Skip to main content

Articles

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

Page 1 of 9

  3. 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

    Published on:

  4. 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

    Published on:

  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

    Content type: Research

    Published on:

    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

    Content type: Research article

    Published on:

  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

    Content type: Research article

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

    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

    Published on:

    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

    Published on:

    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

    Published on:

    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

    Published on:

    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

    Published on:

  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

    Published on:

    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

    Published on:

  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

    Published on:

  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

    Published on:

    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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  30. 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:

  31. 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:

  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. 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:

  34. 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

  35. 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:

  36. 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:

  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. 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

  41. 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:

  42. 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:

  43. 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:

  44. 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

  45. 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:

  46. 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

  47. 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:

  48. 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

  49. 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:

  50. 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:

Submit manuscript

Follow

2019 Journal Metrics

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us