keyword
MENU ▼
Read by QxMD icon Read
search

Operant learning

keyword
https://www.readbyqxmd.com/read/28449316/does-my-high-blood-pressure-improve-your-survival-overall-and-subgroup-learning-curves-in-health
#1
Raf Van Gestel, Tobias Müller, Johan Bosmans
Learning curves in health are of interest for a wide range of medical disciplines, healthcare providers, and policy makers. In this paper, we distinguish between three types of learning when identifying overall learning curves: economies of scale, learning from cumulative experience, and human capital depreciation. In addition, we approach the question of how treating more patients with specific characteristics predicts provider performance. To soften collinearity problems, we explore the use of least absolute shrinkage and selection operator regression as a variable selection method and Theil-Goldberger mixed estimation to augment the available information...
April 27, 2017: Health Economics
https://www.readbyqxmd.com/read/28448372/validity-of-the-montreal-cognitive-assessment-screener-in-adolescents-and-young-adults-with-and-without-congenital-heart-disease
#2
Nancy A Pike, Marie K Poulsen, Mary A Woo
BACKGROUND: Cognitive deficits are common, long-term sequelae in children and adolescents with congenital heart disease (CHD) who have undergone surgical palliation. However, there is a lack of a validated brief cognitive screening tool appropriate for the outpatient setting for adolescents with CHD. One candidate instrument is the Montreal Cognitive Assessment (MoCA) questionnaire. OBJECTIVE: The purpose of the research was to validate scores from the MoCA against the General Memory Index (GMI) of the Wide Range Assessment of Memory and Learning, 2nd Edition (WRAML2), a widely accepted measure of cognition/memory, in adolescents and young adults with CHD...
May 2017: Nursing Research
https://www.readbyqxmd.com/read/28447970/laparoscopic-recurrent-inguinal-hernia-repair-during-the-learning-curve-it-can-be-done
#3
Umberto Bracale, Antonio Sciuto, Jacopo Andreuccetti, Giovanni Merola, Leandro Pecchia, Paolo Melillo, Giusto Pignata
AIM: Trans-Abdominal Preperitoneal Patch (TAPP) repairs for Recurrent Hernia (RH) is a technically demanding procedure. It has to be performed only by surgeons with extensive experience in the laparoscopic approach. The purpose of this study is to evaluate the surgical safety and the efficacy of TAPP for RH performed in a tutoring program by surgeons in practice (SP). MATERIAL AND STUDY: All TAPP repairs for RH performed by the same surgical team have been included in the study...
2017: Annali Italiani di Chirurgia
https://www.readbyqxmd.com/read/28447812/a-computational-model-of-fraction-arithmetic
#4
David W Braithwaite, Aryn A Pyke, Robert S Siegler
Many children fail to master fraction arithmetic even after years of instruction, a failure that hinders their learning of more advanced mathematics as well as their occupational success. To test hypotheses about why children have so many difficulties in this area, we created a computational model of fraction arithmetic learning and presented it with the problems from a widely used textbook series. The simulation generated many phenomena of children's fraction arithmetic performance through a small number of common learning mechanisms operating on a biased input set...
April 27, 2017: Psychological Review
https://www.readbyqxmd.com/read/28443027/personalized-medication-response-prediction-for-attention-deficit-hyperactivity-disorder-learning-in-the-model-space-vs-learning-in-the-data-space
#5
Hin K Wong, Paul A Tiffin, Michael J Chappell, Thomas E Nichols, Patrick R Welsh, Orla M Doyle, Boryana C Lopez-Kolkovska, Sarah K Inglis, David Coghill, Yuan Shen, Peter Tiño
Attention-Deficit Hyperactive Disorder (ADHD) is one of the most common mental health disorders amongst school-aged children with an estimated prevalence of 5% in the global population (American Psychiatric Association, 2013). Stimulants, particularly methylphenidate (MPH), are the first-line option in the treatment of ADHD (Reeves and Schweitzer, 2004; Dopheide and Pliszka, 2009) and are prescribed to an increasing number of children and adolescents in the US and the UK every year (Safer et al., 1996; McCarthy et al...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28441393/sequence-learning-modulates-neural-responses-and-oscillatory-coupling-in-human-and-monkey-auditory-cortex
#6
Yukiko Kikuchi, Adam Attaheri, Benjamin Wilson, Ariane E Rhone, Kirill V Nourski, Phillip E Gander, Christopher K Kovach, Hiroto Kawasaki, Timothy D Griffiths, Matthew A Howard, Christopher I Petkov
Learning complex ordering relationships between sensory events in a sequence is fundamental for animal perception and human communication. While it is known that rhythmic sensory events can entrain brain oscillations at different frequencies, how learning and prior experience with sequencing relationships affect neocortical oscillations and neuronal responses is poorly understood. We used an implicit sequence learning paradigm (an "artificial grammar") in which humans and monkeys were exposed to sequences of nonsense words with regularities in the ordering relationships between the words...
April 2017: PLoS Biology
https://www.readbyqxmd.com/read/28441265/novel-risk-assessment-tool-for-immunoglobulin-resistance-in-kawasaki-disease-application-using-a-random-forest-classifier
#7
Masato Takeuchi, Ryo Inuzuka, Taiyu Hayashi, Takahiro Shindo, Yoichiro Hirata, Nobutaka Shimizu, Jun Inatomi, Yoshiki Yokoyama, Yoshiyuki Namai, Yoichiro Oda, Masaru Takamizawa, Jiro Kagawa, Yutaka Harita, Akira Oka
BACKGROUND: Resistance to intravenous immunoglobulin (IVIG) therapy is a risk factor for coronary lesions in patients with Kawasaki disease (KD). Risk-adjusted initial therapy may improve coronary outcome in KD, but identification of high risk patients remains a challenge. This study aimed to develop a new risk assessment tool for IVIG-resistance using advanced statistical techniques. METHODS: Data were retrospectively collected from KD patients receiving IVIG therapy, including demographic characteristics, signs and symptoms of KD, and laboratory results...
April 24, 2017: Pediatric Infectious Disease Journal
https://www.readbyqxmd.com/read/28440276/next-generation-probiotics-the-spectrum-from-probiotics-to-live-biotherapeutics
#8
Paul W O'Toole, Julian R Marchesi, Colin Hill
The leading probiotics currently available to consumers are generally drawn from a narrow range of organisms. Knowledge of the gut microbiota and its constituent actors is changing this paradigm, particularly given the phylogenetic range and relatively unknown characteristics of the organisms under investigation as novel therapeutics. For this reason, and because their development is likely to be more amenable to a pharmaceutical than a food delivery route, these organisms are often operationally referred to as next-generation probiotics, a concept that overlaps with the emerging concept of live biotherapeutic products...
April 25, 2017: Nature Microbiology
https://www.readbyqxmd.com/read/28440122/effects-of-low-dose-ionizing-radiation-on-dna-damage-caused-pathways-by-reverse-phase-protein-array-and-bayesian-networks
#9
Dong-Chul Kim, Mingon Kang, Ashis Biswas, Chin-Rang Yang, Xiaoyu Wang, Jean X Gao
Ionizing radiation (IR) causing damages to Deoxyribonucleic acid (DNA) constitutes a broad range of base damage and double strand break, and thereby, it induces the operation of relevant signaling pathways such as DNA repair, cell cycle control, and cell apoptosis. The goal of this paper is to study how the exposure to low dose radiation affects the human body by observing the signaling pathway associated with Ataxia Telangiectasia mutated (ATM) using Reverse-Phase Protein Array (RPPA) and isogenic human Ataxia Telangiectasia (A-T) cells under different amounts and durations of IR exposure...
April 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28439807/generating-explanations-via-analogical-comparison
#10
Christian Hoyos, Dedre Gentner
Generating explanations can be highly effective in promoting learning in both adults and children. Our interest is in the mechanisms that underlie this effect and in whether and how they operate in early learning. In adult reasoning, explanation may call on many subprocesses-including comparison, counterfactual reasoning, and reasoning by exclusion; but it is unlikely that all these processes are available to young children. We propose that one process that may serve both children and adults is comparison. In this study, we asked whether children would use the results of a comparison experience when asked to explain why a model skyscraper was stable...
April 24, 2017: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28439629/transitioning-to-the-direct-anterior-approach-in-total-hip-arthroplasty-is-it-a-true-muscle-sparing-approach-when-performed-by-a-low-volume-hip-replacement-surgeon
#11
Dan-Viorel Nistor, Sergiu Caterev, Sorana-Daniela Bolboacă, Dan Cosma, Dan Osvald Gheorghe Lucaciu, Adrian Todor
PURPOSE: We conducted this study to establish if the transition from a lateral approach (LA) to the direct anterior approach (DAA) for a low volume hip arthroplasty surgeon during the steep learning curve can be performed maintaining the muscle sparing approach of the DAA without increasing the complication rates. METHODS: In this controlled, prospective, randomized clinical study we investigated 70 patients (35 DAA, 35 LA) with similar demographics that underwent a total hip arthroplasty...
April 24, 2017: International Orthopaedics
https://www.readbyqxmd.com/read/28439455/the-evolution-of-logic-circuits-for-the-purpose-of-protein-contact-map-prediction
#12
Samuel D Chapman, Christoph Adami, Claus O Wilke, Dukka B Kc
Predicting protein structure from sequence remains a major open problem in protein biochemistry. One component of predicting complete structures is the prediction of inter-residue contact patterns (contact maps). Here, we discuss protein contact map prediction by machine learning. We describe a novel method for contact map prediction that uses the evolution of logic circuits. These logic circuits operate on feature data and output whether or not two amino acids in a protein are in contact or not. We show that such a method is feasible, and in addition that evolution allows the logic circuits to be trained on the dataset in an unbiased manner so that it can be used in both contact map prediction and the selection of relevant features in a dataset...
2017: PeerJ
https://www.readbyqxmd.com/read/28439437/supraglottic-airway-devices-the-search-for-the-best-insertion-technique-or-the-time-to-change-our-point-of-view
#13
Massimiliano Sorbello, Flavia Petrini
In the crowded world of supraglottic airway devices (SADs), many papers compare the easiness of insertion based on the different endpoints of an operator's satisfaction: first pass success, ventilation effectiveness, complications and morbidity. Proseal LMA(™) (Laryngeal Mask Airway, Teleflex Medical, Dublin, Ireland) has been extensively studied because on one hand it has a steeper learning curve and more complex insertion when compared with other SADs and on the other hand many alternative techniques are available to facilitate insertion...
April 2017: Turkish Journal of Anaesthesiology and Reanimation
https://www.readbyqxmd.com/read/28439303/proximal-femoral-osteotomy-in-children-with-cerebral-palsy-the-perspective-of-the-trainee
#14
L Zhou, M Camp, A Gahukamble, K L Willoughby, M Harambasic, C Molesworth, A Khot, H K Graham
BACKGROUND: There are a range of implants for fixation of proximal femoral osteotomies (PFOs) in children. We investigated the training experiences and preferences of orthopaedic residents and fellows who were learning PFO, using a fixed angled blade plate (ABP) or a locking, cannulated blade plate (LCBP). We also studied short-term technical and radiographic outcomes. METHODS: This was a prospective, parallel-group, cohort study of 90 consecutive children and adolescents with cerebral palsy who underwent bilateral PFOs with ABP or LCBP...
2017: Journal of Children's Orthopaedics
https://www.readbyqxmd.com/read/28439250/differential-impact-of-visuospatial-working-memory-on-rule-based-and-information-integration-category-learning
#15
Qiang Xing, Hailong Sun
Previous studies have indicated that the category learning system is a mechanism with multiple processing systems, and that working memory has different effects on category learning. But how does visuospatial working memory affect perceptual category learning? As there is no definite answer to this question, we conducted three experiments. In Experiment 1, the dual-task paradigm with sequential presentation was adopted to investigate the influence of visuospatial working memory on rule-based and information-integration category learning...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28439014/brain-networks-for-confidence-weighting-and-hierarchical-inference-during-probabilistic-learning
#16
Florent Meyniel, Stanislas Dehaene
Learning is difficult when the world fluctuates randomly and ceaselessly. Classical learning algorithms, such as the delta rule with constant learning rate, are not optimal. Mathematically, the optimal learning rule requires weighting prior knowledge and incoming evidence according to their respective reliabilities. This "confidence weighting" implies the maintenance of an accurate estimate of the reliability of what has been learned. Here, using fMRI and an ideal-observer analysis, we demonstrate that the brain's learning algorithm relies on confidence weighting...
April 24, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28438706/towards-generalizable-entity-centric-clinical-coreference-resolution
#17
Timothy Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova
OBJECTIVE: This work investigates the problem of clinical coreference resolution in a model that explicitly tracks entities, and aims to measure the performance of that model in both traditional in-domain train/test splits and cross-domain experiments that measure the generalizability of learned models. METHODS: The two methods we compare are a baseline mention-pair coreference system that operates over pairs of mentions with best-first conflict resolution and a mention-synchronous system that incrementally builds coreference chains...
April 21, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28437691/midwifery-participatory-curriculum-development-transformation-through-active-partnership
#18
Mary Sidebotham, Caroline Walters, Janine Chipperfield, Jenny Gamble
Evolving knowledge and professional practice combined with advances in pedagogy and learning technology create challenges for accredited professional programs. Internationally a sparsity of literature exists around curriculum development for professional programs responsive to regulatory and societal drivers. This paper evaluates a participatory curriculum development framework, adapted from the community development sector, to determine its applicability to promote engagement and ownership during the development of a Bachelor of Midwifery curriculum at an Australian University...
April 15, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28437528/automated-staging-of-age-related-macular-degeneration-using-optical-coherence-tomography
#19
Freerk G Venhuizen, Bram van Ginneken, Freekje van Asten, Mark J J P van Grinsven, Sascha Fauser, Carel B Hoyng, Thomas Theelen, Clara I Sánchez
Purpose: To evaluate a machine learning algorithm that automatically grades age-related macular degeneration (AMD) severity stages from optical coherence tomography (OCT) scans. Methods: A total of 3265 OCT scans from 1016 patients with either no signs of AMD or with signs of early, intermediate, or advanced AMD were randomly selected from a large European multicenter database. A machine learning system was developed to automatically grade unseen OCT scans into different AMD severity stages without requiring retinal layer segmentation...
April 1, 2017: Investigative Ophthalmology & Visual Science
https://www.readbyqxmd.com/read/28436893/a-parallel-multiclassification-algorithm-for-big-data-using-an-extreme-learning-machine
#20
Mingxing Duan, Kenli Li, Xiangke Liao, Keqin Li
As data sets become larger and more complicated, an extreme learning machine (ELM) that runs in a traditional serial environment cannot realize its ability to be fast and effective. Although a parallel ELM (PELM) based on MapReduce to process large-scale data shows more efficient learning speed than identical ELM algorithms in a serial environment, some operations, such as intermediate results stored on disks and multiple copies for each task, are indispensable, and these operations create a large amount of extra overhead and degrade the learning speed and efficiency of the PELMs...
April 24, 2017: IEEE Transactions on Neural Networks and Learning Systems
keyword
keyword
9066
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"