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Natural language processing

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https://www.readbyqxmd.com/read/28643174/natural-language-processing-for-ehr-based-pharmacovigilance-a-structured-review
#1
REVIEW
Yuan Luo, William K Thompson, Timothy M Herr, Zexian Zeng, Mark A Berendsen, Siddhartha R Jonnalagadda, Matthew B Carson, Justin Starren
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is a comprehensive structured review of recent advances in applying natural language processing (NLP) to electronic health record (EHR) narratives for pharmacovigilance. We review methods of varying complexity and problem focus, summarize the current state-of-the-art in methodology advancement, discuss limitations and point out several promising future directions...
June 22, 2017: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
https://www.readbyqxmd.com/read/28639832/comparing-diagnostic-performance-of-digital-breast-tomosynthesis-and-full-field-digital-mammography-in-a-hybrid-screening-environment
#2
Catherine S Giess, Sarvenaz Pourjabbar, Ivan K Ip, Ronilda Lacson, Emily Alper, Ramin Khorasani
OBJECTIVE: The purpose of this study is to compare the diagnostic performance of screening digital breast tomosynthesis (DBT) to that of full-field digital mammography (FFDM) in a mixed DBT and FFDM imaging environment. MATERIALS AND METHODS: This retrospective observational study consisted of all female patients undergoing screening DBT or FFDM at an academic medical center and outpatient imaging facility between October 2012 and May 2015. Patient demographics and personal history of breast cancer were collected from the electronic medical record...
June 22, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/28638023/-the-development-of-ideas-about-the-organization-of-the-speech-system
#3
V A Karlov, V M Shklovskiy, V S Zolovkina
This work represents an insight into a problem of studying one of the higher mental functions of humans - speech, its primary role in the development of man as a biosocial being. Various concepts of speech and the problem of the dominance of cerebral hemispheres in language function are analyzed. It touched upon the ontogenesis of hemispheric asymmetry. The problem of 'codominance' of right and left hemispheres depending on the nature of the task solving by the subject and the functional level of information processing is discussed...
2017: Zhurnal Nevrologii i Psikhiatrii Imeni S.S. Korsakova
https://www.readbyqxmd.com/read/28634427/leveraging-food-and-drug-administration-adverse-event-reports-for-the-automated-monitoring-of-electronic-health-records-in-a-pediatric-hospital
#4
Huaxiu Tang, Imre Solti, Eric Kirkendall, Haijun Zhai, Todd Lingren, Jaroslaw Meller, Yizhao Ni
The objective of this study was to determine whether the Food and Drug Administration's Adverse Event Reporting System (FAERS) data set could serve as the basis of automated electronic health record (EHR) monitoring for the adverse drug reaction (ADR) subset of adverse drug events. We retrospectively collected EHR entries for 71 909 pediatric inpatient visits at Cincinnati Children's Hospital Medical Center. Natural language processing (NLP) techniques were used to identify positive diseases/disorders and signs/symptoms (DDSSs) from the patients' clinical narratives...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28634156/classifying-chinese-questions-related-to-health-care-posted-by-consumers-via-the-internet
#5
Haihong Guo, Xu Na, Li Hou, Jiao Li
BACKGROUND: In question answering (QA) system development, question classification is crucial for identifying information needs and improving the accuracy of returned answers. Although the questions are domain-specific, they are asked by non-professionals, making the question classification task more challenging. OBJECTIVE: This study aimed to classify health care-related questions posted by the general public (Chinese speakers) on the Internet. METHODS: A topic-based classification schema for health-related questions was built by manually annotating randomly selected questions...
June 20, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28634104/natural-language-processing-for-asthma-ascertainment-in-different-practice-settings
#6
Chung-Il Wi, Sunghwan Sohn, Mir Ali, Elizabeth Krusemark, Euijung Ryu, Hongfang Liu, Young J Juhn
BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based on predetermined asthma criteria (PAC) for asthma ascertainment using electronic health records at Mayo Clinic. OBJECTIVE: To adapt NLP-PAC in a different health care setting, Sanford Children Hospital, by assessing its external validity. METHODS: The study was designed as a retrospective cohort study that used a random sample of 2011-2012 Sanford Birth cohort (n = 595)...
June 17, 2017: Journal of Allergy and Clinical Immunology in Practice
https://www.readbyqxmd.com/read/28632303/audition-specific-temporal-processing-deficits-associated-with-language-function-in-children-with-autism-spectrum-disorder
#7
Jennifer H Foss-Feig, Kimberly B Schauder, Alexandra P Key, Mark T Wallace, Wendy L Stone
Sensory processing alterations are highly prevalent in autism spectrum disorder (ASD). Neurobiologically-based theories of ASD propose that abnormalities in the processing of temporal aspects of sensory input could underlie core symptoms of ASD. For example, rapid auditory temporal processing is critical for speech perception, and language difficulties are central to the social communication deficits defining the disorder. This study assessed visual and auditory temporal processing abilities and tested their relation to core ASD symptoms...
June 20, 2017: Autism Research: Official Journal of the International Society for Autism Research
https://www.readbyqxmd.com/read/28630655/neural-patterns-elicited-by-sentence-processing-uniquely-characterize-typical-development-sli-recovery-and-sli-persistence
#8
Eileen Haebig, Christine Weber, Laurence B Leonard, Patricia Deevy, J Bruce Tomblin
BACKGROUND: A substantial amount of work has examined language abilities in young children with specific language impairment (SLI); however, our understanding of the developmental trajectory of language impairment is limited. Along with studying the behavioral changes that occur across development, it is important to examine the neural indices of language processing for children with different language trajectories. The current study sought to examine behavioral and neural bases of language processing in adolescents showing three different trajectories: those with normal language development (NL), those exhibiting persistent SLI (SLI-Persistent), and those with a history of SLI who appear to have recovered (SLI-Recovered)...
2017: Journal of Neurodevelopmental Disorders
https://www.readbyqxmd.com/read/28630032/what-are-people-tweeting-about-zika-an-exploratory-study-concerning-its-symptoms-treatment-transmission-and-prevention
#9
Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth
BACKGROUND: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus. OBJECTIVE: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment...
June 19, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28627690/data-mining-and-pathway-analysis-of-glucose-6-phosphate-dehydrogenase-with-natural-language-processing
#10
Long Chen, Chunhua Zhang, Yanling Wang, Yuqian Li, Qiaoqiao Han, Huixin Yang, Yuechun Zhu
Human glucose-6-phosphate dehydrogenase (G6PD) is a crucial enzyme in the pentose phosphate pathway, and serves an important role in biosynthesis and the redox balance. G6PD deficiency is a major cause of neonatal jaundice and acute hemolyticanemia, and recently, G6PD has been associated with diseases including inflammation and cancer. The aim of the present study was to conduct a search of the National Center for Biotechnology Information PubMed library for articles discussing G6PD. Genes that were identified to be associated with G6PD were recorded, and the frequency at which each gene appeared was calculated...
June 15, 2017: Molecular Medicine Reports
https://www.readbyqxmd.com/read/28624642/drugsemantics-a-corpus-for-named-entity-recognition-in-spanish-summaries-of-product-characteristics
#11
Isabel Moreno, Ester Boldrini, Paloma Moreda, M Teresa Romá-Ferri
For the healthcare sector, it is critical to exploit the vast amount of textual health-related information. Nevertheless, healthcare providers have difficulties to benefit from such quantity of data during pharmacotherapeutic care. The problem is that such information is stored in different sources and their consultation time is limited. In this context, Natural Language Processing techniques can be applied to efficiently transform textual data into structured information so that it could be used in critical healthcare applications, being of help for physicians in their daily workload, such as: decision support systems, cohort identification, patient management, etc...
June 14, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28622808/characterizing-and-predicting-rates-of-delirium-across-general-hospital-settings
#12
Thomas H McCoy, Kamber L Hart, Roy H Perlis
OBJECTIVE: To better understand variation in reported rates of delirium, this study characterized delirium occurrence rate by department of service and primary admitting diagnosis. METHOD: Nine consecutive years (2005-2013) of general hospital admissions (N=831,348) were identified across two academic medical centers using electronic health records. The primary admitting diagnosis and the treating clinical department were used to calculate occurrence rates of a previously published delirium definition composed of billing codes and natural language processing of discharge summaries...
May 2017: General Hospital Psychiatry
https://www.readbyqxmd.com/read/28622755/cross-sensory-correspondences-heaviness-is-dark-and-low-pitched
#13
Peter Walker, Gabrielle Scallon, Brian Francis
Everyday language reveals how stimuli encoded in one sensory feature domain can possess qualities normally associated with a different domain (e.g., higher pitch sounds are bright, light in weight, sharp, and thin). Such cross-sensory associations appear to reflect crosstalk among aligned (corresponding) feature dimensions, including brightness, heaviness, and sharpness. Evidence for heaviness being one such dimension is very limited, with heaviness appearing primarily as a verbal associate of other feature contrasts (e...
July 2017: Perception
https://www.readbyqxmd.com/read/28622615/domain-general-neural-correlates-of-dependency-formation-using-complex-tones-to-simulate-language
#14
Ingmar Brilmayer, Jona Sassenhagen, Ina Bornkessel-Schlesewsky, Matthias Schlesewsky
There is an ongoing debate whether the P600 event-related potential component following syntactic anomalies reflects syntactic processes per se, or if it is an instance of the P300, a domain-general ERP component associated with attention and cognitive reorientation. A direct comparison of both components is challenging because of the huge discrepancy in experimental designs and stimulus choice between language and 'classic' P300 experiments. In the present study, we develop a new approach to mimic the interplay of sequential position as well as categorical and relational information in natural language syntax (word category and agreement) in a non-linguistic target detection paradigm using musical instruments...
May 30, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28621012/supporting-people-with-aphasia-to-settle-into-a-new-way-to-be-speech-and-language-therapists-views-on-providing-psychosocial-support
#15
Sarah Northcott, Alan Simpson, Becky Moss, Nafiso Ahmed, Katerina Hilari
BACKGROUND: People with aphasia are at risk of becoming depressed and isolated. Online surveys have found that the majority of speech and language therapists (SLTs) lack confidence in addressing the psychological needs of people with aphasia. AIMS: To explore how SLTs conceptualize the scope of their role; barriers and facilitators to SLTs addressing psychosocial needs; and SLTs' experiences of specialist training and support, and working with mental health professionals (MHPs)...
June 16, 2017: International Journal of Language & Communication Disorders
https://www.readbyqxmd.com/read/28619652/frontal-temporal-and-parietal-systems-synchronize-within-and-across-brains-during-live-eye-to-eye-contact
#16
Joy Hirsch, Xian Zhang, J Adam Noah, Yumie Ono
Human eye-to-eye contact is a primary source of social cues and communication. In spite of the biological significance of this interpersonal interaction, the underlying neural processes are not well-understood. This knowledge gap, in part, reflects limitations of conventional neuroimaging methods, including solitary confinement in the bore of a scanner and minimal tolerance of head movement that constrain investigations of natural, two-person interactions. However, these limitations are substantially resolved by recent technical developments in functional near-infrared spectroscopy (fNIRS), a non-invasive spectral absorbance technique that detects changes in blood oxygen levels in the brain by using surface-mounted optical sensors...
June 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28614702/de-identification-of-psychiatric-intake-records-overview-of-2016-cegs-n-grid-shared-tasks-track-1
#17
Amber Stubbs, Michele Filannino, Özlem Uzuner
The 2016 CEGS N-GRID shared tasks for clinical records contained three tracks. Track 1 focused on de-identification of a new corpus of 1,000 psychiatric intake records. This track tackled de-identification in two sub-tracks: Track 1.A was a "sight unseen" task, where nine teams ran existing de-identification systems, without any modifications or training, on 600 new records in order to gauge how well systems generalize to new data. The best-performing system for this track scored an F1 of 0.799. Track 1.B was a traditional Natural Language Processing (NLP) shared task on de-identification, where 15 teams had two months to train their systems on the new data, then test it on an unannotated test set...
June 11, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28611016/how-do-you-relax-when-you-re-stressed-a-content-analysis-and-infodemiology-study-of-stress-related-tweets
#18
Son Doan, Amanda Ritchart, Nicholas Perry, Juan D Chaparro, Mike Conway
BACKGROUND: Stress is a contributing factor to many major health problems in the United States, such as heart disease, depression, and autoimmune diseases. Relaxation is often recommended in mental health treatment as a frontline strategy to reduce stress, thereby improving health conditions. Twitter is a microblog platform that allows users to post their own personal messages (tweets), including their expressions about feelings and actions related to stress and stress management (eg, relaxing)...
June 13, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28609206/predicting-recidivism-among-internet-child-sex-sting-offenders-using-psychological-language-analysis
#19
Michelle Drouin, Ryan L Boyd, Miriam Greidanus Romaneli
In this study, we examined the extent to which computerized linguistic analysis of natural language data from chat transcripts of Internet child sex stings predicted recidivism among 334 convicted offenders. Using the Linguistic Inquiry and Word Count (LIWC) program, we found that reoffenders (including simultaneous and previous offenders) differed significantly from nonreoffenders in measures of clout (a composite measure of social dominance) and percentage of words used in the following linguistic categories: cognitive processes, personal pronoun use, insight, time, and ingestion...
June 13, 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28606869/predicting-mental-conditions-based-on-history-of-present-illness-in-psychiatric-notes-with-deep-neural-networks
#20
Tung Tran, Ramakanth Kavuluru
BACKGROUND: Applications of natural language processing to mental health notes are not common given the sensitive nature of the associated narratives. The CEGS N-GRID 2016 Shared Task in Clinical Natural Language Processing (NLP) changed this scenario by providing the first set of neuropsychiatric notes to participants. This study summarizes our efforts and results in proposing a novel data use case for this dataset as part of the third track in this shared task. OBJECTIVE: We explore the feasibility and effectiveness of predicting a set of common mental conditions a patient has based on the short textual description of patient's history of present illness typically occurring in the beginning of a psychiatric initial evaluation note...
June 9, 2017: Journal of Biomedical Informatics
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