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627 result(s) for 'natural language processing' within BMC Medical Informatics and Decision Making

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  1. Visualization of Concepts in Medicine (VCM) is a compositional iconic language that aims to ease information retrieval in Electronic Health Records (EHR), clinical guidelines or other medical documents. Using ...

    Authors: Nicolas Griffon, Gaetan Kerdelhué, Lina F Soualmia, Tayeb Merabti, Julien Grosjean, Jean-Baptiste Lamy, Alain Venot, Catherine Duclos and Stefan J Darmoni
    Citation: BMC Medical Informatics and Decision Making 2014 14:17
  2. The increasing global cancer incidence corresponds to serious health impact in countries worldwide. Knowledge-powered health system in different languages would enhance clinicians’ healthcare practice, patient...

    Authors: Hetong Ma, Feihong Yang, Jiansong Ren, Ni Li, Min Dai, Xuwen Wang, An Fang, Jiao Li, Qing Qian and Jie He
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):122

    This article is part of a Supplement: Volume 20 Supplement 3

  3. Data mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver precision medicine. Unfortunately, the rule-based and machine learning-b...

    Authors: Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen and Jivitesh Sharma
    Citation: BMC Medical Informatics and Decision Making 2023 23:188
  4. One of the primary obstacles to measure clinical quality is the lack of configurable solutions to make computers understand and compute clinical quality indicators. The paper presents a solution that can help ...

    Authors: Mengyang Li, Hailing Cai, Yunlong Zhi, Zehai Fu, Huilong Duan and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2022 22:37
  5. Automated summarization of scientific literature and patient records is essential for enhancing clinical decision-making and facilitating precision medicine. Most existing summarization methods are based on si...

    Authors: Eva K. Lee and Karan Uppal
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):306

    This article is part of a Supplement: Volume 20 Supplement 14

  6. Feelings of depression can be caused by negative life events (NLE) such as the death of a family member, a quarrel with one’s spouse, job loss, or strong criticism from an authority figure. The automatic and a...

    Authors: Jheng-Long Wu, Xiang Xiao, Liang-Chih Yu, Shao-Zhen Ye and K. Robert Lai
    Citation: BMC Medical Informatics and Decision Making 2019 19:173
  7. PROforma is one of several languages that allow clinical guidelines to be expressed in a computer-interpretable manner. How these languages should be compared, and what requirements they should meet, are quest...

    Authors: David R Sutton, Paul Taylor and Kenneth Earle
    Citation: BMC Medical Informatics and Decision Making 2006 6:20
  8. Controlled vocabularies are fundamental resources for information extraction from clinical texts using natural language processing (NLP). Standard language resources available in the healthcare domain such...

    Authors: Pilar López-Úbeda, Alexandra Pomares-Quimbaya, Manuel Carlos Díaz-Galiano and Stefan Schulz
    Citation: BMC Medical Informatics and Decision Making 2021 21:145
  9. Death records are a rich source of data, which can be used to assist with public surveillance and/or decision support. However, to use this type of data for such purposes it has to be transformed into a coded ...

    Authors: Kailah Davis, Catherine Staes, Jeff Duncan, Sean Igo and Julio C Facelli
    Citation: BMC Medical Informatics and Decision Making 2012 12:37
  10. The standard concepts and relations of CCCT were collected from ICD-10-CM Chinese Version, ICD-9-PC Chinese Version, officially issued commonly used Chinese clinical terms, Chinese guidelines for diagnosis and tr...

    Authors: Na Hong, Fengxiang Chang, Zhengjie Ou, Yishang Wang, Yating Yang, Qiang Guo, Jianhui Ma and Dan Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):309

    This article is part of a Supplement: Volume 21 Supplement 9

  11. Drug repurposing is to find new indications of approved drugs, which is essential for investigating new uses for approved or investigational drug efficiency. The active gene annotation corpus (named AGAC) is a...

    Authors: Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng and Qingcai Chen
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):251

    This article is part of a Supplement: Volume 21 Supplement 9

  12. Adverse Drug Reactions are one of the leading causes of injury or death among patients undergoing medical treatments. Not all Adverse Drug Reactions are identified before a drug is made available in the market...

    Authors: Hariprasad Sampathkumar, Xue-wen Chen and Bo Luo
    Citation: BMC Medical Informatics and Decision Making 2014 14:91
  13. In this editorial, we first summarize the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017) held on November 13, 2017 in Kansas City, Missouri, U.S.A., and then briefly introduce 13 rese...

    Authors: Zhe He, Cui Tao, Jiang Bian, Rui Zhang and Jingshan Huang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):56

    This article is part of a Supplement: Volume 18 Supplement 2

  14. In France, recent developments in healthcare system organization have aimed at strengthening decision-making and action in public health at the regional level. Firstly, the 2004 Public Health Act, by setting 1...

    Authors: Marie-Hélène Metzger, Thierry Durand, Stéphane Lallich, Roger Salamon and Philippe Castets
    Citation: BMC Medical Informatics and Decision Making 2012 12:28
  15. Electronic health records are invaluable for medical research, but much information is stored as free text rather than in a coded form. For example, in the UK General Practice Research Database (GPRD), causes ...

    Authors: Anoop D Shah, Carlos Martinez and Harry Hemingway
    Citation: BMC Medical Informatics and Decision Making 2012 12:88
  16. Automatic speech and language assessment methods (SLAMs) can help clinicians assess speech and language impairments associated with dementia in older adults. The basis of any automatic SLAMs is a machine learn...

    Authors: Mahboobeh (Mah) Parsapoor (Parsa), Muhammad Raisul Alam and Alex Mihailidis
    Citation: BMC Medical Informatics and Decision Making 2023 23:45
  17. Providing scalable clinical decision support (CDS) across institutions that use different electronic health record (EHR) systems has been a challenge for medical informatics researchers. The lack of commonly s...

    Authors: Nadim Anani, Rong Chen, Tiago Prazeres Moreira and Sabine Koch
    Citation: BMC Medical Informatics and Decision Making 2014 14:39
  18. Electronic sources (eSources) can improve data quality and reduce clinical trial costs. Our team has developed an innovative eSource record (ESR) system in China. This study aims to evaluate the efficiency, qu...

    Authors: Bin Wang, Xinbao Hao, Xiaoyan Yan, Junkai Lai, Feifei Jin, Xiwen Liao, Hongju Xie and Chen Yao
    Citation: BMC Medical Informatics and Decision Making 2022 22:98
  19. The study provides empirical evidence for the task by applying a weakly supervised NLP pipeline on clinical notes. The proposed weak supervised deep learning approach requires no human annotation except for valid...

    Authors: Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley and Honghan Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:86
  20. Many medication errors are encountered in drug prescriptions, which would not occur if practitioners could remember the drug properties. They can refer to drug monographs to find these properties, however drug...

    Authors: Jean-Baptiste Lamy, Catherine Duclos, Avner Bar-Hen, Patrick Ouvrard and Alain Venot
    Citation: BMC Medical Informatics and Decision Making 2008 8:16
  21. We compare two types of approaches to translate the FMA terms into French. The first one is UMLS-based on the conceptual information of the UMLS metathesaurus. The second method is lexically-based on several Natural

    Authors: Tayeb Merabti, Lina F Soualmia, Julien Grosjean, Olivier Palombi, Jean-Michel Müller and Stéfan J Darmoni
    Citation: BMC Medical Informatics and Decision Making 2011 11:65
  22. Capturing accurate and machine-interpretable primary data from clinical encounters is a challenging task, yet critical to the integrity of the practice of medicine. We explore the intriguing possibility that t...

    Authors: Jeffrey G Klann and Peter Szolovits
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S3

    This article is part of a Supplement: Volume 9 Supplement 1

  23. Decision aids (DA) to assist patients in evaluating treatment options and sharing in decision making have proliferated in recent years. Most require high literacy and do not use plain language principles. We d...

    Authors: Margaret Holmes-Rovner, Sue Stableford, Angela Fagerlin, John T Wei, Rodney L Dunn, Janet Ohene-Frempong, Karen Kelly-Blake and David R Rovner
    Citation: BMC Medical Informatics and Decision Making 2005 5:16
  24. Medical care commonly involves the apprehension of complex patterns of patient derangements to which the practitioner responds with patterns of interventions, as opposed to single therapeutic maneuvers. This c...

    Authors: Jonathan D Paladino, Philip S Crooke, Christopher R Brackney, A Murat Kaynar and John R Hotchkiss
    Citation: BMC Medical Informatics and Decision Making 2013 13:102
  25. Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemia. The avalanche of healthcare data is accelerating precision and personalized medicine. Artificial intelligence and algorit...

    Authors: Jiancheng Ye, Liang Yao, Jiahong Shen, Rethavathi Janarthanam and Yuan Luo
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):295

    This article is part of a Supplement: Volume 20 Supplement 11

  26. In this article, we study and evaluate a semi-automatic method that generates knowledge graphs (KGs) from biomedical texts in the scientific literature. Our solution explores natural language processing technique...

    Authors: Anderson Rossanez, Julio Cesar dos Reis, Ricardo da Silva Torres and Hélène de Ribaupierre
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):314

    This article is part of a Supplement: Volume 20 Supplement 4

  27. The large volume of medical literature makes it difficult for healthcare professionals to keep abreast of the latest studies that support Evidence-Based Medicine. Natural language processing enhances the access t...

    Authors: Leonardo Campillos-Llanos, Ana Valverde-Mateos, Adrián Capllonch-Carrión and Antonio Moreno-Sandoval
    Citation: BMC Medical Informatics and Decision Making 2021 21:69

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:118

  28. The existing community-wide bodies of biomedical ontologies are known to contain quality and content problems. Past research has revealed various errors related to their semantics and logical structure. Automa...

    Authors: Muhammad Amith, Frank Manion, Chen Liang, Marcelline Harris, Dennis Wang, Yongqun He and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):152

    This article is part of a Supplement: Volume 19 Supplement 4

  29. Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the volume of publications requires the automation of this tedious t...

    Authors: Vincent Martenot, Valentin Masdeu, Jean Cupe, Faustine Gehin, Margot Blanchon, Julien Dauriat, Alexander Horst, Michael Renaudin, Philippe Girard and Jean-Daniel Zucker
    Citation: BMC Medical Informatics and Decision Making 2022 22:338
  30. Medication errors have been identified as the most common preventable cause of adverse events. The lack of granularity in medication error terminology has led pharmacovigilance experts to rely on information in i...

    Authors: Nadine Kadi Eskildsen, Robert Eriksson, Sten B. Christensen, Tamilla Stine Aghassipour, Mikael Juul Bygsø, Søren Brunak and Suzanne Lisbet Hansen
    Citation: BMC Medical Informatics and Decision Making 2020 20:94
  31. Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effect...

    Authors: Esha Singh, Anu Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 1):153

    This article is part of a Supplement: Volume 22 Supplement 1

  32. Identification of negation in electronic health records is essential if we are to understand the computable meaning of the records: Our objective is to compare the accuracy of an automated mechanism for assign...

    Authors: Peter L Elkin, Steven H Brown, Brent A Bauer, Casey S Husser, William Carruth, Larry R Bergstrom and Dietlind L Wahner-Roedler
    Citation: BMC Medical Informatics and Decision Making 2005 5:13
  33. Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer. In this study, we ...

    Authors: Muhammad Amith, Rebecca Z. Lin, Licong Cui, Dennis Wang, Anna Zhu, Grace Xiong, Hua Xu, Kirk Roberts and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):259

    This article is part of a Supplement: Volume 20 Supplement 4

  34. The practice of evidence-based medicine requires efficient biomedical literature search such as PubMed/MEDLINE. Retrieval performance relies highly on the efficient use of search field tags. The purpose of thi...

    Authors: Abu Saleh Mohammad Mosa and Illhoi Yoo
    Citation: BMC Medical Informatics and Decision Making 2013 13:8
  35. Information extraction techniques that get structured representations out of unstructured data make a large amount of clinically relevant information about patients accessible for semantic applications. These ...

    Authors: Martin Toepfer, Hamo Corovic, Georg Fette, Peter Klügl, Stefan Störk and Frank Puppe
    Citation: BMC Medical Informatics and Decision Making 2015 15:91

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2015 15:103

  36. Differentiating between Crohn’s disease (CD) and intestinal tuberculosis (ITB) with endoscopy is challenging. We aim to perform more accurate endoscopic diagnosis between CD and ITB by building a trustworthy A...

    Authors: Keming Lu, Yuanren Tong, Si Yu, Yucong Lin, Yingyun Yang, Hui Xu, Yue Li and Sheng Yu
    Citation: BMC Medical Informatics and Decision Making 2023 23:160
  37. PubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding...

    Authors: Nicolas Griffon, Wiem Chebil, Laetitia Rollin, Gaetan Kerdelhue, Benoit Thirion, Jean-François Gehanno and Stéfan Jacques Darmoni
    Citation: BMC Medical Informatics and Decision Making 2012 12:12
  38. We developed and evaluated a novel spatiotemporal zoning annotation scheme. The results of the scheme evaluation indicate that our annotated corpus and the proposed annotation scheme are reliable and could be eff...

    Authors: Hutchatai Chanlekha, Ai Kawazoe and Nigel Collier
    Citation: BMC Medical Informatics and Decision Making 2010 10:1
  39. Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (MedKGC). MedKGC can find new facts based on...

    Authors: Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu and Jun Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):335

    This article is part of a Supplement: Volume 21 Supplement 9

  40. Knowledges graphs (KGs) serve as a convenient framework for structuring knowledge. A number of computational methods have been developed to generate KGs from biomedical literature and use them for downstream t...

    Authors: Jacqueline Peng, David Xu, Ryan Lee, Siwei Xu, Yunyun Zhou and Kai Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):147

    This article is part of a Supplement: Volume 22 Supplement 2

  41. Clinical trials are mandatory protocols describing medical research on humans and among the most valuable sources of medical practice evidence. Searching for trials relevant to some query is laborious due to t...

    Authors: Ioannis Korkontzelos, Tingting Mu and Sophia Ananiadou
    Citation: BMC Medical Informatics and Decision Making 2012 12(Suppl 1):S3

    This article is part of a Supplement: Volume 12 Supplement 1

  42. 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 developme...

    Authors: Muhammad Amith, Hsing-Yi Song, Yaoyun Zhang, Hua Xu and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):73

    This article is part of a Supplement: Volume 17 Supplement 2

  43. Given the increasing number of people suffering from tinnitus, the accurate categorization of patients with actionable reports is attractive in assisting clinical decision making. However, this process requires e...

    Authors: Jia Li, Yucong Lin, Pengfei Zhao, Wenjuan Liu, Linkun Cai, Jing Sun, Lei Zhao, Zhenghan Yang, Hong Song, Han Lv and Zhenchang Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:200
  44. Meta-analyses aggregate results of different clinical studies to assess the effectiveness of a treatment. Despite their importance, meta-analyses are time-consuming and labor-intensive as they involve reading ...

    Authors: Faith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya and Eiji Aramaki
    Citation: BMC Medical Informatics and Decision Making 2022 22:158
  45. Medical imaging reports play an important role in communication of diagnostic information between radiologists and clinicians. Head magnetic resonance imaging (MRI) reports can provide evidence that is widely ...

    Authors: Xiaowei Xu, Lu Qin, Lingling Ding, Chunjuan Wang, Meng Wang, Zixiao Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:275
  46. We present a system to automatically map an interface terminology ICPC-2 PLUS to SNOMED CT. Three steps of mapping are proposed in this system. The UMLS metathesaurus mapping utilises explicit relationships betwe...

    Authors: Yefeng Wang, Jon Patrick, Graeme Miller and Julie O'Hallaran
    Citation: BMC Medical Informatics and Decision Making 2008 8(Suppl 1):S5

    This article is part of a Supplement: Volume 8 Supplement 1

  47. Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In...

    Authors: Tianrun Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai and Katherine P. Liao
    Citation: BMC Medical Informatics and Decision Making 2019 19:226

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