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https://www.readbyqxmd.com/read/29347951/health-related-quality-of-life-among-healthy-elderly-iranians-a-systematic-review-and-meta-analysis-of-the-literature
#1
REVIEW
Sogand Tourani, Masoud Behzadifar, Mariano Martini, Aidin Aryankhesal, Masood Taheri Mirghaed, Morteza Salemi, Meysam Behzadifar, Nicola Luigi Bragazzi
BACKGROUND: Health-related quality of life (HRQoL) measurement in elderly people can provide appropriate information for an optimal management of physical/mental conditions. The main objective of the present study was to quantitatively assess the HRQoL among healthy elder Iranian individuals as measured by the Short-Form 36 (SF-36) questionnaire, both overall and at the level of each its single component/domain. METHODS: This study was designed as a systematic review and meta-analysis, following the "Preferred Reporting Results of Systematic Reviews and Meta-Analyses" (PRISMA) guidelines...
January 18, 2018: Health and Quality of Life Outcomes
https://www.readbyqxmd.com/read/29343218/loctext-relation-extraction-of-protein-localizations-to-assist-database-curation
#2
Juan Miguel Cejuela, Shrikant Vinchurkar, Tatyana Goldberg, Madhukar Sollepura Prabhu Shankar, Ashish Baghudana, Aleksandar Bojchevski, Carsten Uhlig, André Ofner, Pandu Raharja-Liu, Lars Juhl Jensen, Burkhard Rost
BACKGROUND: The subcellular localization of a protein is an important aspect of its function. However, the experimental annotation of locations is not even complete for well-studied model organisms. Text mining might aid database curators to add experimental annotations from the scientific literature. Existing extraction methods have difficulties to distinguish relationships between proteins and cellular locations co-mentioned in the same sentence. RESULTS: LocText was created as a new method to extract protein locations from abstracts and full texts...
January 17, 2018: BMC Bioinformatics
https://www.readbyqxmd.com/read/29336870/trends-in-singing-voice-research-an-innovative-approach
#3
Pedro Melo Pestana, Vaz Freitas Susana, Maria Conceição Manso
OBJECTIVES: The objectives of this study were to trace and describe research patterns in singing voice, to compare the amount of published research over time, to identify journals that published most papers on "singing voice," and to establish the most frequent research topics. MATERIALS AND METHODS: The study uses qualitative and quantitative approaches through descriptive statistics, text mining, and clustering. The authors conducted a search to identify scientific papers...
January 11, 2018: Journal of Voice: Official Journal of the Voice Foundation
https://www.readbyqxmd.com/read/29332530/reconciliation-of-patient-doctor-vocabulary-in-a-structured-resource
#4
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/29330123/a-bibliometric-review-of-drug-repurposing
#5
REVIEW
Nancy C Baker, Sean Ekins, Antony J Williams, Alexander Tropsha
We have conducted a bibliometric review of drug repurposing by scanning >25 million papers in PubMed and using text-mining methods to gather, count and analyze chemical-disease therapeutic relationships. We find that >60% of the ∼35 000 drugs or drug candidates identified in our study have been tried in more than one disease, including 189 drugs that have been tried in >300 diseases each. Whereas in the majority of cases these drugs were applied in therapeutic areas close to their original use, there have been striking, and perhaps instructive, successful attempts of drug repurposing for unexpected, novel therapeutic areas...
January 9, 2018: Drug Discovery Today
https://www.readbyqxmd.com/read/29327123/text-mining-of-rheumatoid-arthritis-and-diabetes-mellitus-to-understand-the-mechanisms-of-chinese-medicine-in-different-diseases-with-same-treatment
#6
Ning Zhao, Guang Zheng, Jian Li, Hong-Yan Zhao, Cheng Lu, Miao Jiang, Chi Zhang, Hong-Tao Guo, Ai-Ping Lu
OBJECTIVE: To identify the commonalities between rheumatoid arthritis (RA) and diabetes mellitus (DM) to understand the mechanisms of Chinese medicine (CM) in different diseases with the same treatment. METHODS: A text mining approach was adopted to analyze the commonalities between RA and DM according to CM and biological elements. The major commonalities were subsequently verifified in RA and DM rat models, in which herbal formula for the treatment of both RA and DM identifified via text mining was used as the intervention...
January 9, 2018: Chinese Journal of Integrative Medicine
https://www.readbyqxmd.com/read/29322912/usage-of-cell-nomenclature-in-biomedical-literature
#7
Şenay Kafkas, Sirarat Sarntivijai, Robert Hoehndorf
BACKGROUND: Cell lines and cell types are extensively studied in biomedical research yielding to a significant amount of publications each year. Identifying cell lines and cell types precisely in publications is crucial for science reproducibility and knowledge integration. There are efforts for standardisation of the cell nomenclature based on ontology development to support FAIR principles of the cell knowledge. However, it is important to analyse the usage of cell nomenclature in publications at a large scale for understanding the level of uptake of cell nomenclature in literature by scientists...
December 21, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29305937/of-mice-and-men-traces-of-life-in-the-death-registries-of-the-1630-plague-in-milano
#8
Alfonsina D'Amato, Gleb Zilberstein, Svetlana Zilberstein, Benedetto Luigi Compagnoni, Pier Giorgio Righetti
The death registries of the plague epidemic of 1630, stored at the Archivio di Stato of Milano, have been interrogated via the EVA film technology (ethyl vinyl acetate film studded with crushed strong anion and cation exchangers as well as C8 resins). The EVA diskettes have been left in contact with the lower right margins of 11 different pages pertaining to the peak months of the raging disease (June through end of September) for 60-90min and then the captured material, after elution and digestion, analysed by mass spectrometry...
January 3, 2018: Journal of Proteomics
https://www.readbyqxmd.com/read/29300701/speech2health-a-mobile-framework-for-monitoring-dietary-composition-from-spoken-data
#9
Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervention studies, however, stringent monitoring of overall dietary composition and energy intake is needed. Currently, such a monitoring relies on self-reported data by either entering text or taking an image that represents food intake. These approaches suffer from limitations such as low adherence in technology adoption and time sensitivity to the diet intake context...
January 2018: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/29297359/multiple-kernels-learning-based-biological-entity-relationship-extraction-method
#10
Xu Dongliang, Pan Jingchang, Wang Bailing
BACKGROUND: Automatic extracting protein entity interaction information from biomedical literature can help to build protein relation network and design new drugs. There are more than 20 million literature abstracts included in MEDLINE, which is the most authoritative textual database in the field of biomedicine, and follow an exponential growth over time. This frantic expansion of the biomedical literature can often be difficult to absorb or manually analyze. Thus efficient and automated search engines are necessary to efficiently explore the biomedical literature using text mining techniques...
September 20, 2017: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/29296561/an-analysis-of-the-combination-frequencies-of-constituent-medicinal-herbs-in-prescriptions-for-the-treatment-of-bone-and-joint-disorder-in-korean-medicine-determination-of-a-group-of-candidate-prescriptions-for-universal-use
#11
Yoo Kyoung Han, Seo Yul Kim, Jae Young Ahn, Jin Ung Baek
Background: This study aimed to select prescriptions (mixtures of medicinal herbs) used in the treatment of bone and joint disorders in Korean medicine, and through the analysis of medicinal herb combination frequencies, select a high-frequency medicinal herb combination group for further experimental and clinical research. Methods: We systematically searched for terms related to bone and joint disorder in the "Dongeuibogam (Dong yibaojian)", a seminal Korean medicine book...
December 2017: Integrative Medicine Research
https://www.readbyqxmd.com/read/29281638/mplasso-inferring-microbial-association-networks-using-prior-microbial-knowledge
#12
Chieh Lo, Radu Marculescu
Due to the recent advances in high-throughput sequencing technologies, it becomes possible to directly analyze microbial communities in human body and environment. To understand how microbial communities adapt, develop, and interact with the human body and the surrounding environment, one of the fundamental challenges is to infer the interactions among different microbes. However, due to the compositional and high-dimensional nature of microbial data, statistical inference cannot offer reliable results. Consequently, new approaches that can accurately and robustly estimate the associations (putative interactions) among microbes are needed to analyze such compositional and high-dimensional data...
December 27, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/29276807/dave-detecting-agitated-vocal-events
#13
Asif Salekin, Hongning Wang, Kristine Williams, John Stankovic
DAVE is a comprehensive set of event detection techniques to monitor and detect 5 important verbal agitations: asking for help, verbal sexual advances, questions, cursing, and talking with repetitive sentences. The novelty of DAVE includes combining acoustic signal processing with three different text mining paradigms to detect verbal events (asking for help, verbal sexual advances, and questions) which need both lexical content and acoustic variations to produce accurate results. To detect cursing and talking with repetitive sentences we extend word sense disambiguation and sequential pattern mining algorithms...
July 2017: ...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies
https://www.readbyqxmd.com/read/29261751/egard-extracting-associations-between-genomic-anomalies-and-drug-responses-from-text
#14
A S M Ashique Mahmood, Shruti Rao, Peter McGarvey, Cathy Wu, Subha Madhavan, K Vijay-Shanker
Tumor molecular profiling plays an integral role in identifying genomic anomalies which may help in personalizing cancer treatments, improving patient outcomes and minimizing risks associated with different therapies. However, critical information regarding the evidence of clinical utility of such anomalies is largely buried in biomedical literature. It is becoming prohibitive for biocurators, clinical researchers and oncologists to keep up with the rapidly growing volume and breadth of information, especially those that describe therapeutic implications of biomarkers and therefore relevant for treatment selection...
2017: PloS One
https://www.readbyqxmd.com/read/29258972/characteristics-of-articles-about-human-papillomavirus-vaccination-in-japanese-newspapers-time-series-analysis-study
#15
Nao Ueda, Ryoki Yokouchi, Taro Onoda, Atsushi Ogihara
BACKGROUND: Media coverage and reports have a major influence on individual vaccination and other health-related activities. People use the media to seek information and knowledge on health-related behaviors. They obtain health-related information from media such as television and newspapers, and they trust such information. While several studies have examined the relation between media coverage and individual health, there is a lack of studies that have analyzed media reports of health information...
December 19, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/29240040/effects-of-the-work-limitations-on-the-career-path-of-a-cohort-of-health-workers
#16
Donatella Talini, Gianpaolo Romeo, Alberto Baldasseroni, Aldo Mignani, Alfonso Cristaudo
BACKGROUND: The median age of the workforce, and of healthcare workers in particular, is increasing, resulting in a reduced work capacity. This may prompt the occupational physician to issue fitness for work limitations. OBJECTIVES: To examine the health surveillance data collected over 20 years on the employees of a large healthcare institution to identify the effects of the limitations imposed on their career paths. METHODS: The database of health surveillance records gathered over the years was analysed using the same dedicated software...
December 14, 2017: La Medicina del Lavoro
https://www.readbyqxmd.com/read/29238346/generating-a-tolerogenic-cell-therapy-knowledge-graph-from-literature
#17
Andre Lamurias, João D Ferreira, Luka A Clarke, Francisco M Couto
Tolerogenic cell therapies provide an alternative to conventional immunosuppressive treatments of autoimmune disease and address, among other goals, the rejection of organ or stem cell transplants. Since various methodologies can be followed to develop tolerogenic therapies, it is important to be aware and up to date on all available studies that may be relevant to their improvement. Recently, knowledge graphs have been proposed to link various sources of information, using text mining techniques. Knowledge graphs facilitate the automatic retrieval of information about the topics represented in the graph...
2017: Frontiers in Immunology
https://www.readbyqxmd.com/read/29236676/supervised-learning-and-knowledge-based-approaches-applied-to-biomedical-word-sense-disambiguation
#18
Rui Antunes, Sérgio Matos
Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems. In this work we followed supervised and knowledge-based disambiguation approaches, with the best results obtained by supervised means. In the supervised method we used bag-of-words as local features, and word embeddings as global features. In the knowledge-based method we combined word embeddings, concept textual definitions extracted from the UMLS database, and concept association values calculated from the MeSH co-occurrence counts from MEDLINE articles...
December 13, 2017: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/29231553/-the-method-and-application-to-construct-experience-recommendation-platform-of-acupuncture-ancient-books-based-on-data-mining-technology
#19
Chuyun Chen, Jiaming Hong, Weilin Zhou, Guohua Lin, Zhengfei Wang, Qufei Zhang, Cuina Lu, Lihong Lu
OBJECTIVE: To construct a knowledge platform of acupuncture ancient books based on data mining technology, and to provide retrieval service for users. METHODS: The Oracle 10 g database was applied and JAVA was selected as development language; based on the standard library and ancient books database established by manual entry, a variety of data mining technologies, including word segmentation, speech tagging, dependency analysis, rule extraction, similarity calculation, ambiguity analysis, supervised classification technology were applied to achieve text automatic extraction of ancient books; in the last, through association mining and decision analysis, the comprehensive and intelligent analysis of disease and symptom, meridians, acupoints, rules of acupuncture and moxibustion in acupuncture ancient books were realized, and retrieval service was provided for users through structure of browser/server (B/S)...
July 12, 2017: Zhongguo Zhen Jiu, Chinese Acupuncture & Moxibustion
https://www.readbyqxmd.com/read/29228281/the-intriguing-evolution-of-effect-sizes-in-biomedical-research-over-time-smaller-but-more-often-statistically-significant
#20
Paul Monsarrat, Jean-Noel Vergnes
Background: In medicine, effect sizes (ESs) allow the effects of independent variables (including risk/protective factors, or treatment interventions) on dependent variables (e.g., health outcomes) to be quantified. Given that many public health decisions and health care policies are based on ES estimates, it is important to assess how ESs are used in the biomedical literature and to investigate potential trends in their reporting over time. Results: Through a big data approach, the text mining process automatically extracted 814 120 ESs from 13 322 754 PubMed abstracts...
December 6, 2017: GigaScience
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