established and the Web site (www.bedbugs.umn.edu) was revised. Data from both services were analyzed by geographic region and type of information requested. InformationLine primarily assisted people who had issues dealing with failed treatments and landlord reluctance to take effective measures against this pest...
March 2017: Journal of Environmental Health
https://www.readbyqxmd.com/read/29138614/development-of-a-health-care-systems-curriculum
#4
Zachary Pruitt, Rahul Mhaskar, Bryan G Kane, Robert D Barraco, Deborah J DeWaay, Alex M Rosenau, Kristin A Bresnan, Marna Rayl Greenberg
Background: There is currently no gold standard for delivery of systems-based practice in medical education, and it is challenging to incorporate into medical education. Health systems competence requires physicians to understand patient care within the broader health care system and is vital to improving the quality of care clinicians provide. We describe a health systems curriculum that utilizes problem-based learning across 4 years of systems-based practice medical education at a single institution...
2017: Advances in Medical Education and Practice
https://www.readbyqxmd.com/read/29137548/exploring-organisational-competences-in-human-factors-and-ux-project-work-managing-careers-project-tactics-and-organisational-strategy
#5
Dominic Furniss, Paul Curzon, Ann Blandford
Organisational competence in Human Factors and UX (user experience) has not been looked at before despite its relevance to project success. We define organisational competence as the collective competence of the individuals, bringing together their complementary abilities to deliver an outcome that is typically more than the sum of its parts. Twenty-two UX and Human Factors practitioners were interviewed about their project work in two contrasting domains: web design and safety-critical systems to explore organisational competences...
November 15, 2017: Ergonomics
https://www.readbyqxmd.com/read/29130977/effects-of-wearable-sensor-based-balance-and-gait-training-on-balance-gait-and-functional-performance-in-healthy-and-patient-populations-a-systematic-review-and-meta-analysis-of-randomized-controlled-trials
#6
Katharina Gordt, Thomas Gerhardy, Bijan Najafi, Michael Schwenk
BACKGROUND: Wearable sensors (WS) can accurately measure body motion and provide interactive feedback for supporting motor learning. OBJECTIVE: This review aims to summarize current evidence for the effectiveness of WS training for improving balance, gait and functional performance. METHODS: A systematic literature search was performed in PubMed, Cochrane, Web of Science, and CINAHL. Randomized controlled trials (RCTs) using a WS exercise program were included...
November 1, 2017: Gerontology
https://www.readbyqxmd.com/read/29128651/design-and-rationale-of-the-medical-students-learning-weight-management-counseling-skills-msweight-group-randomized-controlled-trial
#7
Judith K Ockene, Karen M Ashe, Rashelle B Hayes, Linda C Churchill, Sybil L Crawford, Alan C Geller, Denise Jolicoeur, Barbara C Olendzki, Maria Theresa Basco, Jyothi A Pendharkar, Kristi J Ferguson, Thomas P Guck, Katherine L Margo, Catherine A Okuliar, Monica A Shaw, Taraneh Soleymani, Diane D Stadler, Sarita S Warrier, Lori Pbert
Physicians have an important role addressing the obesity epidemic. Lack of adequate teaching to provide weight management counseling (WMC) is cited as a reason for limited treatment. National guidelines have not been translated into an evidence-supported, competency-based curriculum in medical schools. Weight Management Counseling in Medical Schools: A Randomized Controlled Trial (MSWeight) is designed to determine if a multi-modal theoretically-guided WMC educational intervention improves observed counseling skills and secondarily improve perceived skills and self-efficacy among medical students compared to traditional education (TE)...
November 8, 2017: Contemporary Clinical Trials
https://www.readbyqxmd.com/read/29123069/a-neural-algorithm-for-a-fundamental-computing-problem
#8
Sanjoy Dasgupta, Charles F Stevens, Saket Navlakha
Similarity search-for example, identifying similar images in a database or similar documents on the web-is a fundamental computing problem faced by large-scale information retrieval systems. We discovered that the fruit fly olfactory circuit solves this problem with a variant of a computer science algorithm (called locality-sensitive hashing). The fly circuit assigns similar neural activity patterns to similar odors, so that behaviors learned from one odor can be applied when a similar odor is experienced. The fly algorithm, however, uses three computational strategies that depart from traditional approaches...
November 10, 2017: Science
https://www.readbyqxmd.com/read/29118683/the-e-health-literacy-demands-of-australia-s-my-health-record-a-heuristic-evaluation-of-usability
#9
Louisa Walsh, Bronwyn Hemsley, Meredith Allan, Natalie Adams, Susan Balandin, Andrew Georgiou, Isabel Higgins, Shaun McCarthy, Sophie Hill
Background: My Health Record is Australia's electronic personal health record system, which was introduced in July 2012. As of August 2017, approximately 21 percent of Australia's total population was registered to use My Health Record. Internationally, usability issues have been shown to negatively influence the uptake and use of electronic health record systems, and this scenario may particularly affect people who have low e-health literacy. It is likely that usability issues are negatively affecting the uptake and use of My Health Record in Australia...
2017: Perspectives in Health Information Management
https://www.readbyqxmd.com/read/29112034/learning-from-incident-reporting-analysis-of-incidents-resulting-in-patient-injuries-in-a-web-based-system-in-swedish-health-care
#10
Eva-Lena Ahlberg, Johan Elfström, Madeleine Risberg Borgstedt, Annica Öhrn, Christer Andersson, Rune Sjödahl, Per Nilsen
OBJECTIVES: Incident reporting (IR) systems have the potential to improve patient safety if they enable learning from the reported risks and incidents. The aim of this study was to investigate incidents registered in an IR system in a Swedish county council. METHODS: The study was conducted in the County Council of Östergötland, Sweden. Data were retrieved from the IR system, which included 4755 incidents occurring in somatic care that resulted in patient injuries from 2004 to 2012...
November 4, 2017: Journal of Patient Safety
https://www.readbyqxmd.com/read/29112030/nurses-views-highlight-a-need-for-the-systematic-development-of-patient-safety-culture-in-forensic-psychiatry-nursing
#11
Anssi Kuosmanen, Jari Tiihonen, Eila Repo-Tiihonen, Markku Eronen, Hannele Turunen
BACKGROUND: Although forensic nurses work with the most challenging psychiatric patients and manifest a safety culture in their interactions with patients, there have been few studies on patient safety culture in forensic psychiatric nursing. OBJECTIVES: The aim of this qualitative study was to describe nurses' views of patient safety culture in their working unit and daily hospital work in 2 forensic hospitals in Finland. METHODS: Data were collected over a period of 1 month by inviting nurses to answer an open-ended question in an anonymous Web-based questionnaire...
November 4, 2017: Journal of Patient Safety
https://www.readbyqxmd.com/read/29111222/ssel-ade-a-semi-supervised-ensemble-learning-framework-for-extracting-adverse-drug-events-from-social-media
#12
Jing Liu, Songzheng Zhao, Gang Wang
With the development of Web 2.0 technology, social media websites have become lucrative but under-explored data sources for extracting adverse drug events (ADEs), which is a serious health problem. Besides ADE, other semantic relation types (e.g., drug indication and beneficial effect) could hold between the drug and adverse event mentions, making ADE relation extraction - distinguishing ADE relationship from other relation types - necessary. However, conducting ADE relation extraction in social media environment is not a trivial task because of the expertise-dependent, time-consuming and costly annotation process, and the feature space's high-dimensionality attributed to intrinsic characteristics of social media data...
October 27, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/29110159/measuring-decision-making-during-thyroidectomy-validity-evidence-for-a-web-based-assessment-tool
#13
Amin Madani, Jordan Gornitsky, Yusuke Watanabe, Cassandre Benay, Maria S Altieri, Philip H Pucher, Roger Tabah, Elliot J Mitmaker
BACKGROUND: Errors in judgment during thyroidectomy can lead to recurrent laryngeal nerve injury and other complications. Despite the strong link between patient outcomes and intraoperative decision-making, methods to evaluate these complex skills are lacking. The purpose of this study was to develop objective metrics to evaluate advanced cognitive skills during thyroidectomy and to obtain validity evidence for them. METHODS: An interactive online learning platform was developed ( www...
November 6, 2017: World Journal of Surgery
https://www.readbyqxmd.com/read/29104344/validation-of-a-machine-learning-approach-for-venous-thromboembolism-risk-prediction-in-oncology
#14
Patrizia Ferroni, Fabio M Zanzotto, Noemi Scarpato, Silvia Riondino, Fiorella Guadagni, Mario Roselli
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictors, which could be useful to devise a web interface for VTE risk stratification in chemotherapy-treated cancer patients. This study was designed to validate a model incorporating the two best predictors and to compare their combined performance with that of the currently recommended Khorana score (KS). Age, sex, tumor site/stage, hematological attributes, blood lipids, glycemic indexes, liver and kidney function, BMI, performance status, and supportive and anticancer drugs of 608 cancer outpatients were all entered in the model, with numerical attributes analyzed as continuous values...
2017: Disease Markers
https://www.readbyqxmd.com/read/29100375/mlacp-machine-learning-based-prediction-of-anticancer-peptides
#15
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Sun Choi, Myeong Ok Kim, Gwang Lee
Cancer is the second leading cause of death globally, and use of therapeutic peptides to target and kill cancer cells has received considerable attention in recent years. Identification of anticancer peptides (ACPs) through wet-lab experimentation is expensive and often time consuming; therefore, development of an efficient computational method is essential to identify potential ACP candidates prior to in vitro experimentation. In this study, we developed support vector machine- and random forest-based machine-learning methods for the prediction of ACPs using the features calculated from the amino acid sequence, including amino acid composition, dipeptide composition, atomic composition, and physicochemical properties...
September 29, 2017: Oncotarget
https://www.readbyqxmd.com/read/29097355/a-clinical-reasoning-tool-for-virtual-patients-design-based-research-study
#16
Inga Hege, Andrzej A Kononowicz, Martin Adler
BACKGROUND: Clinical reasoning is a fundamental process medical students have to learn during and after medical school. Virtual patients (VP) are a technology-enhanced learning method to teach clinical reasoning. However, VP systems do not exploit their full potential concerning the clinical reasoning process; for example, most systems focus on the outcome and less on the process of clinical reasoning. OBJECTIVES: Keeping our concept grounded in a former qualitative study, we aimed to design and implement a tool to enhance VPs with activities and feedback, which specifically foster the acquisition of clinical reasoning skills...
November 2, 2017: JMIR Medical Education
https://www.readbyqxmd.com/read/29093610/automating-biomedical-evidence-synthesis-robotreviewer
#17
Iain J Marshall, Joël Kuiper, Edward Banner, Byron C Wallace
We present RobotReviewer, an open-source web-based system that uses machine learning and NLP to semi-automate biomedical evidence synthesis, to aid the practice of Evidence-Based Medicine. RobotReviewer processes full-text journal articles (PDFs) describing randomized controlled trials (RCTs). It appraises the reliability of RCTs and extracts text describing key trial characteristics (e.g., descriptions of the population) using novel NLP methods. RobotReviewer then automatically generates a report synthesising this information...
July 2017: Proceedings of the Conference on Computational Linguistics
https://www.readbyqxmd.com/read/29090982/feasibility-of-a-cluster-randomized-influenza-vaccination-trial-in-u-s-nursing-homes-lessons-learned
#18
Stefan Gravenstein, H Edward Davidson, Lisa F Han, Jessica A Ogarek, Roshani Dahal, Pedro L Gozalo, Monica Taljaard, Vincent Mor
Influenza severity increases and vaccine effectiveness decreases with age. High-Dose influenza vaccine (HD) with quadruple the antigen of standard-dose (SD) vaccine is more efficacious in community-dwelling persons 65 years and older. We evaluated the feasibility of recruiting and randomizing Medicare-care certified nursing homes (NHs) for a pragmatic cluster-randomized trial comparing HD vs. SD (NCT1720277). Residents were long-stay and at least 65 years old. NH leadership agreed to standard of care random assignment with HD (Fluzone® High-Dose) or SD (Fluzone®) influenza vaccine for their facility for the 2012-2013 influenza season...
November 1, 2017: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/29089805/cost-analysis-of-breast-cancer-diagnostic-assessment-programs
#19
G N Honein-AbouHaidar, J S Hoch, M J Dobrow, T Stuart-McEwan, D R McCready, A R Gagliardi
OBJECTIVES: Diagnostic assessment programs (daps) appear to improve the diagnosis of cancer, but evidence of their cost-effectiveness is lacking. Given that no earlier study used secondary financial data to estimate the cost of diagnostic tests in the province of Ontario, we explored how to use secondary financial data to retrieve the cost of key diagnostic test services in daps, and we tested the reliability of that cost-retrieving method with hospital-reported costs in preparation for future cost-effectiveness studies...
October 2017: Current Oncology
https://www.readbyqxmd.com/read/29084190/celiac-disease-on-youtube-a-study-of-the-polish-content-available-on-the-popular-video-sharing-website
#20
Mirosław Kiedrowski, Andrzej Mróz, Danuta Gajewska, Paweł Nurzyński, Andrzej Deptała
Celiac disease affects about 1% of the population. Since most Polish households have a broadband Internet connection, a lot of people use web resources to learn about health and disease. YouTube service (www.youtube.com) offers a lot of videos concerning celiac disease. However, the credibility of the Polish videos available on YouTube and concerning celiac disease has never been analyzed. AIM: The aim of the study was to determine whether the YouTube service offers valuable content for Polish people affected by celiac disease...
October 23, 2017: Polski Merkuriusz Lekarski: Organ Polskiego Towarzystwa Lekarskiego
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