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Consumer Health Vocabulary

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https://www.readbyqxmd.com/read/29429062/towards-precision-medicine-a-new-biomedical-cosmology
#1
M W Vegter
Precision Medicine has become a common label for data-intensive and patient-driven biomedical research. Its intended future is reflected in endeavours such as the Precision Medicine Initiative in the USA. This article addresses the question whether it is possible to discern a new 'medical cosmology' in Precision Medicine, a concept that was developed by Nicholas Jewson to describe comprehensive transformations involving various dimensions of biomedical knowledge and practice, such as vocabularies, the roles of patients and physicians and the conceptualisation of disease...
February 10, 2018: Medicine, Health Care, and Philosophy
https://www.readbyqxmd.com/read/29332530/reconciliation-of-patient-doctor-vocabulary-in-a-structured-resource
#2
Mike Donald Tapi Nzali, Jérôme Aze, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Optiz
Today, social media is increasingly used by patients to openly discuss their health. Mining automatically such data is a challenging task because of the non-structured nature of the text and the use of many abbreviations and the slang terms. Our goal is to use Patient Authored Text to build a French Consumer Health Vocabulary on breast cancer field, by collecting various kinds of non-experts' expressions that are related to their diseases and then compare them to biomedical terms used by health care professionals...
January 1, 2018: Health Informatics Journal
https://www.readbyqxmd.com/read/29198963/prenatal-phthalate-exposure-and-language-development-in-toddlers-from-the-odense-child-cohort
#3
Trine Staak Olesen, Dorthe Bleses, Helle Raun Andersen, Philippe Grandjean, Hanne Frederiksen, Fabio Trecca, Niels Bilenberg, Henriette Boye Kyhl, Louise Dalsager, Inge Kjær Jensen, Anna-Maria Andersson, Tina Kold Jensen
BACKGROUND: Phthalates are a group of chemicals found in a variety of consumer products. They have anti-androgenic properties and human studies have reported associations between prenatal phthalate exposure and neuropsychological development in the offspring despite different cognitive tests, different ages and varying timing of exposure. OBJECTIVES: To investigate the association between prenatal phthalate exposure and language development in children aged 20-36months...
November 30, 2017: Neurotoxicology and Teratology
https://www.readbyqxmd.com/read/29146561/recurrent-neural-networks-with-specialized-word-embeddings-for-health-domain-named-entity-recognition
#4
Iñigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi
BACKGROUND: Previous state-of-the-art systems on Drug Name Recognition (DNR) and Clinical Concept Extraction (CCE) have focused on a combination of text "feature engineering" and conventional machine learning algorithms such as conditional random fields and support vector machines. However, developing good features is inherently heavily time-consuming. Conversely, more modern machine learning approaches such as recurrent neural networks (RNNs) have proved capable of automatically learning effective features from either random assignments or automated word "embeddings"...
November 13, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29089288/ranking-medical-terms-to-support-expansion-of-lay-language-resources-for-patient-comprehension-of-electronic-health-record-notes-adapted-distant-supervision-approach
#5
Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu
BACKGROUND: Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first...
October 31, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28802325/snomed2hl7-a-tool-to-normalize-and-bind-snomed-ct-concepts-to-the-hl7-reference-information-model
#6
D Perez-Rey, R Alonso-Calvo, S Paraiso-Medina, C R Munteanu, M Garcia-Remesal
BACKGROUND: Current clinical research and practice requires interoperability among systems in a complex and highly dynamic domain. There has been a significant effort in recent years to develop integrative common data models and domain terminologies. Such efforts have not completely solved the challenges associated with clinical data that are distributed among different and heterogeneous institutions with different systems to encode the information. Currently, when providing homogeneous interfaces to exploit clinical data, certain transformations still involve manual and time-consuming processes that could be automated...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28694792/context-is-everything-harmonization-of-critical-food-microbiology-descriptors-and-metadata-for-improved-food-safety-and-surveillance
#7
Emma Griffiths, Damion Dooley, Morag Graham, Gary Van Domselaar, Fiona S L Brinkman, William W L Hsiao
Globalization of food networks increases opportunities for the spread of foodborne pathogens beyond borders and jurisdictions. High resolution whole-genome sequencing (WGS) subtyping of pathogens promises to vastly improve our ability to track and control foodborne disease, but to do so it must be combined with epidemiological, clinical, laboratory and other health care data (called "contextual data") to be meaningfully interpreted for regulatory and health interventions, outbreak investigation, and risk assessment...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28385580/food-brand-recognition-and-bmi-in-preschoolers
#8
Kristen Harrison, Jessica Moorman, Mericarmen Peralta, Kally Fayhee
Children's food brand recognition predicts health-related outcomes such as preference for obesogenic foods and increased risk for overweight. However, it is uncertain to what degree food brand recognition acts as a proxy for other factors such as parental education and income, child vocabulary, child age, child race/ethnicity, parent healthy eating guidance, child commercial TV viewing, and child dietary intake, all of which may influence or be influenced by food brand recognition. U.S. preschoolers (N = 247, average age 56 months) were measured for BMI and completed the Peabody Picture Vocabulary Test plus recognition and recall measures for a selection of U...
April 4, 2017: Appetite
https://www.readbyqxmd.com/read/28359728/enriching-consumer-health-vocabulary-through-mining-a-social-q-a-site-a-similarity-based-approach
#9
Zhe He, Zhiwei Chen, Sanghee Oh, Jinghui Hou, Jiang Bian
The widely known vocabulary gap between health consumers and healthcare professionals hinders information seeking and health dialogue of consumers on end-user health applications. The Open Access and Collaborative Consumer Health Vocabulary (OAC CHV), which contains health-related terms used by lay consumers, has been created to bridge such a gap. Specifically, the OAC CHV facilitates consumers' health information retrieval by enabling consumer-facing health applications to translate between professional language and consumer friendly language...
May 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28118840/quality-of-care-in-the-intensive-care-unit-from-the-perspective-of-patient-s-relatives-development-and-psychometric-evaluation-of-the-consumer-quality-index-r-icu
#10
Ans Rensen, Margo M van Mol, Ilse Menheere, Marjan D Nijkamp, Ellen Verhoogt, Bea Maris, Willeke Manders, Lilian Vloet, Lisbeth Verharen
BACKGROUND: The quality standards of the Dutch Society of Intensive Care require monitoring of the satisfaction of patient's relatives with respect to care. Currently, no suitable instrument is available in the Netherlands to measure this. This study describes the development and psychometric evaluation of the questionnaire-based Consumer Quality Index 'Relatives in Intensive Care Unit' (CQI 'R-ICU'). The CQI 'R-ICU' measures the perceived quality of care from the perspective of patients' relatives, and identifies aspects of care that need improvement...
January 24, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#11
Jinying Chen, Jiaping Zheng, Hong Yu
BACKGROUND: Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them...
November 30, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27884812/consumers-use-of-umls-concepts-on-social-media-diabetes-related-textual-data-analysis-in-blog-and-social-q-a-sites
#12
Min Sook Park, Zhe He, Zhiwei Chen, Sanghee Oh, Jiang Bian
BACKGROUND: The widely known terminology gap between health professionals and health consumers hinders effective information seeking for consumers. OBJECTIVE: The aim of this study was to better understand consumers' usage of medical concepts by evaluating the coverage of concepts and semantic types of the Unified Medical Language System (UMLS) on diabetes-related postings in 2 types of social media: blogs and social question and answer (Q&A). METHODS: We collected 2 types of social media data: (1) a total of 3711 blogs tagged with "diabetes" on Tumblr posted between February and October 2015; and (2) a total of 58,422 questions and associated answers posted between 2009 and 2014 in the diabetes category of Yahoo! Answers...
November 24, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27370271/normalizing-acronyms-and-abbreviations-to-aid-patient-understanding-of-clinical-texts-share-clef-ehealth-challenge-2013-task-2
#13
Danielle L Mowery, Brett R South, Lee Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salanterä, Hanna Suominen, David Martinez, Sumithra Velupillai, Noémie Elhadad, Guergana Savova, Sameer Pradhan, Wendy W Chapman
BACKGROUND: The ShARe/CLEF eHealth challenge lab aims to stimulate development of natural language processing and information retrieval technologies to aid patients in understanding their clinical reports. In clinical text, acronyms and abbreviations, also referenced as short forms, can be difficult for patients to understand. For one of three shared tasks in 2013 (Task 2), we generated a reference standard of clinical short forms normalized to the Unified Medical Language System. This reference standard can be used to improve patient understanding by linking to web sources with lay descriptions of annotated short forms or by substituting short forms with a more simplified, lay term...
July 1, 2016: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/26993983/text-mining-for-identifying-topics-in-the-literatures-about-adolescent-substance-use-and-depression
#14
Shi-Heng Wang, Yijun Ding, Weizhong Zhao, Yung-Hsiang Huang, Roger Perkins, Wen Zou, James J Chen
BACKGROUND: Both adolescent substance use and adolescent depression are major public health problems, and have the tendency to co-occur. Thousands of articles on adolescent substance use or depression have been published. It is labor intensive and time consuming to extract huge amounts of information from the cumulated collections. Topic modeling offers a computational tool to find relevant topics by capturing meaningful structure among collections of documents. METHODS: In this study, a total of 17,723 abstracts from PubMed published from 2000 to 2014 on adolescent substance use and depression were downloaded as objects, and Latent Dirichlet allocation (LDA) was applied to perform text mining on the dataset...
March 19, 2016: BMC Public Health
https://www.readbyqxmd.com/read/26918107/vaccine-and-drug-ontology-studies-vdos-2014
#15
EDITORIAL
Cui Tao, Yongqun He, Sivaram Arabandi
The "Vaccine and Drug Ontology Studies" (VDOS) international workshop series focuses on vaccine- and drug-related ontology modeling and applications. Drugs and vaccines have been critical to prevent and treat human and animal diseases. Work in both (drugs and vaccines) areas is closely related - from preclinical research and development to manufacturing, clinical trials, government approval and regulation, and post-licensure usage surveillance and monitoring. Over the last decade, tremendous efforts have been made in the biomedical ontology community to ontologically represent various areas associated with vaccines and drugs - extending existing clinical terminology systems such as SNOMED, RxNorm, NDF-RT, and MedDRA, developing new models such as the Vaccine Ontology (VO) and Ontology of Adverse Events (OAE), vernacular medical terminologies such as the Consumer Health Vocabulary (CHV)...
2016: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/26375493/comparison-of-umls-terminologies-to-identify-risk-of-heart-disease-using-clinical-notes
#16
Chaitanya Shivade, Pranav Malewadkar, Eric Fosler-Lussier, Albert M Lai
The second track of the 2014 i2b2 challenge asked participants to automatically identify risk factors for heart disease among diabetic patients using natural language processing techniques for clinical notes. This paper describes a rule-based system developed using a combination of regular expressions, concepts from the Unified Medical Language System (UMLS), and freely-available resources from the community. With a performance (F1=90.7) that is significantly higher than the median (F1=87.20) and close to the top performing system (F1=92...
December 2015: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/26262408/characterizing-health-information-for-different-target-audiences
#17
Yueping Sun, Zhen Hou, Li Hou, Jiao Li
Different groups of audiences in health care: health professionals and health consumers, each have different information needs. Health monographs targeting different audiences are created by leveraging readers' background knowledge. The NCI's Physician Data Query (PDQ®) Cancer Information Summaries provide parallel cancer information and education resources with different target audiences. In this paper, we used targeted audience-specific cancer information PDQs to measure characteristic differences on the element level between audiences...
2015: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/26262388/consumer-health-vocabulary-a-proposal-for-a-brazilian-portuguese-language
#18
Josceli Maria Tenório, Ivan Torres Pisa
Studies show a gap between the expressions commonly used by health consumers and health professionals. To bridge this gap, consumer health vocabularies are presented as a solution. The aim of this paper is to describe an on-going project to create a consumer health vocabulary (CHV) in the Brazilian Portuguese language. This project will be developed in three phases: terms extraction and connection to compose a CHV graph structure, human validation, and computacional application development. We expect to make a CHV beta version (including approximately 5,000 valid consumer terms stored in a database graph) available...
2015: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/26137885/collecting-and-analyzing-patient-experiences-of-health-care-from-social-media
#19
Majid Rastegar-Mojarad, Zhan Ye, Daniel Wall, Narayana Murali, Simon Lin
BACKGROUND: Social Media, such as Yelp, provides rich information of consumer experience. Previous studies suggest that Yelp can serve as a new source to study patient experience. However, the lack of a corpus of patient reviews causes a major bottleneck for applying computational techniques. OBJECTIVE: The objective of this study is to create a corpus of patient experience (COPE) and report descriptive statistics to characterize COPE. METHODS: Yelp reviews about health care-related businesses were extracted from the Yelp Academic Dataset...
July 2, 2015: JMIR Research Protocols
https://www.readbyqxmd.com/read/25973166/semantic-enrichment-of-longitudinal-clinical-study-data-using-the-cdisc-standards-and-the-semantic-statistics-vocabularies
#20
Hugo Leroux, Laurent Lefort
BACKGROUND: There is an increasing recognition of the need for the data capture phase of clinical studies to be improved and for more effective sharing of clinical data. The Health Care and Life Sciences community has embraced semantic technologies to facilitate the integration of health data from electronic health records, clinical studies and pharmaceutical research. This paper explores the integration of clinical study data exchange standards and semantic statistic vocabularies to deliver clinical data as linked data in a format that is easier to enrich with links to complementary data sources and consume by a broad user base...
2015: Journal of Biomedical Semantics
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