keyword
MENU ▼
Read by QxMD icon Read
search

Natural language processing

keyword
https://www.readbyqxmd.com/read/28092773/how-does-a-newly-encountered-face-become-familiar-the-effect-of-within-person-variability-on-adults-and-children-s-perception-of-identity
#1
Kristen A Baker, Sarah Laurence, Catherine J Mondloch
Adults and children aged 6years and older easily recognize multiple images of a familiar face, but often perceive two images of an unfamiliar face as belonging to different identities. Here we examined the process by which a newly encountered face becomes familiar, defined as accurate recognition of multiple images that capture natural within-person variability in appearance. In Experiment 1 we examined whether exposure to within-person variability in appearance helps children learn a new face. Children aged 6-13years watched a 10-min video of a woman reading a story; she was filmed on a single day (low variability) or over three days, across which her appearance and filming conditions (e...
January 13, 2017: Cognition
https://www.readbyqxmd.com/read/28079400/dysphagia-therapy-post-stroke-an-exploration-of-the-practices-and-clinical-decision-making-of-speech-language-pathologists-in-australia
#2
Olivia Jones, Jade Cartwright, Anne Whitworth, Naomi Cocks
PURPOSE: A variety of dysphagia management options are available for the treatment of dysphagia following a stroke, however, it is unknown which of these approaches are most commonly utilised by Australian speech-language pathologists (SLPs) and whether particular factors influence decision-making. METHOD: The aim of this study was to investigate, through an online survey, the treatment practices of SLPs in Australia for the treatment of dysphagia post-stroke and identify the factors influencing treatment decisions...
January 12, 2017: International Journal of Speech-language Pathology
https://www.readbyqxmd.com/read/28066971/the-association-between-diffusion-mri-defined-infarct-volume-and-nihss-score-in-patients-with-minor-acute-stroke
#3
Shadi Yaghi, Charlotte Herber, Amelia K Boehme, Howard Andrews, Joshua Z Willey, Sara K Rostanski, Matthew Siket, Mahesh V Jayaraman, Ryan A McTaggart, Karen L Furie, Randolph S Marshall, Ronald M Lazar, Bernadette Boden-Albala
BACKGROUND: Prior studies have shown a correlation between the National Institutes of Health Stroke Scale (NIHSS) and stroke volume on diffusion weighted imaging (DWI); data are more limited in patients with minor stroke. We sought to determine the association between DWI lesion(s) volume and the (1) total NIHSS score and (2) NIHSS component scores in patients with minor stroke. METHODS: We included all patients with minor stroke (NIHSS 0-5) enrolled in the Stroke Warning Information and Faster Treatment study...
January 9, 2017: Journal of Neuroimaging: Official Journal of the American Society of Neuroimaging
https://www.readbyqxmd.com/read/28065201/the-foundations-of-human-cooperation-in-teaching-and-imitation
#4
Kevin N Laland
Humans exhibit extensive large-scale cooperation, of a form unprecedented in the natural world. Here I suggest that this cooperation arises in our species alone because of our uniquely potent capacities for social learning, imitation and teaching, combined with the co-evolutionary feedbacks that these capabilities have generated on the human mind. Culture took human populations down evolutionary pathways not available to non-cultural species, either by creating conditions that promoted established cooperative mechanisms, such as indirect reciprocity and mutualism, or by generating novel cooperative mechanisms not seen in other taxa, such as cultural group selection...
January 9, 2017: Spanish Journal of Psychology
https://www.readbyqxmd.com/read/28062392/variations-in-facebook-posting-patterns-across-validated-patient-health-conditions-a-prospective-cohort-study
#5
Robert J Smith, Patrick Crutchley, H Andrew Schwartz, Lyle Ungar, Frances Shofer, Kevin A Padrez, Raina M Merchant
BACKGROUND: Social media is emerging as an insightful platform for studying health. To develop targeted health interventions involving social media, we sought to identify the patient demographic and disease predictors of frequency of posting on Facebook. OBJECTIVE: The aims were to explore the language topics correlated with frequency of social media use across a cohort of social media users within a health care setting, evaluate the differences in the quantity of social media postings across individuals with different disease diagnoses, and determine if patients could accurately predict their own levels of social media engagement...
January 6, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28060227/preoperative-opioid-use-is-associated-with-early-revision-after-total-knee-arthroplasty-a-study-of-male-patients-treated-in-the-veterans-affairs-system
#6
Alon Ben-Ari, Howard Chansky, Irene Rozet
BACKGROUND: Opioid use is endemic in the U.S. and is associated with morbidity and mortality. The impact of long-term opioid use on joint-replacement outcomes remains unknown. We tested the hypothesis that use of opioids is associated with adverse outcomes after total knee arthroplasty (TKA). METHODS: We performed a retrospective analysis of patients who had had TKA within the U.S. Veterans Affairs (VA) system over a 6-year period and had been followed for 1 year postoperatively...
January 4, 2017: Journal of Bone and Joint Surgery. American Volume
https://www.readbyqxmd.com/read/28059555/synchrony-detection-of-linguistic-stimuli-in-the-presence-of-faces-neuropsychological-implications-for-language-development-in-asd
#7
Elena Patten, Jeffrey D Labban, Devin M Casenhiser, Catherine L Cotton
Children with autism spectrum disorders (ASD) may be impaired in their ability to detect audiovisual synchrony and their ability may be influenced by the nature of the stimuli. We investigated the possibility that synchrony detection is disrupted by the presence of human faces by testing children with ASD using a preferential looking language-based paradigm. Children with low language abilities were significantly worse at detecting synchrony when the stimuli include an unobscured face than when the face was obscured...
January 6, 2017: Developmental Neuropsychology
https://www.readbyqxmd.com/read/28058272/language-in-context-meg-evidence-for-modality-general-and-specific-responses-to-reference-resolution
#8
Christian Brodbeck, Laura Gwilliams, Liina Pylkkänen
Successful language comprehension critically depends on our ability to link linguistic expressions to the entities they refer to. Without reference resolution, newly encountered language cannot be related to previously acquired knowledge. The human experience includes many different types of referents, some visual, some auditory, some very abstract. Does the neural basis of reference resolution depend on the nature of the referents, or do our brains use a modality-general mechanism for linking meanings to referents? Here we report evidence for both...
November 2016: ENeuro
https://www.readbyqxmd.com/read/28055847/show-and-tell-lessons-learned-from-the-2015-mscoco-image-captioning-challenge
#9
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing. In this paper, we present a generative model based on a deep recurrent architecture that combines recent advances in computer vision and machine translation and that can be used to generate natural sentences describing an image. The model is trained to maximize the likelihood of the target description sentence given the training image. Experiments on several datasets show the accuracy of the model and the fluency of the language it learns solely from image descriptions...
July 7, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28054823/estradiol-related-variations-in-top-down-and-bottom-up-processes-of-cerebral-lateralization
#10
Sophie Hodgetts, Susanne Weis, Markus Hausmann
OBJECTIVE: Natural fluctuations of sex hormones have been shown to modulate cerebral lateralization in dichotic listening tasks. Two recent studies presented contradictory notions regarding the mechanism of this effect. Specifically, whereas Hjelmervik et al. (2012) suggested that estradiol affects lateralization by enhancing top-down processes, such as cognitive control, Hodgetts, Weis, and Hausmann, (2015) suggested that the effect was attributable to estradiol-related variations in bottom-up aspects of lateralization...
January 5, 2017: Neuropsychology
https://www.readbyqxmd.com/read/28052483/natural-language-processing-to-ascertain-two-key-variables-from-operative-reports-in-ophthalmology
#11
Liyan Liu, Neal H Shorstein, Laura B Amsden, Lisa J Herrinton
PURPOSE: Antibiotic prophylaxis is critical to ophthalmology and other surgical specialties. We performed natural language processing (NLP) of 743 838 operative notes recorded for 315 246 surgeries to ascertain two variables needed to study the comparative effectiveness of antibiotic prophylaxis in cataract surgery. The first key variable was an exposure variable, intracameral antibiotic injection. The second was an intraoperative complication, posterior capsular rupture (PCR), which functioned as a potential confounder...
January 3, 2017: Pharmacoepidemiology and Drug Safety
https://www.readbyqxmd.com/read/28050745/an-evolving-ecosystem-for-natural-language-processing-in-department-of-veterans-affairs
#12
Jennifer H Garvin, Megha Kalsy, Cynthia Brandt, Stephen L Luther, Guy Divita, Gregory Coronado, Doug Redd, Carrie Christensen, Brent Hill, Natalie Kelly, Qing Zeng Treitler
In an ideal clinical Natural Language Processing (NLP) ecosystem, researchers and developers would be able to collaborate with others, undertake validation of NLP systems, components, and related resources, and disseminate them. We captured requirements and formative evaluation data from the Veterans Affairs (VA) Clinical NLP Ecosystem stakeholders using semi-structured interviews and meeting discussions. We developed a coding rubric to code interviews. We assessed inter-coder reliability using percent agreement and the kappa statistic...
February 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28050714/characterization-of-change-and-significance-for-clinical-findings-in-radiology-reports-through-natural-language-processing
#13
Saeed Hassanpour, Graham Bay, Curtis P Langlotz
We built a natural language processing (NLP) method to automatically extract clinical findings in radiology reports and characterize their level of change and significance according to a radiology-specific information model. We utilized a combination of machine learning and rule-based approaches for this purpose. Our method is unique in capturing different features and levels of abstractions at surface, entity, and discourse levels in text analysis. This combination has enabled us to recognize the underlying semantics of radiology report narratives for this task...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28034982/enhancing-risk-assessment-in-patients-receiving-chronic-opioid-analgesic-therapy-using-natural-language-processing
#14
Irina V Haller, Colleen M Renier, Mitch Juusola, Paul Hitz, William Steffen, Michael J Asmus, Terri Craig, Jack Mardekian, Elizabeth T Masters, Thomas E Elliott
OBJECTIVES:  Clinical guidelines for the use of opioids in chronic noncancer pain recommend assessing risk for aberrant drug-related behaviors prior to initiating opioid therapy. Despite recent dramatic increases in prescription opioid misuse and abuse, use of screening tools by clinicians continues to be underutilized. This research evaluated natural language processing (NLP) together with other data extraction techniques for risk assessment of patients considered for opioid therapy as a means of predicting opioid abuse...
December 29, 2016: Pain Medicine: the Official Journal of the American Academy of Pain Medicine
https://www.readbyqxmd.com/read/28032554/detection-of-clinically-important-colorectal-surgical-site-infection-using-bayesian-network
#15
Sunghwan Sohn, David W Larson, Elizabeth B Habermann, James M Naessens, Jasim Y Alabbad, Hongfang Liu
BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-time surveillance of clinical practice has been sparse and expensive or nonexistent. However, natural language processing (NLP) and machine learning (i.e., Bayesian network analysis) may provide the methodology necessary to approach this issue in a new way. We investigated the ability to identify SSIs after colorectal surgery (CRS) through an automated detection system using a Bayesian network...
October 5, 2016: Journal of Surgical Research
https://www.readbyqxmd.com/read/28018494/research-on-individual-differences-in-executive-functions-implications-for-the-bilingual-advantage-hypothesis
#16
Naomi P Friedman
Executive functions (EFs), such as response inhibition, interference control, and set shifting, are general-purpose control mechanisms that enable individuals to regulate their thoughts and behaviors. Because bilingual individuals use EF-like processes during language control, researchers have become interested in the hypothesis that this use might train EFs, resulting in better performance on non-linguistic EF tasks. Although this bilingual advantage hypothesis seems straightforward to test, it involves a number of important decisions in terms of how to assess bilingualism and EFs...
2016: Linguistic Approaches to Bilingualism
https://www.readbyqxmd.com/read/28007752/assessment-of-the-uterus-with-three-dimensional-ultrasound-in-women-undergoing-art
#17
REVIEW
Sotirios H Saravelos, Kannamannadiar Jayaprakasan, Kamal Ojha, Tin-Chiu Li
BACKGROUND: A detailed assessment of the uterus forms a pivotal part of the ART treatment process. The emergence of three-dimensional ultrasound (3D US) has provided clinicians with a highly powerful tool in this respect. Assessments with 3D US range from the reconstruction of anatomical planes elusive to conventional US, to the objective measurement of anatomical volumes and vascularization parameters. However, despite the ever increasing number of publications emerging in the literature, the question of which aspects of 3D US are of most clinical value remains a topic of debate...
December 21, 2016: Human Reproduction Update
https://www.readbyqxmd.com/read/28006016/measuring-emotion-in-parliamentary-debates-with-automated-textual-analysis
#18
Ludovic Rheault, Kaspar Beelen, Christopher Cochrane, Graeme Hirst
An impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, we still know very little about the emotional states of those actors whose daily decisions have a lasting impact on our societies: politicians in parliament. We address this question by making use of methods of natural language processing and a digitized corpus of text data spanning a century of parliamentary debates in the United Kingdom. We use this approach to examine changes in aggregate levels of emotional polarity in the British parliament, and to test a hypothesis about the emotional response of politicians to economic recessions...
2016: PloS One
https://www.readbyqxmd.com/read/28004958/associative-judgment-and-vector-space-semantics
#19
Sudeep Bhatia
I study associative processing in high-level judgment using vector space semantic models. I find that semantic relatedness, as quantified by these models, is able to provide a good measure of the associations involved in judgment, and, in turn, predict responses in a large number of existing and novel judgment tasks. My results shed light on the representations underlying judgment, and highlight the close relationship between these representations and those at play in language and in the assessment of word meaning...
January 2017: Psychological Review
https://www.readbyqxmd.com/read/28000980/qualitative-study-of-peer-workers-within-the-partners-in-recovery-programme-in-regional-australia
#20
John Hurley, Andrew Cashin, Jem Mills, Marie Hutchinson, Desiree Kazlowski, Iain Graham
In Australia and internationally, Peer Workers are increasingly being incorporated into the mental health workforce. Underpinning this trend is the conviction that the inclusion of workers with lived experience in overcoming mental health challenges is central to transforming service delivery. Given there are few identified Australian studies into the experiences of Peer Workers, this paper reports findings from qualitative interviews conducted in a Partners In Recovery programme in one regional area in Australia...
December 21, 2016: International Journal of Mental Health Nursing
keyword
keyword
12311
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"