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

Page 2 of 7

  1. PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language processing applications that summarize PubMed citations hold ...

    Authors: T Elizabeth Workman, Marcelo Fiszman and John F Hurdle

    Citation: BMC Medical Informatics and Decision Making 2012 12:41

    Content type: Research article

    Published on:

  2. Computerized decision support systems (DSS) have mainly focused on improving clinicians' diagnostic accuracy in unusual and challenging cases. However, since diagnostic omission errors may predominantly result...

    Authors: Padmanabhan Ramnarayan, Graham C Roberts, Michael Coren, Vasantha Nanduri, Amanda Tomlinson, Paul M Taylor, Jeremy C Wyatt and Joseph F Britto

    Citation: BMC Medical Informatics and Decision Making 2006 6:22

    Content type: Research article

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  3. Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of health c...

    Authors: Merijn Beeksma, Suzan Verberne, Antal van den Bosch, Enny Das, Iris Hendrickx and Stef Groenewoud

    Citation: BMC Medical Informatics and Decision Making 2019 19:36

    Content type: Research article

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  4. Identifying patients with certain clinical criteria based on manual chart review of doctors’ notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can ...

    Authors: Clayton A. Turner, Alexander D. Jacobs, Cassios K. Marques, James C. Oates, Diane L. Kamen, Paul E. Anderson and Jihad S. Obeid

    Citation: BMC Medical Informatics and Decision Making 2017 17:126

    Content type: Research Article

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  5. Data mining can be utilized to automate analysis of substantial amounts of data produced in many organizations. However, data mining produces large numbers of rules and patterns, many of which are not useful. ...

    Authors: Mir S Siadaty and William A Knaus

    Citation: BMC Medical Informatics and Decision Making 2006 6:13

    Content type: Research article

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  6. Traditional health information systems are generally devised to support clinical data collection at the point of care. However, as the significance of the modern information economy expands in scope and permea...

    Authors: Richard Jackson, Ismail Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart and Richard Dobson

    Citation: BMC Medical Informatics and Decision Making 2018 18:47

    Content type: Software

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  7. The goal is to construct a formal middle-level ontology that is compatible with both the traditional medical terminology system and modern medical terminology standards. it is intended to satisfy functional requi...

    Authors: Hai Long, Yan Zhu, Lirong Jia, Bo Gao, Jing Liu, Lihong Liu and Heinrich Herre

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):53

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  8. In Western languages the period character is highly ambiguous, due to its double role as sentence delimiter and abbreviation marker. This is particularly relevant in clinical free-texts characterized by numero...

    Authors: Markus Kreuzthaler and Stefan Schulz

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S4

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 15 Supplement 2

  9. Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal in...

    Authors: Tianyong Hao, Xiaoyi Pan, Zhiying Gu, Yingying Qu and Heng Weng

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):22

    Content type: Research

    Published on:

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

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:25

  10. Cincinnati Children’s Hospital Medical Center (CCHMC) has built the initial Natural Language Processing (NLP) component to extract medications with...

    Authors: Qi Li, Louise Deleger, Todd Lingren, Haijun Zhai, Megan Kaiser, Laura Stoutenborough, Anil G Jegga, Kevin Bretonnel Cohen and Imre Solti

    Citation: BMC Medical Informatics and Decision Making 2013 13:53

    Content type: Research article

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  11. Traditional information retrieval techniques typically return excessive output when directed at large bibliographic databases. Natural Language Processing applications strive to extract salient content from ... ,...

    Authors: T Elizabeth Workman and John F Hurdle

    Citation: BMC Medical Informatics and Decision Making 2011 11:6

    Content type: Research article

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  12. The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitativ...

    Authors: Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao and Ruoyao Ding

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):117

    Content type: Research

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    This article is part of a Supplement: Volume 18 Supplement 5

  13. The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing works...

    Authors: Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu and Jake Luo

    Citation: BMC Medical Informatics and Decision Making 2018 18:61

    Content type: Research article

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  14. Although biomedical information is growing rapidly, it is difficult to find and retrieve validated data especially for rare hereditary diseases. There is an increased need for services capable of integrating a...

    Authors: Jouni Väliaho, Pentti Riikonen and Mauno Vihinen

    Citation: BMC Medical Informatics and Decision Making 2005 5:21

    Content type: Research article

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  15. To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care.

    Authors: Maree Johnson, Samuel Lapkin, Vanessa Long, Paula Sanchez, Hanna Suominen, Jim Basilakis and Linda Dawson

    Citation: BMC Medical Informatics and Decision Making 2014 14:94

    Content type: Research article

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  16. Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency...

    Authors: Heekyong Park and Jinwook Choi

    Citation: BMC Medical Informatics and Decision Making 2014 14:90

    Content type: Research article

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  17. Numbering within clinical notes can be variable, and not taking these variations into account could result in missing or inaccurate information for natural language processing and information retrieval tasks.

    Authors: David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis and Chunhua Weng

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):75

    Content type: Research

    Published on:

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

  18. Patients' health related information is stored in electronic health records (EHRs) by health service providers. These records include sequential documentation of care episodes in the form of clinical notes. EHRs ...

    Authors: Hans Moen, Filip Ginter, Erwin Marsi, Laura-Maria Peltonen, Tapio Salakoski and Sanna Salanterä

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S2

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 15 Supplement 2

  19. Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new require...

    Authors: David Perez-Rey, Ana Jimenez-Castellanos, Miguel Garcia-Remesal, Jose Crespo and Victor Maojo

    Citation: BMC Medical Informatics and Decision Making 2012 12:29

    Content type: Software

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  20. Publication databases in biomedicine (e.g., PubMed, MEDLINE) are growing rapidly in size every year, as are public databases of experimental biological data and annotations derived from the data. Publications oft...

    Authors: Paul Breimyer, Nathan Green, Vinay Kumar and Nagiza F Samatova

    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S5

    Content type: Research

    Published on:

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

  21. Automatic word alignment of parallel texts with the same content in different languages is among other things used to generate dictionaries for new translations. The quality of the generated word alignment dep...

    Authors: Mikael Nyström, Magnus Merkel, Håkan Petersson and Hans Åhlfeldt

    Citation: BMC Medical Informatics and Decision Making 2007 7:37

    Content type: Research article

    Published on:

  22. AGUIA is a front-end web application originally developed to manage clinical, demographic and biomolecular patient data collected during clinical trials at MD Anderson Cancer Center. The diversity of methods i...

    Authors: Miria C Correa, Helena F Deus, Ana T Vasconcelos, Yuki Hayashi, Jaffer A Ajani, Srikrishna V Patnana and Jonas S Almeida

    Citation: BMC Medical Informatics and Decision Making 2010 10:65

    Content type: Technical advance

    Published on:

  23. The objective of this study was to ascertain the performance of syndromic algorithms for the early detection of patients in healthcare facilities who have potentially transmissible infectious diseases, using c...

    Authors: Solweig Gerbier-Colomban, Quentin Gicquel, Anne-Laure Millet, Christophe Riou, Jacqueline Grando, Stefan Darmoni, Véronique Potinet-Pagliaroli and Marie-Hélène Metzger

    Citation: BMC Medical Informatics and Decision Making 2013 13:101

    Content type: Research article

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  24. Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) ... have not been extensively investigated for clinical text processing. Therefore...

    Authors: Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S1

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 13 Supplement 1

  25. Association rules were created from the data of patients hospitalised between May 2012 and May 2013 in the department of Cardiology at the University Hospital of Strasbourg. Medications were extracted from the me...

    Authors: François Séverac, Erik A Sauleau, Nicolas Meyer, Hassina Lefèvre, Gabriel Nisand and Nicolas Jay

    Citation: BMC Medical Informatics and Decision Making 2015 15:29

    Content type: Research article

    Published on:

  26. Our tool shows great flexibility in processing different kinds of statistic questions, which provides ... for doctors to get statistical results directly in natural language.

    Authors: Tong Ruan, Yueqi Huang, Xuli Liu, Yuhang Xia and Ju Gao

    Citation: BMC Medical Informatics and Decision Making 2019 19:82

    Content type: Research article

    Published on:

  27. Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high...

    Authors: Isabel Segura-Bedmar, Paloma Martínez, Ricardo Revert and Julián Moreno-Schneider

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S6

    Content type: Proceedings

    Published on:

    This article is part of a Supplement: Volume 15 Supplement 2

  28. In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) held on December 8–10, 2016 in Houston, Texas, USA, and then briefly introduce the ten rese...

    Authors: Cui Tao, Yang Gong, Hua Xu and Zhongming Zhao

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):77

    Content type: Introduction

    Published on:

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

  29. The accumulation of medical documents in China has rapidly increased in the past years. We focus on developing a method that automatically performs ICD-10 code assignment to Chinese diagnoses from the electron...

    Authors: Wenxin Ning, Ming Yu and Runtong Zhang

    Citation: BMC Medical Informatics and Decision Making 2016 16:30

    Content type: Research article

    Published on:

  30. The Cancer Biomedical Informatics Grid (caBIG™) is a network of individuals and institutions, creating a world wide web of cancer research. An important aspect of this informatics effort is the development of ...

    Authors: Jonathan Tobias, Ram Chilukuri, George A Komatsoulis, Sambit Mohanty, Nicholas Sioutos, Denise B Warzel, Lawrence W Wright and Rebecca S Crowley

    Citation: BMC Medical Informatics and Decision Making 2006 6:25

    Content type: Research article

    Published on:

  31. This paper describes the development of a web-based tool, GenDrux, which extracts and presents (over the Internet) information related to the disease-gene-drug nexus. This information is archived from the rele...

    Authors: Chiquito Crasto, Dajie Luo, Feliciano Yu, Andres Forero and Dongquan Chen

    Citation: BMC Medical Informatics and Decision Making 2011 11:28

    Content type: Software

    Published on:

  32. Electronic rating scales represent an important resource for standardized data collection. However, the ability to exploit reasoning on rating scale data is still limited. The objective of this work is to faci...

    Authors: Haitham Maarouf, María Taboada, Hadriana Rodriguez, Manuel Arias, Ángel Sesar and María Jesús Sobrido

    Citation: BMC Medical Informatics and Decision Making 2017 17:159

    Content type: Research article

    Published on:

  33. With the rapid spread of electronic medical records and the arrival of medical big data era, the application of natural language processing technology in biomedicine has become a hot...

    Authors: Bin Ji, Rui Liu, Shasha Li, Jie Yu, Qingbo Wu, Yusong Tan and Jiaju Wu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):64

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  34. A scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products.

    Authors: Andrea C. Tricco, Wasifa Zarin, Erin Lillie, Serena Jeblee, Rachel Warren, Paul A. Khan, Reid Robson, Ba’ Pham, Graeme Hirst and Sharon E. Straus

    Citation: BMC Medical Informatics and Decision Making 2018 18:38

    Content type: Research article

    Published on:

  35. Although scientific writing plays a central role in the communication of clinical research findings and consumes a significant amount of time from clinical researchers, few Web applications have been designed ...

    Authors: Ricardo Pietrobon, Karen C Nielsen, Susan M Steele, Andreia P Menezes, Henrique Martins and Danny O Jacobs

    Citation: BMC Medical Informatics and Decision Making 2005 5:15

    Content type: Software

    Published on:

  36. Physician notes routinely recorded during patient care represent a vast and underutilized resource for human disease studies on a population scale. Their use in research is primarily limited by the need to sep...

    Authors: Andrew J McMurry, Britt Fitch, Guergana Savova, Isaac S Kohane and Ben Y Reis

    Citation: BMC Medical Informatics and Decision Making 2013 13:112

    Content type: Research article

    Published on:

  37. In this paper, we propose a novel unsupervised collective inference approach to address the EL problem in a new domain. We show that our unsupervised approach is able to outperform a current state-of-the-art supe...

    Authors: Jin G Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler and Heng Ji

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S4

    Content type: Research article

    Published on:

    This article is part of a Supplement: Volume 15 Supplement 1

  38. Social media plays a more and more important role in the research of health and healthcare due to the fast development of internet communication and information exchange. This paper conducts a bibliometric ana...

    Authors: Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao and Heng Weng

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):50

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  39. Receiving extraneous articles in response to a query submitted to MEDLINE/PubMed is common. When submitting a multi-word query (which is the majority of queries submitted), the presence of all query words with...

    Authors: Mir S Siadaty, Jianfen Shu and William A Knaus

    Citation: BMC Medical Informatics and Decision Making 2007 7:1

    Content type: Software

    Published on:

  40. Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. However, existing systems typically require laboriously prepared training cases and lack i...

    Authors: Petra Welter, Thomas M Deserno, Benedikt Fischer, Rolf W Günther and Cord Spreckelsen

    Citation: BMC Medical Informatics and Decision Making 2011 11:68

    Content type: Research article

    Published on:

  41. Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critical component of natural language processing (NLP) research in any domain including...

    Authors: Min Jiang, Yang Huang, Jung-wei Fan, Buzhou Tang, Josh Denny and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S2

    Content type: Research article

    Published on:

    This article is part of a Supplement: Volume 15 Supplement 1

  42. This paper proposes the use of decision trees as the basis for automatically extracting information from published randomized controlled trial (RCT) reports. An exploratory analysis of RCT abstracts is underta...

    Authors: Grace Y Chung and Enrico Coiera

    Citation: BMC Medical Informatics and Decision Making 2008 8:48

    Content type: Research article

    Published on:

  43. The Archetype formalism and the associated Archetype Definition Language have been proposed as an ISO standard for specifying models of components of electronic healthcare records as a means of achieving inter...

    Authors: Erik Sundvall, Rahil Qamar, Mikael Nyström, Mattias Forss, Håkan Petersson, Daniel Karlsson, Hans Åhlfeldt and Alan Rector

    Citation: BMC Medical Informatics and Decision Making 2008 8(Suppl 1):S7

    Content type: Proceedings

    Published on:

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

  44. Text-based patient medical records are a vital resource in medical research. In order to preserve patient confidentiality, however, the U.S. Health Insurance Portability and Accountability Act (HIPAA) requires...

    Authors: Ishna Neamatullah, Margaret M Douglass, Li-wei H Lehman, Andrew Reisner, Mauricio Villarroel, William J Long, Peter Szolovits, George B Moody, Roger G Mark and Gari D Clifford

    Citation: BMC Medical Informatics and Decision Making 2008 8:32

    Content type: Research article

    Published on:

  45. Extraction of clinical information such as medications or problems from clinical text is an important task of clinical natural language processing (NLP). Rule-based methods are often...

    Authors: Son Doan, Nigel Collier, Hua Xu, Pham Hoang Duy and Tu Minh Phuong

    Citation: BMC Medical Informatics and Decision Making 2012 12:36

    Content type: Research article

    Published on:

  46. Clinical trials are one of the most important sources of evidence for guiding evidence-based practice and the design of new trials. However, most of this information is available only in free text - e.g., in j...

    Authors: Svetlana Kiritchenko, Berry de Bruijn, Simona Carini, Joel Martin and Ida Sim

    Citation: BMC Medical Informatics and Decision Making 2010 10:56

    Content type: Technical advance

    Published on: