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

Page 4 of 8

  1. We accessed HF patients’ data in a local EHR system and identified potential sources of NYHA, including local diagnosis codes, procedures, and clinical notes. We further investigated and compared the performances...

    Authors: Rui Zhang, Sisi Ma, Liesa Shanahan, Jessica Munroe, Sarah Horn and Stuart Speedie

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):48

    Content type: Research

    Published on:

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

  2. Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes i...

    Authors: Ellen L. Palmer, John Higgins, Saeed Hassanpour, James Sargent, Christina M. Robinson, Jennifer A. Doherty and Tracy Onega

    Citation: BMC Medical Informatics and Decision Making 2019 19:143

    Content type: Research article

    Published on:

    The Research article to this article has been published in BMC Medical Informatics and Decision Making 2019 19:141

  3. NIHSS scores available in the Optum© de-identified Integrated Claims-Clinical dataset were extracted from physician notes by applying natural language processing (NLP) methods. The cohort analyzed in...n = 1033, ...

    Authors: Emily Kogan, Kathryn Twyman, Jesse Heap, Dejan Milentijevic, Jennifer H. Lin and Mark Alberts

    Citation: BMC Medical Informatics and Decision Making 2020 20:8

    Content type: Research article

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  4. Electronic health records (EHRs) provide enormous potential for health research but also present data governance challenges. Ensuring de-identification is a pre-requisite for use of EHR data without prior cons...

    Authors: Andrea C Fernandes, Danielle Cloete, Matthew TM Broadbent, Richard D Hayes, Chin-Kuo Chang, Richard G Jackson, Angus Roberts, Jason Tsang, Murat Soncul, Jennifer Liebscher, Robert Stewart and Felicity Callard

    Citation: BMC Medical Informatics and Decision Making 2013 13:71

    Content type: Research article

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  5. Standards for patient decision aids require that information and options be presented in a balanced manner; this requirement is based on the argument that balanced presentation is essential to foster informed ...

    Authors: Purva Abhyankar, Robert J Volk, Jennifer Blumenthal-Barby, Paulina Bravo, Angela Buchholz, Elissa Ozanne, Dale Colins Vidal, Nananda Col and Peep Stalmeier

    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 2):S6

    Content type: Review

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    This article is part of a Supplement: Volume 13 Supplement 2

  6. A large body of work in the clinical guidelines field has identified requirements for guideline systems, but there are formidable challenges in translating such requirements into production-quality systems tha...

    Authors: Hemant Shah, Raymond D Allard, Robert Enberg, Ganesh Krishnan, Patricia Williams and Prakash M Nadkarni

    Citation: BMC Medical Informatics and Decision Making 2012 12:16

    Content type: Correspondence

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  7. Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor ...

    Authors: Jia Su, Bin He, Yi Guan, Jingchi Jiang and Jinfeng Yang

    Citation: BMC Medical Informatics and Decision Making 2017 17:117

    Content type: Research article

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  8. Extracting primary care information in terms of Patient/Problem, Intervention, Comparison and Outcome, known as PICO elements, is difficult as the volume of medical information expands and the health semantics...

    Authors: Samir Chabou and Michal Iglewski

    Citation: BMC Medical Informatics and Decision Making 2018 18:128

    Content type: Research article

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  9. Medical records of 3,106 inpatients including 224 VTE patients were collected and various types of ontologies were integrated to parse unstructured text. A workflow of ontology-based VTE risk prediction model, th...

    Authors: Yuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi and Ting Chen

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):151

    Content type: Research

    Published on:

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

  10. With the rapid growth of medical information and the pervasiveness of the Internet, online search and retrieval systems have become indispensable tools in medicine. The progress of Web technologies can provide...

    Authors: Michael Muin, Paul Fontelo, Fang Liu and Michael Ackerman

    Citation: BMC Medical Informatics and Decision Making 2005 5:37

    Content type: Software

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  11. Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely...

    Authors: Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 1):72

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 1

  12. Social isolation is an important social determinant that impacts health outcomes and mortality among patients. The National Academy of Medicine recently recommended that social isolation be documented in electron...

    Authors: Vivienne J Zhu, Leslie A Lenert, Brian E Bunnell, Jihad S Obeid, Melanie Jefferson and Chanita Hughes Halbert

    Citation: BMC Medical Informatics and Decision Making 2019 19:43

    Content type: Research article

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:89

  13. Standards, methods, and tools supporting the integration of clinical data and genomic information are an area of significant need and rapid growth in biomedical informatics. Integration of cancer clinical data...

    Authors: Harry Hochheiser, Melissa Castine, David Harris, Guergana Savova and Rebecca S. Jacobson

    Citation: BMC Medical Informatics and Decision Making 2016 16:121

    Content type: Research article

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  14. Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules...

    Authors: Liang Yao, Chengsheng Mao and Yuan Luo

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):71

    Content type: Research

    Published on:

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

  15. The ability to detect disease outbreaks in their early stages is a key component of efficient disease control and prevention. With the increased availability of electronic health-care data and spatio-temporal ...

    Authors: Rochelle E Watkins, Serryn Eagleson, Sam Beckett, Graeme Garner, Bert Veenendaal, Graeme Wright and Aileen J Plant

    Citation: BMC Medical Informatics and Decision Making 2007 7:4

    Content type: Software

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  16. The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media pl...

    Authors: Jia Rong, Sandra Michalska, Sudha Subramani, Jiahua Du and Hua Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:208

    Content type: Research Article

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  17. A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal...

    Authors: Chunhua Weng, Carol Friedman, Casey A. Rommel and John F. Hurdle

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):70

    Content type: Research

    Published on:

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

  18. In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind ...

    Authors: Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He and Xingpeng Jiang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 9):251

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 9

  19. Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to ...

    Authors: Jihad S. Obeid, Erin R. Weeda, Andrew J. Matuskowitz, Kevin Gagnon, Tami Crawford, Christine M. Carr and Lewis J. Frey

    Citation: BMC Medical Informatics and Decision Making 2019 19:164

    Content type: Research article

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  20. Using Conditional Random Fields (CRFs), a popular and successful method for natural language processing problems, sentences referring to Intervention, Participants...Intervention, Participant and Outcome Measures

    Authors: Grace Y Chung

    Citation: BMC Medical Informatics and Decision Making 2009 9:10

    Content type: Research article

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  21. Death certificates provide an invaluable source for mortality statistics which can be used for surveillance and early warnings of increases in disease activity and to support the development and monitoring of ...

    Authors: Bevan Koopman, Sarvnaz Karimi, Anthony Nguyen, Rhydwyn McGuire, David Muscatello, Madonna Kemp, Donna Truran, Ming Zhang and Sarah Thackway

    Citation: BMC Medical Informatics and Decision Making 2015 15:53

    Content type: Research Article

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  22. Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes c...

    Authors: Ruth Reátegui and Sylvie Ratté

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 3):74

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 3

  23. In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, there...

    Authors: Zhiwei Chen, Zhe He, Xiuwen Liu and Jiang Bian

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):65

    Content type: Research

    Published on:

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

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:73

  24. Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis ...

    Authors: Suyan Tian, Chi Wang and Howard H. Chang

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):115

    Content type: Research

    Published on:

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

  25. There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate explora...

    Authors: Tian Bai, Ashis Kumar Chanda, Brian L. Egleston and Slobodan Vucetic

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):123

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 4

  26. In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly introdu...

    Authors: Yaoyun Zhang, Cui Tao, Yang Gong, Kai Wang and Zhongming Zhao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):21

    Content type: Introduction

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  27. Although MIMIC-II, a public intensive care database, has been recognized as an invaluable resource for many medical researchers worldwide, becoming a proficient MIMIC-II researcher requires knowledge of SQL pr...

    Authors: Joon Lee, Evan Ribey and James R. Wallace

    Citation: BMC Medical Informatics and Decision Making 2016 16:15

    Content type: Software

    Published on:

  28. Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and cli...

    Authors: Rui Zhang, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Janet T. Lee, Yan Wang and Genevieve B. Melton

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):68

    Content type: Research

    Published on:

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

  29. We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.

    Authors: Peter Fritz, Andreas Kleinhans, Florian Kuisle, Patricius Albu, Christine Fritz-Kuisle and Mark Dominik Alscher

    Citation: BMC Medical Informatics and Decision Making 2017 17:103

    Content type: Research article

    Published on:

  30. Eye tracking is commonly used in marketing to understand complex responses to materials, but has not been used to understand how low-literacy adults access health information or its relationship to decision ma...

    Authors: Sarah Bauerle Bass, Thomas F. Gordon, Ryan Gordon and Claudia Parvanta

    Citation: BMC Medical Informatics and Decision Making 2016 16:67

    Content type: Research article

    Published on:

  31. We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the i...

    Authors: Jayden MacRae, Tom Love, Michael G. Baker, Anthony Dowell, Matthew Carnachan, Maria Stubbe and Lynn McBain

    Citation: BMC Medical Informatics and Decision Making 2015 15:78

    Content type: Research article

    Published on:

  32. A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem...

    Authors: Sereh M. J. Simons, Felix H. J. M. Cillessen and Jan A. Hazelzet

    Citation: BMC Medical Informatics and Decision Making 2016 16:102

    Content type: Research article

    Published on:

  33. Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers...

    Authors: Zhiheng Li, Zhihao Yang, Chen Shen, Jun Xu, Yaoyun Zhang and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):22

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  34. With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patient...

    Authors: Rahul Kashyap, Kumar Sarvottam, Gregory A. Wilson, Jacob C. Jentzer, Mohamed O. Seisa and Kianoush B. Kashani

    Citation: BMC Medical Informatics and Decision Making 2020 20:85

    Content type: Research article

    Published on:

  35. Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured d...

    Authors: Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar and Kamal Jethwani

    Citation: BMC Medical Informatics and Decision Making 2018 18:44

    Content type: Research article

    Published on:

  36. Extracting relations between bio-entities from biomedical literature is often a challenging task and also an essential step towards biomedical knowledge expansion. The BioCreative community has organized a sha...

    Authors: Suwen Liu, Yifan Shao, Longhua Qian and Guodong Zhou

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):63

    Content type: Research

    Published on:

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

  37. Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, bu...

    Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce and Majid Afshar

    Citation: BMC Medical Informatics and Decision Making 2020 20:79

    Content type: Research article

    Published on:

  38. Extracting useful information from biomedical literature plays an important role in the development of modern medicine. In natural language processing, there have been rigorous attempts to find...

    Authors: Go Eun Heo, Qing Xie, Min Song and Jeong-Hoon Lee

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):240

    Content type: Research

    Published on:

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

  39. The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it is estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, eve...

    Authors: Carlos Luis Sanchez Bocanegra, Jose Luis Sevillano Ramos, Carlos Rizo, Anton Civit and Luis Fernandez-Luque

    Citation: BMC Medical Informatics and Decision Making 2017 17:63

    Content type: Research article

    Published on:

  40. The provision of additional information is often assumed to improve consumption decisions, allowing consumers to more accurately weigh the costs and benefits of alternatives. However, increasing the complexity...

    Authors: Jean Spinks and Duncan Mortimer

    Citation: BMC Medical Informatics and Decision Making 2016 16:14

    Content type: Research article

    Published on:

  41. Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibility criteria for observational studies or clinical trials, require medical data in a consistent structured, coded format...

    Authors: Jeffrey G. Klann, Lori C. Phillips, Alexander Turchin, Sarah Weiler, Kenneth D. Mandl and Shawn N. Murphy

    Citation: BMC Medical Informatics and Decision Making 2015 15:104

    Content type: Research article

    Published on:

  42. Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few...

    Authors: Yukun Chen, Thomas A. Lask, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):82

    Content type: Research

    Published on:

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

  43. The adoption of the electronic medical record (EMR) is rapidly growing in China. Constantly evolving, Chinese EMRs contain vast amounts of clinical and financial data, providing tremendous potential for resear...

    Authors: Yuan Xu, Ning Li, Mingshan Lu, Robert P. Myers, Elijah Dixon, Robin Walker, Libo Sun, Xiaofei Zhao and Hude Quan

    Citation: BMC Medical Informatics and Decision Making 2016 16:110

    Content type: Research article

    Published on:

  44. The Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database is a free, public resource for intensive care research. The database was officially released in 2006, and has attracted a grow...

    Authors: Daniel J Scott, Joon Lee, Ikaro Silva, Shinhyuk Park, George B Moody, Leo A Celi and Roger G Mark

    Citation: BMC Medical Informatics and Decision Making 2013 13:9

    Content type: Software

    Published on: