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https://www.readbyqxmd.com/read/28742789/evaluation-of-appropriate-venous-thromboembolism-prophylaxis-in-orthopaedic-trauma-patients-with-symptom-driven-vascular-and-radiographic-studies
#1
Christopher M Domes, Anneliese M Schleyer, James M McQueen, Ronald F Pergamit, Daphne M Beingessner
OBJECTIVE: To evaluate venous thromboembolism (VTE) prophylaxis adherence and effectiveness in orthopaedic trauma patients who had vascular or radiographic studies showing deep vein thromboses (DVTs) or pulmonary emboli (PEs). DESIGN: Retrospective review SETTING:: This study was conducted at a level I trauma center that independently services a 5 state region. The medical records of patients treated surgically between July 2010 and March 2013 were interrogated using a technical tool that electronically captures thrombotic event data from vascular and radiologic imaging studies via natural language processing...
July 24, 2017: Journal of Orthopaedic Trauma
https://www.readbyqxmd.com/read/28738423/continued-statin-prescriptions-after-adverse-reactions-and-patient-outcomes-a-cohort-study
#2
Huabing Zhang, Jorge Plutzky, Maria Shubina, Alexander Turchin
Background: Many patients discontinue statin treatment, often after having a possible adverse reaction. The risks and benefits of continued statin therapy after an adverse reaction are not known. Objective: To examine the relationship between continuation of statin therapy (any prescription within 12 months after an adverse reaction) and clinical outcomes. Design: Retrospective cohort study. Setting: Primary care practices affiliated with 2 academic medical centers...
July 25, 2017: Annals of Internal Medicine
https://www.readbyqxmd.com/read/28737868/languaje-what-makes-us-humans
#3
Horacio Lejarraga
Pediatrician carry out the surveillance of language in preschool children as one of the components of child development (language, fine and gross motor skills, etc.). However, language is more than that. The process of transformation of the magic meaning on the word present in the initial stages of human evolution (Myth period) into a new, symbolic meaning as representative of the object (Logos period) took around 40,000 years. With the mastering of language, man was capable of thinking; from then onwards, these two functions, thought and language, became inextricably linked, the evolved hand in hand...
August 1, 2017: Archivos Argentinos de Pediatría
https://www.readbyqxmd.com/read/28736776/emojinet-building-a-machine-readable-sense-inventory-for-emoji
#4
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran
Emoji are a contemporary and extremely popular way to enhance electronic communication. Without rigid semantics attached to them, emoji symbols take on different meanings based on the context of a message. Thus, like the word sense disambiguation task in natural language processing, machines also need to disambiguate the meaning or 'sense' of an emoji. In a first step toward achieving this goal, this paper presents EmojiNet, the first machine readable sense inventory for emoji. EmojiNet is a resource enabling systems to link emoji with their context-specific meaning...
November 2016: Proc Int Workshop Soc Inform
https://www.readbyqxmd.com/read/28735586/cognitive-development-prior-to-onset-of-psychosis
#5
J Mollon, A Reichenberg
Schizophrenia patients commonly exhibit substantial and diffuse cognitive impairment. Evidence suggests that subtle cognitive deficits are already apparent in childhood and adolescence, many years prior to onset of psychosis. While there is almost unequivocal evidence of some degree of cognitive impairment in individuals who later develop schizophrenia, the literature remains inconclusive regarding the exact nature of this impairment and warrants careful review and interpretation. Meta-analytic findings suggest that individuals who later develop schizophrenia, but not related disorders, such as bipolar disorder, exhibit a premorbid IQ deficit of around 8 points...
July 24, 2017: Psychological Medicine
https://www.readbyqxmd.com/read/28734863/significant-linkage-evidence-for-interstitial-cystitis-painful-bladder-syndrome-on-chromosome-3
#6
Kristina Allen-Brady, Kerry Rowe, Melissa Cessna, Sara Lenherr, Peggy Norton
PURPOSE: Interstitial cystitis/painful bladder syndrome (IC/PBS) is a chronic pelvic pain condition with unknown etiology. We hypothesized that related IC/PBS cases were more likely to have a genetic etiology. The purpose of this study was to perform a genetic linkage analysis. MATERIALS AND METHODS: IC/PBS cases were identified using diagnostic codes linked to a population-based genealogy resource (Utah Population Database) and electronic medical records. For this analysis, 13 high-risk pedigrees (defined as having a statistical excess number of IC/PBS cases among descendants compared to matched hospital population rates) were used...
July 19, 2017: Journal of Urology
https://www.readbyqxmd.com/read/28729030/natural-language-processing-systems-for-capturing-and-standardizing-unstructured-clinical-information-a-systematic-review
#7
REVIEW
Kory Kreimeyer, Matthew Foster, Abhishek Pandey, Nina Arya, Gwendolyn Halford, Sandra F Jones, Richard Forshee, Mark Walderhaug, Taxiarchis Botsis
We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text. Seven literature databases were searched with a query combining the concepts of natural language processing and structured data capture. Two reviewers screened all records for relevance during two screening phases, and information about clinical NLP systems was collected from the final set of papers...
July 17, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28727776/language-related-differences-of-the-sustained-response-evoked-by-natural-speech-sounds
#8
Christina Siu-Dschu Fan, Xingyu Zhu, Hans Günter Dosch, Christiane von Stutterheim, André Rupp
In tonal languages, such as Mandarin Chinese, the pitch contour of vowels discriminates lexical meaning, which is not the case in non-tonal languages such as German. Recent data provide evidence that pitch processing is influenced by language experience. However, there are still many open questions concerning the representation of such phonological and language-related differences at the level of the auditory cortex (AC). Using magnetoencephalography (MEG), we recorded transient and sustained auditory evoked fields (AEF) in native Chinese and German speakers to investigate language related phonological and semantic aspects in the processing of acoustic stimuli...
2017: PloS One
https://www.readbyqxmd.com/read/28718304/the-role-of-surgery-in-low-grade-gliomas-do-timing-and-extent-of-resection-matter
#9
Hugues Duffau
Hugues Duffau is a Professor and Chairman of the Neurosurgery Department in the Montpellier University Medical Center and Head of the INSERM 1051 Team "plasticity of the central nervous system, human stem cells and glial tumors" at the Institute for Neurosciences of Montpellier (France). He is an expert in the awake cognitive neurosurgery of slow-growing brain tumors, such as low-grade gliomas, a routine which he has developed since 20 years. His fundamental approach is centered on the concepts of the brain connectomics and neuroplasticity, breaking with the traditional localizationist view of cerebral processing...
July 18, 2017: CNS Oncology
https://www.readbyqxmd.com/read/28716965/neural-tuning-to-low-level-features-of-speech-throughout-the-perisylvian-cortex
#10
Julia Berezutskaya, Zachary V Freudenburg, Umut Güçlü, Marcel A J van Gerven, Nick F Ramsey
Despite a large body of research, we continue to lack a detailed account of how auditory processing of continuous speech unfolds in the human brain. Previous research showed the propagation of low-level acoustic features of speech from posterior superior temporal gyrus towards anterior superior temporal gyrus in the human brain (Hullett et al., 2016). In this study we investigate what happens to these neural representations past the superior temporal gyrus, and how they engage higher-level language processing areas, such as inferior frontal gyrus...
July 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28716789/identification-of-the-delivery-of-cognitive-behavioural-therapy-for-psychosis-cbtp-using-a-cross-sectional-sample-from-electronic-health-records-and-open-text-information-in-a-large-uk-based-mental-health-case-register
#11
Craig Colling, Lauren Evans, Matthew Broadbent, David Chandran, Thomas J Craig, Anna Kolliakou, Robert Stewart, Philippa A Garety
OBJECTIVE: Our primary objective was to identify cognitive behavioural therapy (CBT) delivery for people with psychosis (CBTp) using an automated method in a large electronic health record database. We also examined what proportion of service users with a diagnosis of psychosis were recorded as having received CBTp within their episode of care during defined time periods provided by early intervention or promoting recovery community services for people with psychosis, compared with published audits and whether demographic characteristics differentially predicted the receipt of CBTp...
July 17, 2017: BMJ Open
https://www.readbyqxmd.com/read/28715718/when-speaker-identity-is-unavoidable-neural-processing-of-speaker-identity-cues-in-natural-speech
#12
Alba Tuninetti, Kateřina Chládková, Varghese Peter, Niels O Schiller, Paola Escudero
Speech sound acoustic properties vary largely across speakers and accents. When perceiving speech, adult listeners normally disregard non-linguistic variation caused by speaker or accent differences, in order to comprehend the linguistic message, e.g. to correctly identify a speech sound or a word. Here we tested whether the process of normalizing speaker and accent differences, facilitating the recognition of linguistic information, is found at the level of neural processing, and whether it is modulated by the listeners' native language...
July 14, 2017: Brain and Language
https://www.readbyqxmd.com/read/28714447/feasibility-of-automating-patient-acuity-measurement-using-a-machine-learning-algorithm
#13
Caitlin W Brennan, Frank Meng, Mark M Meterko, Leonard W D'Avolio
BACKGROUND AND PURPOSE: One method of determining nurse staffing is to match patient demand for nursing care (patient acuity) with available nursing staff. This pilot study explored the feasibility of automating acuity measurement using a machine learning algorithm. METHODS: Natural language processing combined with a machine learning algorithm was used to predict acuity levels based on electronic health record data. RESULTS: The algorithm was able to predict acuity relatively well...
December 1, 2016: Journal of Nursing Measurement
https://www.readbyqxmd.com/read/28707176/estimating-the-average-need-of-semantic-knowledge-from-distributional-semantic-models
#14
Geoff Hollis
Continuous bag of words (CBOW) and skip-gram are two recently developed models of lexical semantics (Mikolov, Chen, Corrado, & Dean, Advances in Neural Information Processing Systems, 26, 3111-3119, 2013). Each has been demonstrated to perform markedly better at capturing human judgments about semantic relatedness than competing models (e.g., latent semantic analysis; Landauer & Dumais, Psychological Review, 104(2), 1997 211; hyperspace analogue to language; Lund & Burgess, Behavior Research Methods, Instruments, & Computers, 28(2), 203-208, 1996)...
July 13, 2017: Memory & Cognition
https://www.readbyqxmd.com/read/28699566/entity-recognition-from-clinical-texts-via-recurrent-neural-network
#15
Zengjian Liu, Ming Yang, Xiaolong Wang, Qingcai Chen, Buzhou Tang, Zhe Wang, Hua Xu
BACKGROUND: Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entities and protected health information (PHI), widely exist in clinical texts. Recognizing these entities has become a hot topic in clinical natural language processing (NLP), and a large number of traditional machine learning methods, such as support vector machine and conditional random field, have been deployed to recognize entities from clinical texts in the past few years...
July 5, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28699553/introduction-the-international-conference-on-intelligent-biology-and-medicine-icibm-2016-special-focus-on-medical-informatics-and-big-data
#16
Cui Tao, Yang Gong, Hua Xu, Zhongming Zhao
In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) held on December 8-10, 2016 in Houston, Texas, USA, and then briefly introduce the ten research articles included in this supplement issue. At ICIBM 2016, a special theme, "Medical Informatics and Big Data," was dedicated to the recent advances of data science in the medical domain. After peer review, ten articles were selected for this special issue, covering topics such as Knowledge and Data Personalization, Social Media Applications to Healthcare, Clinical Natural Language Processing, Patient Safety Analyses, and Data Mining Using Electronic Health Records...
July 5, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28699547/lightweight-predicate-extraction-for-patient-level-cancer-information-and-ontology-development
#17
Muhammad Amith, Hsing-Yi Song, Yaoyun Zhang, Hua Xu, Cui Tao
BACKGROUND: Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. We focus towards the development of ontologies for the public health domain and use patient-centric sources from MedlinePlus related to HPV-causing cancers. METHODS: This paper demonstrates the use of a lightweight open information extraction (OIE) tool to derive accurate knowledge triples that can lead to the seeding of an ontological knowledgebase...
July 5, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28699546/an-active-learning-enabled-annotation-system-for-clinical-named-entity-recognition
#18
Yukun Chen, Thomas A Lask, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C Denny, Hua Xu
BACKGROUND: Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few studies have investigated AL in a real-life setting in medical domain. METHODS: In this study, we developed the first AL-enabled annotation system for clinical named entity recognition (NER) with a novel AL algorithm. Besides the simulation study to evaluate the novel AL algorithm, we further conducted user studies with two nurses using this system to assess the performance of AL in real world annotation processes for building clinical NER models...
July 5, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28691732/prereader-to-beginning-reader-changes-induced-by-reading-acquisition-in-print-and-speech-brain-networks
#19
Katarzyna Chyl, Bartosz Kossowski, Agnieszka Dębska, Magdalena Łuniewska, Anna Banaszkiewicz, Agata Żelechowska, Stephen J Frost, William Einar Mencl, Marek Wypych, Artur Marchewka, Kenneth R Pugh, Katarzyna Jednoróg
BACKGROUND: Literacy acquisition is a demanding process that induces significant changes in the brain, especially in the spoken and written language networks. Nevertheless, large-scale paediatric fMRI studies are still limited. METHODS: We analyzed fMRI data to show how individual differences in reading performance correlate with brain activation for speech and print in 111 children attending kindergarten or first grade and examined group differences between a matched subset of emergent-readers and prereaders...
July 10, 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28690129/graph-theoretical-analysis-of-functional-network-for-comprehension-of-sign-language
#20
Lanfang Liu, Xin Yan, Jin Liu, Mingrui Xia, Chunming Lu, Karen Emmorey, Mingyuan Chu, Guosheng Ding
Signed languages are natural human languages using the visual-motor modality. Previous neuroimaging studies based on univariate activation analysis show that a widely overlapped cortical network is recruited regardless whether the sign language is comprehended (for signers) or not (for non-signers). Here we move beyond previous studies by examining whether the functional connectivity profiles and the underlying organizational structure of the overlapped neural network may differ between signers and non-signers when watching sign language...
July 6, 2017: Brain Research
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