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

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  1. The text descriptions in electronic medical records are a rich source of information. We have developed a Health Information Text Extraction (HITEx) tool and used it to extract key findings for a research stud...

    Authors: Qing T Zeng, Sergey Goryachev, Scott Weiss, Margarita Sordo, Shawn N Murphy and Ross Lazarus

    Citation: BMC Medical Informatics and Decision Making 2006 6:30

    Content type: Research article

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  2. The identification of patients who pose an epidemic hazard when they are admitted to a health facility plays a role in preventing the risk of hospital acquired infection. An automated clinical decision support sy...

    Authors: Solweig Gerbier, Olga Yarovaya, Quentin Gicquel, Anne-Laure Millet, Véronique Smaldore, Véronique Pagliaroli, Stefan Darmoni and Marie-Hélène Metzger

    Citation: BMC Medical Informatics and Decision Making 2011 11:50

    Content type: Research article

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  3. A systematic approach to MRI protocol assignment is essential for the efficient delivery of safe patient care. Advances in natural language processing (NLP) allow for the development of...

    Authors: Yeshwant Reddy Chillakuru, Shourya Munjal, Benjamin Laguna, Timothy L. Chen, Gunvant R. Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid and Jae Ho Sohn

    Citation: BMC Medical Informatics and Decision Making 2021 21:213

    Content type: Research

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  4. Natural language processing (NLP) tools can facilitate the extraction...

    Authors: Jacqueline Peng, Mengge Zhao, James Havrilla, Cong Liu, Chunhua Weng, Whitney Guthrie, Robert Schultz, Kai Wang and Yunyun Zhou

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):322

    Content type: Research

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

  5. The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safe...

    Authors: Herman D Tolentino, Michael D Matters, Wikke Walop, Barbara Law, Wesley Tong, Fang Liu, Paul Fontelo, Katrin Kohl and Daniel C Payne

    Citation: BMC Medical Informatics and Decision Making 2007 7:3

    Content type: Research article

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  6. Differentiating between ulcerative colitis (UC), Crohn’s disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases...

    Authors: Yuanren Tong, Keming Lu, Yingyun Yang, Ji Li, Yucong Lin, Dong Wu, Aiming Yang, Yue Li, Sheng Yu and Jiaming Qian

    Citation: BMC Medical Informatics and Decision Making 2020 20:248

    Content type: Research article

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  7. In Chile, a patient needing a specialty consultation or surgery has to first be referred by a general practitioner, then placed on a waiting list. The Explicit Health Guarantees (GES in Spanish) ensures, by la...

    Authors: Fabián Villena, Jorge Pérez, René Lagos and Jocelyn Dunstan

    Citation: BMC Medical Informatics and Decision Making 2021 21:208

    Content type: Research article

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:220

  8. Herein, we describe a system that securely gathers microbiology data from the Department of Veterans Affairs (VA) network of databases. Using natural language processing methods, we applied an information extract...

    Authors: Makoto Jones, Scott L DuVall, Joshua Spuhl, Matthew H Samore, Christopher Nielson and Michael Rubin

    Citation: BMC Medical Informatics and Decision Making 2012 12:34

    Content type: Research article

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  9. For this project, 80 medical problems were selected for their frequency of use in our future clinical field of evaluation (cardiovascular). We have developed an Automated Problem List system composed of two main ...

    Authors: Stephane Meystre and Peter J Haug

    Citation: BMC Medical Informatics and Decision Making 2005 5:30

    Content type: Research article

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  10. Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encounte...

    Authors: Son Doan, Elly W. Yang, Sameer S. Tilak, Peter W. Li, Daniel S. Zisook and Manabu Torii

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):79

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 3

  11. In this study, we developed a rule-based natural language processing (NLP) algorithm for identification of twenty...

    Authors: Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):73

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 3

  12. Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics appr...

    Authors: Liwei Wang, Lei Luo, Yanshan Wang, Jason Wampfler, Ping Yang and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):239

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 5

  13. Accurate information in provider directories are vital in health care including health information exchange, health benefits exchange, quality reporting, and in the reimbursement and delivery of care. Maintaining...

    Authors: Matthew J. Cook, Lixia Yao and Xiaoyan Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):80

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 3

  14. Despite widespread use, the safety of dietary supplements is open to doubt due to the fact that they can interact with prescribed medications, leading to dangerous clinical outcomes. Electronic health records ...

    Authors: Yadan Fan and Rui Zhang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):51

    Content type: Research

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

  15. We examined the comparative performance of structured, diagnostic codes vs. natural language processing (NLP) of unstructured text for screening...

    Authors: Qiu-Yue Zhong, Elizabeth W. Karlson, Bizu Gelaye, Sean Finan, Paul Avillach, Jordan W. Smoller, Tianxi Cai and Michelle A. Williams

    Citation: BMC Medical Informatics and Decision Making 2018 18:30

    Content type: Research article

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  16. This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches.

    Authors: Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke Rasmussen, Guoqian Jiang, Jyotishman Pathak and Yuan Luo

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):78

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 3

  17. Diagnostic accuracy might be improved by algorithms that searched patients’ clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus th...

    Authors: Herbert S. Chase, Lindsey R. Mitrani, Gabriel G. Lu and Dominick J. Fulgieri

    Citation: BMC Medical Informatics and Decision Making 2017 17:24

    Content type: Research article

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  18. The aim of the present study is to investigate the use of semantics for biomedical resources annotation with domain specific ontologies and exploit Natural Language Processing methods in empowering the non-Inform...

    Authors: Pepi Sfakianaki, Lefteris Koumakis, Stelios Sfakianakis, Galatia Iatraki, Giorgos Zacharioudakis, Norbert Graf, Kostas Marias and Manolis Tsiknakis

    Citation: BMC Medical Informatics and Decision Making 2015 15:77

    Content type: Research article

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  19. Natural language processing (NLP) has become an increasingly significant ... of NLP methods and applications for medical information processing are available. It is of great significance...

    Authors: Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu and Tianyong Hao

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):14

    Content type: Research

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    This article is part of a Supplement: Volume 18 Supplement 1

  20. Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably duri...

    Authors: Brian W. Patterson, Gwen C. Jacobsohn, Manish N. Shah, Yiqiang Song, Apoorva Maru, Arjun K. Venkatesh, Monica Zhong, Katherine Taylor, Azita G. Hamedani and Eneida A. Mendonça

    Citation: BMC Medical Informatics and Decision Making 2019 19:138

    Content type: Research article

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  21. Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification...

    Authors: Emily Wheater, Grant Mair, Cathie Sudlow, Beatrice Alex, Claire Grover and William Whiteley

    Citation: BMC Medical Informatics and Decision Making 2019 19:184

    Content type: Research article

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  22. There are often multiple lesions in breast magnetic resonance imaging (MRI) reports and radiologists usually focus on describing the index lesion that is most crucial to clinicians in determining the management a...

    Authors: Yi Liu, Qing Liu, Chao Han, Xiaodong Zhang and Xiaoying Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:288

    Content type: Research article

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  23. The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note a...

    Authors: Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits and Henry C. Chueh

    Citation: BMC Medical Informatics and Decision Making 2017 17:155

    Content type: Research article

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  24. To examine the association between the medical imaging utilization and information related to patients’ socioeconomic, demographic and clinical factors during the patients’ ED visits; and to develop predictive...

    Authors: Xingyu Zhang, M. Fernanda Bellolio, Pau Medrano-Gracia, Konrad Werys, Sheng Yang and Prashant Mahajan

    Citation: BMC Medical Informatics and Decision Making 2019 19:287

    Content type: Research article

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  25. Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques could ...

    Authors: Simone A. Cammel, Marit S. De Vos, Daphne van Soest, Kristina M. Hettne, Fred Boer, Ewout W. Steyerberg and Hileen Boosman

    Citation: BMC Medical Informatics and Decision Making 2020 20:97

    Content type: Research article

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  26. Radiology reports are a rich resource for biomedical research. Prior to utilization, trained experts must manually review reports to identify discrete outcomes. The Audiological and Genetic Database (AudGenDB)...

    Authors: Aaron J. Masino, Robert W. Grundmeier, Jeffrey W. Pennington, John A. Germiller and E. Bryan Crenshaw III

    Citation: BMC Medical Informatics and Decision Making 2016 16:65

    Content type: Research article

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  27. We outline the fundamental differences between Medical Informatics and theoretical sciences and propose that Medical Informatics research should advance individual knowledge processing (case-based reasoning) and ...

    Authors: Stefan V Pantazi, José F Arocha and Jochen R Moehr

    Citation: BMC Medical Informatics and Decision Making 2004 4:19

    Content type: Debate

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  28. Transformer...is an attention-based architecture proven the state-of-the-art model in natural language processing (NLP). To reduce the difficulty of...transformer-based models in medical language understanding an...

    Authors: Feihong Yang, Xuwen Wang, Hetong Ma and Jiao Li

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):90

    Content type: Software

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    This article is part of a Supplement: Volume 21 Supplement 2

  29. 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

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  30. 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:

  31. 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:

  32. 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

  33. 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

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

  34. 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

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  35. 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

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  36. 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

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  37. 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:

  38. 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:

  39. 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

  40. 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

  41. 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

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