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https://www.readbyqxmd.com/read/28936186/assessing-the-formation-of-experience-based-gender-expectations-in-an-implicit-learning-scenario
#1
Anton Öttl, Dawn M Behne
The present study investigates the formation of new word-referent associations in an implicit learning scenario, using a gender-coded artificial language with spoken words and visual referents. Previous research has shown that when participants are explicitly instructed about the gender-coding system underlying an artificial lexicon, they monitor the frequency of exposure to male vs. female referents within this lexicon, and subsequently use this probabilistic information to predict the gender of an upcoming referent...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28935617/the-adverse-drug-reactions-from-patient-reports-in-social-media-project-five-major-challenges-to-overcome-to-operationalize-analysis-and-efficiently-support-pharmacovigilance-process
#2
Cedric Bousquet, Badisse Dahamna, Sylvie Guillemin-Lanne, Stefan J Darmoni, Carole Faviez, Charles Huot, Sandrine Katsahian, Vincent Leroux, Suzanne Pereira, Christophe Richard, Stéphane Schück, Julien Souvignet, Agnès Lillo-Le Louët, Nathalie Texier
BACKGROUND: Adverse drug reactions (ADRs) are an important cause of morbidity and mortality. Classical Pharmacovigilance process is limited by underreporting which justifies the current interest in new knowledge sources such as social media. The Adverse Drug Reactions from Patient Reports in Social Media (ADR-PRISM) project aims to extract ADRs reported by patients in these media. We identified 5 major challenges to overcome to operationalize the analysis of patient posts: (1) variable quality of information on social media, (2) guarantee of data privacy, (3) response to pharmacovigilance expert expectations, (4) identification of relevant information within Web pages, and (5) robust and evolutive architecture...
September 21, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28933506/the-international-classification-of-functioning-disability-and-health-icf-in-electronic-health-records-a-systematic-literature-review
#3
Roxanne Maritz, Dominik Aronsky, Birgit Prodinger
BACKGROUND: The International Classification of Functioning, Disability and Health (ICF) is the World Health Organization's standard for describing health and health-related states. Examples of how the ICF has been used in Electronic Health Records (EHRs) have not been systematically summarized and described yet. OBJECTIVES: To provide a systematic review of peer-reviewed literature about the ICF's use in EHRs, including related challenges and benefits. METHODS: Peer-reviewed literature, published between January 2001 and July 2015 was retrieved from Medline(®), CINAHL(®), Scopus(®), and ProQuest(®) Social Sciences using search terms related to ICF and EHR concepts...
September 20, 2017: Applied Clinical Informatics
https://www.readbyqxmd.com/read/28932767/patient-specific-workup-of-adrenal-incidentalomas
#4
REVIEW
Romy R de Haan, Johannes B R Visser, Ewoud Pons, Richard A Feelders, Uzay Kaymak, M G Myriam Hunink, Jacob J Visser
PURPOSE: : To develop a clinical prediction model to predict a clinically relevant adrenal disorder for patients with adrenal incidentaloma. MATERIALS AND METHODS: : This retrospective study is approved by the institutional review board, with waiver of informed consent. Natural language processing is used for filtering of adrenal incidentaloma cases in all thoracic and abdominal CT reports from 2010 till 2012. A total of 635 patients are identified. Stepwise logistic regression is used to construct the prediction model...
2017: European Journal of Radiology Open
https://www.readbyqxmd.com/read/28928680/addressee-identity-and-morphosyntactic-processing-in-basque-allocutive-agreement
#5
Max Wolpert, Simona Mancini, Sendy Caffarra
Information about interlocutor identity is pragmatic in nature and has traditionally been distinguished from explicitly coded linguistic information, including mophosyntax. Study of speaker identity in language processing has questioned this distinction, but addressee identity has been less considered. We used Basque to explore how addressee identity is processed during morphosyntactic analysis. In the familiar register hika, Basque has obligatory allocutive agreement, where verbal morphology represents the gender of a non-argument addressee...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28924815/automatic-determination-of-the-need-for-intravenous-contrast-in-musculoskeletal-mri-examinations-using-ibm-watson-s-natural-language-processing-algorithm
#6
Hari Trivedi, Joseph Mesterhazy, Benjamin Laguna, Thienkhai Vu, Jae Ho Sohn
Magnetic resonance imaging (MRI) protocoling can be time- and resource-intensive, and protocols can often be suboptimal dependent upon the expertise or preferences of the protocoling radiologist. Providing a best-practice recommendation for an MRI protocol has the potential to improve efficiency and decrease the likelihood of a suboptimal or erroneous study. The goal of this study was to develop and validate a machine learning-based natural language classifier that can automatically assign the use of intravenous contrast for musculoskeletal MRI protocols based upon the free-text clinical indication of the study, thereby improving efficiency of the protocoling radiologist and potentially decreasing errors...
September 18, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28924564/signal-processing-of-functional-nirs-data-acquired-during-overt-speaking
#7
Xian Zhang, Jack Adam Noah, Swethasri Dravida, Joy Hirsch
Functional near-infrared spectroscopy (fNIRS) offers an advantage over traditional functional imaging methods [such as functional magnetic resonance imaging (fMRI)] by allowing participants to move and speak relatively freely. However, neuroimaging while actively speaking has proven to be particularly challenging due to the systemic artifacts that tend to be located in the critical brain areas. To overcome these limitations and enhance the utility of fNIRS, we describe methods for investigating cortical activity during spoken language tasks through refinement of deoxyhemoglobin (deoxyHb) signals with principal component analysis (PCA) spatial filtering to remove global components...
October 2017: Neurophotonics
https://www.readbyqxmd.com/read/28919830/identification-of-patients-with-congenital-hemophilia-in-a-large-electronic-health-record-database
#8
Michael Wang, Anissa Cyhaniuk, David L Cooper, Neeraj N Iyer
BACKGROUND: Electronic health records (EHRs) are an important source of information with regard to diagnosis and treatment of rare health conditions, such as congenital hemophilia, a bleeding disorder characterized by deficiency of factor VIII (FVIII) or factor IX (FIX). OBJECTIVE: To identify patients with congenital hemophilia using EHRs. DESIGN: An EHR database study. SETTING: EHRs were accessed from Humedica between January 1, 2007, and July 31, 2013...
2017: Journal of Blood Medicine
https://www.readbyqxmd.com/read/28916254/development-of-a-natural-language-processing-engine-to-generate-bladder-cancer-pathology-data-for-health-services-research
#9
Florian R Schroeck, Olga V Patterson, Patrick R Alba, Erik A Pattison, John D Seigne, Scott L DuVall, Douglas J Robertson, Brenda Sirovich, Philip P Goodney
OBJECTIVE: To take a first step towards assembling population based cohorts of bladder cancer patients with longitudinal pathology data, we developed and validated a natural language processing (NLP) engine that abstracts pathology data from full text pathology reports. METHODS: Using 600 bladder pathology reports randomly selected from the Department of Veterans Affairs, we developed and validated an NLP engine to abstract data on histology, invasion (presence versus absence and depth), grade, presence of muscularis propria, and presence of carcinoma in situ...
September 12, 2017: Urology
https://www.readbyqxmd.com/read/28906424/accurate-identification-of-colonoscopy-quality-and-polyp-findings-using-natural-language-processing
#10
Jeffrey K Lee, Christopher D Jensen, Theodore R Levin, Ann G Zauber, Chyke A Doubeni, Wei K Zhao, Douglas A Corley
OBJECTIVES: The aim of this study was to test the ability of a commercially available natural language processing (NLP) tool to accurately extract examination quality-related and large polyp information from colonoscopy reports with varying report formats. BACKGROUND: Colonoscopy quality reporting often requires manual data abstraction. NLP is another option for extracting information; however, limited data exist on its ability to accurately extract examination quality and polyp findings from unstructured text in colonoscopy reports with different reporting formats...
September 12, 2017: Journal of Clinical Gastroenterology
https://www.readbyqxmd.com/read/28905434/decline-of-insulin-therapy-and-delays-in-insulin-initiation-in-people-with-uncontrolled-diabetes-mellitus
#11
N Hosomura, S Malmasi, D Timerman, V J Lei, H Zhang, L Chang, A Turchin
AIMS: To design and validate a natural language processing algorithm to identify insulin therapy decline from the text of physician notes, and to determine the prevalence of insulin therapy decline and its impact on insulin initiation. METHODS: We designed the algorithm using the publicly available natural language processing platform Canary. We evaluated the accuracy of the algorithm on 1501 randomly selected primary care physicians' notes from the electronic medical record system of a large academic medical centre...
September 14, 2017: Diabetic Medicine: a Journal of the British Diabetic Association
https://www.readbyqxmd.com/read/28899820/a-facilitating-role-for-the-primary-motor-cortex-in-action-sentence-processing
#12
Melody Courson, Joël Macoir, Pascale Tremblay
The involvement of the motor system in action language comprehension is a hotly debated topic in cognitive neuroscience and psychology. Recent studies suggest that primary motor cortex (M1) response to action language is context-sensitive rather than automatic and necessary. Specifically, semantic polarity (i.e. affirmative/negative valence) appears to modulate the intensity of this response, which is stronger for affirmative action sentences. The aim of our study was to examine further the context sensitivity of M1 response...
September 9, 2017: Behavioural Brain Research
https://www.readbyqxmd.com/read/28898194/correlate-a-pacs-and-ehr-integrated-tool-leveraging-natural-language-processing-to-provide-automated-clinical-follow-up
#13
Mark D Kovacs, Joseph Mesterhazy, David Avrin, Thomas Urbania, John Mongan
A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictated. Traditional methods, such as keeping medical record number follow-up lists, discussing cases with rounding clinical teams, and discussing cases at tumor boards, are effective at keeping radiologists informed of clinical outcomes but are time intensive and provide follow-up for a small subset of cases. To this end, the authors developed a picture archiving and communication system-accessible electronic health record (EHR)-integrated program called Correlate, which allows the user to easily enter free-text search queries regarding desired clinical follow-up information, with minimal interruption to the workflow...
September 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/28895943/machine-learned-and-codified-synthesis-parameters-of-oxide-materials
#14
Edward Kim, Kevin Huang, Alex Tomala, Sara Matthews, Emma Strubell, Adam Saunders, Andrew McCallum, Elsa Olivetti
Predictive materials design has rapidly accelerated in recent years with the advent of large-scale resources, such as materials structure and property databases generated by ab initio computations. In the absence of analogous ab initio frameworks for materials synthesis, high-throughput and machine learning techniques have recently been harnessed to generate synthesis strategies for select materials of interest. Still, a community-accessible, autonomously-compiled synthesis planning resource which spans across materials systems has not yet been developed...
September 12, 2017: Scientific Data
https://www.readbyqxmd.com/read/28893314/design-of-an-extensive-information-representation-scheme-for-clinical-narratives
#15
Louise Deléger, Leonardo Campillos, Anne-Laure Ligozat, Aurélie Névéol
BACKGROUND: Knowledge representation frameworks are essential to the understanding of complex biomedical processes, and to the analysis of biomedical texts that describe them. Combined with natural language processing (NLP), they have the potential to contribute to retrospective studies by unlocking important phenotyping information contained in the narrative content of electronic health records (EHRs). This work aims to develop an extensive information representation scheme for clinical information contained in EHR narratives, and to support secondary use of EHR narrative data to answer clinical questions...
September 11, 2017: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/28891380/stories-of-hell-and-healing-internet-users-construction-of-benzodiazepine-distress-and-withdrawal
#16
Alison M Fixsen, Damien Ridge
Benzodiazepines are a group of drugs used mainly as sedatives, hypnotics, antiepileptics, and muscle relaxants. Consumption is recommended for 2 to 4 weeks only, due to fast onset of dependency and potentially distressing withdrawal symptoms. Few peer-review studies have drawn on the user experiences and language to appreciate firsthand experiences of benzodiazepine withdrawal or discontinuation syndrome. We looked extensively at patient stories of benzodiazepine withdrawal and recovery on Internet support sites and YouTube...
September 1, 2017: Qualitative Health Research
https://www.readbyqxmd.com/read/28890153/medicinal-plants-for-in-vitro-antiplasmodial-activities-a-systematic-review-of-literature
#17
REVIEW
Martha Tibebu Lemma, Ali Mahmoud Ahmed, Mohamed Tamer Elhady, Huyen Thi Ngo, Tran Le-Huy Vu, To Kim Sang, Eduardo Campos-Alberto, Abdelrahman Sayed, Shusaku Mizukami, Kesara Na-Bangchang, Nguyen Tien Huy, Kenji Hirayama, Juntra Karbwang
The increasing resistance of malaria to drugs raise the need to new antimalarial agents. Antiplasmodial herbs and their active compounds are the most promising source the new antimalarial agents. This study aimed to identify the medicinal plants with very good in vitro antiplasmodial activities, with half-maximal inhibitory concentration (IC50)≤1μg/ml, and to determine trends in the process of screening their antiplasmodial activities. A total of 58 reports published in the English language were retrieved from the bibliographical databases...
September 7, 2017: Parasitology International
https://www.readbyqxmd.com/read/28888294/occupy-the-government-analyzing-presidential-and-congressional-discursive-response-to-movement-repression
#18
Joshua Gary Mausolf
I examine the role of Occupy Wall Street in shifting presidential and congressional discourse on economic fairness and inequality. Using data from 4646 presidential speeches and 1256 congressional records from 2009 to 2015, I test different mechanisms, including repression, media coverage, public opinion, and presidential agenda-setting by applying a novel combination of web scraping, natural language processing, and time series models. I suggest that movement success can be measured in its ability to shape discursive opportunity structures, and I argue that the role of the president should be at the forefront of social movements research...
September 2017: Social Science Research
https://www.readbyqxmd.com/read/28887865/plasma-rich-plasma-the-ultimate-secret-for-youthful-skin-elixir-and-hair-growth-triggering
#19
REVIEW
Ebtisam Elghblawi
The clinical application of platelet-rich plasma (PRP) is based on the increase in the concentration of growth factors that are released from alpha-granule of the concentrated platelets and in the secretion of proteins which are able to capitalize on the healing process at the cellular level. It has been invented to restore the natural beauty by starting the natural rejuvenation process of the skin and aiming to make it function as a younger one and to keep the skin youthful and maintain it. Besides that, it is also emerged to include hairs as a new injectable procedure to enable stimulating hair growth locally and topically; preventing its fall; improving hair shaft, hair stem, and its caliber; increasing its shine, vitality, and pliability; and declining hair splitting and breakage...
September 8, 2017: Journal of Cosmetic Dermatology
https://www.readbyqxmd.com/read/28884079/podophyllotoxin-a-novel-potential-natural-anticancer-agent
#20
REVIEW
Hamidreza Ardalani, Amir Avan, Majid Ghayour-Mobarhan
OBJECTIVE: The aim of the present review is to give an overview about the role, biosynthesis, and characteristics of Podophyllotoxin (PTOX) as a potential antitumor agent with particular emphasis on key biosynthesis processes, function of related enzymes and characterization of genes encoding the enzymes. MATERIALS AND METHODS: Google scholar, PubMed and Scopus were searched for literatures which have studied identification, characterization, fermentation and therapeutic effects of PTOX and published in English language until end of 2016...
July 2017: Avicenna Journal of Phytomedicine
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