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Articles

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

Page 1 of 11

  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
  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
  3. Modernizing medical education by using artificial intelligence and other new technologies to improve the clinical thinking ability of medical students is an important research topic in recent years. Prominent med...

    Authors: Mengying Wang, Zhen Sun, Mo Jia, Yan Wang, Heng Wang, Xingxing Zhu, Lianzhong Chen and Hong Ji
    Citation: BMC Medical Informatics and Decision Making 2022 22:60
  4. 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
  5. 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

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

  6. 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
  7. 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
  8. 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

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

  9. 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
  10. 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
  11. 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

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

  12. 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

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

  13. 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

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

  14. 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

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

  15. 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

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

  16. Patients and their loved ones often report symptoms or complaints of cognitive decline that clinicians note in free clinical text, but no structured screening or diagnostic data are recorded. These symptoms/compl...

    Authors: Robert B. Penfold, David S. Carrell, David J. Cronkite, Chester Pabiniak, Tammy Dodd, Ashley MH Glass, Eric Johnson, Ella Thompson, H. Michael Arrighi and Paul E. Stang
    Citation: BMC Medical Informatics and Decision Making 2022 22:129
  17. 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
  18. 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

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

  19. 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
  20. 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
  21. 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

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

  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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

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

  31. Natural language processing (NLP) tasks in the health domain ... task at hand. Recently, pretrained large-scale language models such as the Bidirectional Encoder Representations...

    Authors: Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei and Yue Wang
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 9):377

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

  32. 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
  33. 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
  34. 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
  35. 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

  36. 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
  37. 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

  38. 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
  39. 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
  40. 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
  41. 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
  42. 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

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