keyword
MENU ▼
Read by QxMD icon Read
search

Retrieval-based learning

keyword
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/29147954/a-fully-automatic-end-to-end-method-for-content-based-image-retrieval-of-ct-scans-with-similar-liver-lesion-annotations
#2
A B Spanier, N Caplan, J Sosna, B Acar, L Joskowicz
PURPOSE: The goal of medical content-based image retrieval (M-CBIR) is to assist radiologists in the decision-making process by retrieving medical cases similar to a given image. One of the key interests of radiologists is lesions and their annotations, since the patient treatment depends on the lesion diagnosis. Therefore, a key feature of M-CBIR systems is the retrieval of scans with the most similar lesion annotations. To be of value, M-CBIR systems should be fully automatic to handle large case databases...
November 16, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29135750/student-and-educator-experiences-of-maternal-child-simulation-based-learning-a-systematic-review-of-qualitative-evidence
#3
Karen MacKinnon, Lenora Marcellus, Julie Rivers, Carol Gordon, Maureen Ryan, Diane Butcher
BACKGROUND: Although maternal-child care is a pillar of primary health care, there is a global shortage of maternal-child health care providers. Nurse educators experience difficulties providing undergraduate students with maternal-child learning experiences for a number of reasons. Simulation has the potential to complement learning in clinical and classroom settings. Although systematic reviews of simulation are available, no systematic reviews of qualitative evidence related to maternal-child simulation-based learning (SBL) for undergraduate nursing students and/or educators have been located...
November 2017: JBI Database of Systematic Reviews and Implementation Reports
https://www.readbyqxmd.com/read/29131168/learning-based-single-shot-superresolution-in-diffractive-imaging
#4
Ryoichi Horisaki, Ryosuke Takagi, Jun Tanida
We present a method of retrieving a superresolved object field from a single captured intensity image in diffraction-limited diffractive imaging based on machine learning. In this method, the inverse process of diffractive imaging is regressed by using a number of pairs, each consisting of object and captured images. The proposed method is experimentally demonstrated by using a lensless imaging setup with or without scattering media.
November 10, 2017: Applied Optics
https://www.readbyqxmd.com/read/29128146/exposure-therapy-augmentation-a-review-and-extension-of-techniques-informed-by-an-inhibitory-learning-approach
#5
REVIEW
Jaclyn S Weisman, Thomas L Rodebaugh
Although exposure therapy is often considered a gold standard behavioral intervention for pathological anxiety, questions remain surrounding the mechanisms underlying exposure interventions, and some individuals are characterized by suboptimal treatment outcomes. Recently, a formulation known as the inhibitory learning theory, which is grounded in basic science principles of extinction learning and memory, has been proposed to provide a more parsimonious mechanistic explanation for the effects of exposure than previous, habituation-based models [Craske, M...
October 26, 2017: Clinical Psychology Review
https://www.readbyqxmd.com/read/29112770/interactive-effects-of-morphine-and-dopamine-receptor-agonists-on-spatial-recognition-memory-in-mice
#6
Yanmei Chen, Yu Fu, Yingjie Ann, Jianhong Wang, Jichuan Zhang
Both opiates and dopamine play important roles in learning and memory. Although synergistic action between these two neurotransmitters has been found, their functional roles remain unclear. Here, low dose morphine (2.5 mg/kg) and low dose dopamine receptor agonists (apomorphine: 0.05 mg/kg; SKF38393: 0.01 mg/kg; bromocriptine: 0.05 mg/kg), which have no effects on spatial recognition memory, were injected intraperitoneally into mice 30 min before a memory test in a two-trial recognition Y-maze. The Y-maze is based on the innate tendency of rodents to explore novel environments and is therefore suitable for exploring the effects of morphine on learning and memory...
November 7, 2017: Clinical and Experimental Pharmacology & Physiology
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
#7
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/29105247/increased-functional-connectivity-in-the-ventral-and-dorsal-streams-during-retrieval-of-novel-words-in-professional-musicians
#8
Eva Dittinger, Seyed Abolfazl Valizadeh, Lutz Jäncke, Mireille Besson, Stefan Elmer
Current models of speech and language processing postulate the involvement of two parallel processing streams (the dual stream model): a ventral stream involved in mapping sensory and phonological representations onto lexical and conceptual representations and a dorsal stream contributing to sound-to-motor mapping, articulation, and to how verbal information is encoded and manipulated in memory. Based on previous evidence showing that music training has an influence on language processing, cognitive functions, and word learning, we examined EEG-based intracranial functional connectivity in the ventral and dorsal streams while musicians and nonmusicians learned the meaning of novel words through picture-word associations...
November 3, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29063553/contributions-from-the-2016-literature-on-clinical-decision-support
#9
V Koutkias, J Bouaud
Objectives: To summarize recent research and select the best papers published in 2016 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook. Methods: A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs). The aim was to identify a list of candidate best papers from the retrieved papers that were then peer-reviewed by external reviewers. A consensus meeting of the IMIA editorial team finally selected the best papers on the basis of all reviews and section editor evaluation...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/29060752/content-based-retrieval-for-lung-nodule-diagnosis-using-learned-distance-metric
#10
Guohui Wei, He Ma, Wei Qian, Hongyang Jiang, Xinzhuo Zhao
Similarity metric of the lung nodules can be useful in differentiating between benign and malignant lung nodule lesions on computed tomography (CT). Unlike previous computerized schemes, which focus on the features extracting, we concentrate on similarity metric of the lung nodules. In this study, we first assemble a lung nodule dataset which is from LIDC-IDRI lung CT images. This dataset includes 746 lung nodules in which 375 domain radiologists identified malignant nodules and 371 domain radiologists-identified benign nodules...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29054542/cortical-hippocampal-functional-connectivity-during-covert-consolidation-sub-serves-associative-learning-evidence-for-an-active-rest-state
#11
Mathura Ravishankar, Alexandra Morris, Ashley Burgess, Dalal Khatib, Jeffrey A Stanley, Vaibhav A Diwadkar
We studied modulation of undirected functional connectivity (uFC) in cortical-hippocampal sub-networks during associative learning. Nineteen healthy individuals were studied (fMRI acquired on a Siemens Verio 3T), and uFC was studied between nodes in a network of regions identified by standard activation models based on bivariate correlational analyses of time series data. The paradigm alternated between Memory Encoding, Rest and Retrieval. "Rest" intervals promoted covert consolidation. Over the task, performance was broadly separable into linear (Early) and asymptomatic (Late) regimes, with late performance reflecting successful memory consolidation...
October 18, 2017: Brain and Cognition
https://www.readbyqxmd.com/read/29035779/data-driven-heterogeneity-in-mathematical-learning-disabilities-based-on-the-triple-code-model
#12
Christian Peake, Juan E Jiménez, Cristina Rodríguez
Many classifications of heterogeneity in mathematical learning disabilities (MLD) have been proposed over the past four decades, however no empirical research has been conducted until recently, and none of the classifications are derived from Triple Code Model (TCM) postulates. The TCM proposes MLD as a heterogeneous disorder, with two distinguishable profiles: a representational subtype and a verbal subtype. A sample of elementary school 3rd to 6th graders was divided into two age cohorts (3rd - 4th grades, and 5th - 6th grades)...
October 13, 2017: Research in Developmental Disabilities
https://www.readbyqxmd.com/read/29034866/the-health-effects-of-aluminum-exposure
#13
Katrin Klotz, Wobbeke Weistenhöfer, Frauke Neff, Andrea Hartwig, Christoph van Thriel, Hans Drexler
BACKGROUND: Aluminum is regularly taken up with the daily diet. It is also used in antiperspirants, as an adjuvant for vaccination, and in desensitization procedures. In this review, we present the scientifically documented harmful effects of aluminum on health and the threshold values associated with them. METHODS: This review is based on publications retrieved by a selective search of the PubMed and SCOPUS databases on the topic of aluminum in connection with neurotoxicity, Alzheimer's disease, and breast cancer, as well as on the authors' personal experience in occupational and environmental medicine...
September 29, 2017: Deutsches Ärzteblatt International
https://www.readbyqxmd.com/read/29032683/retrieving-the-quantitative-chemical-information-at-nanoscale-from-scanning-electron-microscope-energy-dispersive-x-ray-measurements-by-machine-learning
#14
B R Jany, A Janas, F Krok
The quantitative composition of metal alloy nanowires on InSb semiconductor surface and gold nanostructures on germanium surface is determined by blind source separation (BSS) machine learning method using non-negative matrix factorization from energy dispersive X-ray spectroscopy (EDX) spectrum image maps measured in a scanning electron microscope (SEM). The BSS method blindly decomposes the collected EDX spectrum image into three source components, which correspond directly to the X-ray signals coming from the supported metal nanostructures, bulk semiconductor signal, and carbon background...
October 18, 2017: Nano Letters
https://www.readbyqxmd.com/read/29032293/facilitating-problem-based-learning-among-undergraduate-nursing-students-a-qualitative-systematic-review
#15
REVIEW
Jacqueline Wosinski, Anne E Belcher, Yvan Dürrenberger, Anne-Claude Allin, Coraline Stormacq, Linda Gerson
OBJECTIVES: The purpose of this study was to identify and synthesize the best available evidence on the perspective of undergraduate nursing students on facilitating elements that contribute to their success with PBL. DESIGN: a qualitative systematic review of the literature according to meta-aggregative methodology using the JBI SUMARI system was conducted. DATA SOURCES: Data was collected across CINAHL, Medline, Embase, Eric, Teacher Reference Center and reference lists...
September 8, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/29032207/the-effect-of-unsuccessful-retrieval-on-children-s-subsequent-learning
#16
Paula Carneiro, Ana Lapa, Bridgid Finn
It is well known that successful retrieval enhances subsequent adults' learning by promoting long-term retention. Recent research has also found benefits from unsuccessful retrieval, but the evidence is not as clear-cut when the participants are children. In this study, we employed a methodology based on guessing-the weak associate paradigm-to test whether children can learn from generated errors or whether errors are harmful for learning. We tested second- and third-grade children in Experiment 1 and tested preschool and kindergarten children in Experiment 2...
October 12, 2017: Journal of Experimental Child Psychology
https://www.readbyqxmd.com/read/29031831/large-scale-retrieval-for-medical-image-analytics-a-comprehensive-review
#17
REVIEW
Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang
Over the past decades, medical image analytics was greatly facilitated by the explosion of digital imaging techniques, where huge amounts of medical images were produced with ever-increasing quality and diversity. However, conventional methods for analyzing medical images have achieved limited success, as they are not capable to tackle the huge amount of image data. In this paper, we review state-of-the-art approaches for large-scale medical image analysis, which are mainly based on recent advances in computer vision, machine learning and information retrieval...
October 2, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/29026963/an-evaluation-of-the-role-of-simulation-training-for-teaching-surgical-skills-in-sub-saharan-africa
#18
Nicholas J Campain, Mithun Kailavasan, Mumba Chalwe, Aberra A Gobeze, Getaneh Teferi, Robert Lane, Chandra Shekhar Biyani
BACKGROUND: An estimated 5 billion people worldwide lack access to any surgical care, whilst surgical conditions account for 11-30% of the global burden of disease. Maximizing the effectiveness of surgical training is imperative to improve access to safe and essential surgical care on a global scale. Innovative methods of surgical training have been used in sub-Saharan Africa to attempt to improve the efficiency of training healthcare workers in surgery. Simulation training may have an important role in up-scaling and improving the efficiency of surgical training and has been widely used in SSA...
October 11, 2017: World Journal of Surgery
https://www.readbyqxmd.com/read/29022403/developmental-approach-for-behavior-learning-using-primitive-motion-skills
#19
Farhan Dawood, Chu Kiong Loo
Imitation learning through self-exploration is essential in developing sensorimotor skills. Most developmental theories emphasize that social interactions, especially understanding of observed actions, could be first achieved through imitation, yet the discussion on the origin of primitive imitative abilities is often neglected, referring instead to the possibility of its innateness. This paper presents a developmental model of imitation learning based on the hypothesis that humanoid robot acquires imitative abilities as induced by sensorimotor associative learning through self-exploration...
August 6, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/29017443/a-new-synonym-substitution-method-to-enrich-the-human-phenotype-ontology
#20
Maria Taboada, Hadriana Rodriguez, Ranga C Gudivada, Diego Martinez
BACKGROUND: Named entity recognition is critical for biomedical text mining, where it is not unusual to find entities labeled by a wide range of different terms. Nowadays, ontologies are one of the crucial enabling technologies in bioinformatics, providing resources for improved natural language processing tasks. However, biomedical ontology-based named entity recognition continues to be a major research problem. RESULTS: This paper presents an automated synonym-substitution method to enrich the Human Phenotype Ontology (HPO) with new synonyms...
October 10, 2017: BMC Bioinformatics
keyword
keyword
57206
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"