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

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  1. Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about ...

    Authors: Azita Yazdani, Mohammad Shamloo, Mina Khaki and Azin Nahvijou
    Citation: BMC Medical Informatics and Decision Making 2023 23:275
    Content type: Research Published on:

  3. Computerized ICUs rely on software services to convey the medical condition of their patients as well as assisting the staff in taking treatment decisions. Such services are useful for following clinical guide...

    Authors: Femke Ongenae, Femke De Backere, Kristof Steurbaut, Kirsten Colpaert, Wannes Kerckhove, Johan Decruyenaere and Filip De Turck
    Citation: BMC Medical Informatics and Decision Making 2010 10:3
    Content type: Research article Published on:

  4. Online psychiatric texts are natural language texts expressing depressive problems, published by Internet users via community-based web services such as web forums, message boards and blogs. Understanding the ...

    Authors: Jheng-Long Wu, Liang-Chih Yu and Pei-Chann Chang
    Citation: BMC Medical Informatics and Decision Making 2012 12:72
    Content type: Research article Published on:

  5. Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially cruc...

    Authors: Yong Liu, Shenggen Ju and Junfeng Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:75
    Content type: Research Published on:

  6. We aim to develop and test performance of a semi-automated method (computerized query combined with manual review) for chart abstraction in the identification and characterization of surveillance radiology ima...

    Authors: Catherine Byrd, Ureka Ajawara, Ryan Laundry, John Radin, Prasha Bhandari, Ann Leung, Summer Han, Stephen M. Asch, Steven Zeliadt, Alex H. S. Harris and Leah Backhus
    Citation: BMC Medical Informatics and Decision Making 2022 22:148
    Content type: Research Published on:

  7. CDMO has fine-grained semantic relationships and extensive annotation information, providing a foundation for medical artificial intelligence applications in Chinese contexts, including the construction of medica...

    Authors: Jie Hu, Zixian Huang, Xuewen Ge, Yulin Shen, Yihan Xu, Zirui Zhang, Guangyin Zhou, Junjie Wang, Shan Lu, Yun Yu, Cheng Wan, Xin Zhang, Ruochen Huang, Yun Liu and Gong Cheng
    Citation: BMC Medical Informatics and Decision Making 2024 24:18
    Content type: Research Published on:

  8. 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
    Content type: Research article Published on:

  9. 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
    Content type: Research Published on:

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

  10. 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
    Content type: Research article Published on:

  11. 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
    Content type: Software Published on:

  12. 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
    Content type: Research Published on:

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

  13. 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
    Content type: Technical advance Published on:

  14. 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
    Content type: Research article Published on:

  15. Electronic health records (EHRs) contain valuable information for clinical research; however, the sensitive nature of healthcare data presents security and confidentiality challenges. De-identification is ther...

    Authors: Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia and Guillaume Bouzillé
    Citation: BMC Medical Informatics and Decision Making 2024 24:54
    Content type: Research Published on:

  16. 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
    Content type: Research Published on:

  17. 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
    Content type: Research article Published on:

  19. 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
    Content type: Research article Published on:

  20. 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
    Content type: Introduction Published on:

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

  21. 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
    Content type: Research Published on:

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

  22. Semantic technologies, including natural language processing, ontologies, semantic Web services and Web-...

    Authors: Marie-Jean Meurs, Caitlin Murphy, Ingo Morgenstern, Greg Butler, Justin Powlowski, Adrian Tsang and René Witte
    Citation: BMC Medical Informatics and Decision Making 2012 12(Suppl 1):S5
    Content type: Proceedings Published on:

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

  23. 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
    Content type: Debate Published on:

  24. 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
    Content type: Research article Published on:

  25. 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
    Content type: Article Published on:

  26. 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
    Content type: Technical advance Published on:

  27. Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake ...

    Authors: Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk and Mohammad R. K. Mofrad
    Citation: BMC Medical Informatics and Decision Making 2024 24:40
    Content type: Research Published on:

  28. 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
    Content type: Research Published on:

  29. 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
    Content type: Research Published on:

  30. 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
    Content type: Research Published on:

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

  31. 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
    Content type: Research article Published on:

  32. 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
    Content type: Research article Published on:

  33. 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
    Content type: Research article Published on:

  34. 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
    Content type: Research Published on:

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

  35. 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
    Content type: Research Published on:

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

  36. 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
    Content type: Research article Published on:

  37. 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
    Content type: Research Published on:

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

  38. 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
    Content type: Research Published on:

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

  39. 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
    Content type: Research article Published on:

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

  40. 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
    Content type: Research Published on:

  41. 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
    Content type: Research article Published on:

  42. 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
    Content type: Research Published on:

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

  43. 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
    Content type: Research article Published on:

  44. 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
    Content type: Research Published on:

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

  45. 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
    Content type: Research Article Published on:

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

  46. 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
    Content type: Research article Published on:

  47. 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
    Content type: Research article Published on:

  48. 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
    Content type: Research article Published on:

  49. 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
    Content type: Research article Published on:

  50. 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
    Content type: Review Published on:

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

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BMC Medical Informatics and Decision Making

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