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

Page 7 of 14

  2. The Systematic Nomenclature of Medicine Clinical Terms (SNOMED CT) is being advocated as the foundation for encoding clinical documentation. While the electronic medical record is likely to play a critical rol...

    Authors: Prakash M Nadkarni and Jonathan D Darer
    Citation: BMC Medical Informatics and Decision Making 2010 10:66
    Content type: Research article Published on:

  3. Relation extraction (RE) is a fundamental task of natural language processing, which always draws plenty of attention from...

    Authors: Tao Li, Ying Xiong, Xiaolong Wang, Qingcai Chen and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):368
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 7

  4. Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated...

    Authors: Jeongeun Lee, Hyun-Je Song, Eunsil Yoon, Seong-Bae Park, Sung-Hye Park, Jeong-Wook Seo, Peom Park and Jinwook Choi
    Citation: BMC Medical Informatics and Decision Making 2018 18:29
    Content type: Research article Published on:

  6. Advanced mobile communications and portable computation are now combined in handheld devices called “smartphones”, which are also capable of running third-party software. The number of smartphone users is grow...

    Authors: Abu Saleh Mohammad Mosa, Illhoi Yoo and Lincoln Sheets
    Citation: BMC Medical Informatics and Decision Making 2012 12:67
    Content type: Research article Published on:

  7. Computed tomography (CT) reports record a large volume of valuable information about patients’ conditions and the interpretations of radiology images from radiologists, which can be used for clinical decision-...

    Authors: Huanyao Zhang, Danqing Hu, Huilong Duan, Shaolei Li, Nan Wu and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):214
    Content type: Research Published on:

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

  8. The effective management of epilepsy in women of child-bearing age necessitates a concerted effort from multidisciplinary teams. Nevertheless, there exists an inadequacy in the seamless exchange of knowledge a...

    Authors: Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou and Lei Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:101
    Content type: Research Published on:

  9. With the growing impact of observational research studies, there is also a growing focus on data quality (DQ). As opposed to experimental study designs, observational research studies are performed using data ...

    Authors: Jonathan M. Mang, Susanne A. Seuchter, Christian Gulden, Stefanie Schild, Detlef Kraska, Hans-Ulrich Prokosch and Lorenz A. Kapsner
    Citation: BMC Medical Informatics and Decision Making 2022 22:213
    Content type: Research Published on:

  10. Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entities a...

    Authors: Zengjian Liu, Ming Yang, Xiaolong Wang, Qingcai Chen, Buzhou Tang, Zhe Wang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):67
    Content type: Research Published on:

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

  11. To detect attributes of medical concepts in clinical text, a traditional method often consists of two steps: named entity recognition of attributes and then relation classification between medical concepts and...

    Authors: Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):236
    Content type: Research Published on:

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

  12. The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing th...

    Authors: Daniel B. Hier and Steven U. Brint
    Citation: BMC Medical Informatics and Decision Making 2020 20:47
    Content type: Research article Published on:

  13. Translational research typically requires data abstracted from medical records as well as data collected specifically for research. Unfortunately, many data within electronic health records are represented as ...

    Authors: Monique Hinchcliff, Eric Just, Sofia Podlusky, John Varga, Rowland W Chang and Warren A Kibbe
    Citation: BMC Medical Informatics and Decision Making 2012 12:106
    Content type: Correspondence Published on:

  14. Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Son...

    Authors: Lu Qin, Xiaowei Xu, Lingling Ding, Zixiao Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):126
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 3

  15. 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

  16. 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

  18. Electronic medical records (EMRs) contain a wealth of information related to breast cancer diagnosis and treatment. Extracting relevant features from these medical records and constructing a knowledge graph ca...

    Authors: Xiaolong Li, Shuifa Sun, Tinglong Tang, Ji Lu, Lijuan Zhang, Jie Yin, Qian Geng and Yirong Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:210
    Content type: Research Published on:

  21. 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 Published on:

  22. 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 Published on:

  23. 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 Published on:

  24. 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 Published on:

  25. 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 Published on:

  26. Two years into the COVID-19 pandemic and with more than five million deaths worldwide, the healthcare establishment continues to struggle with every new wave of the pandemic resulting from a new coronavirus va...

    Authors: Vipina K. Keloth, Shuxin Zhou, Luke Lindemann, Ling Zheng, Gai Elhanan, Andrew J. Einstein, James Geller and Yehoshua Perl
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):40
    Content type: Research Published on:

    This article is part of a Supplement: Volume 23 Supplement 1

  27. 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

  29. Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack ...

    Authors: Jianfei Pang, Haifeng Xu, Jun Ren, Jun Yang, Mei Li, Dan Lu and Dongsheng Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21:354
    Content type: Research Published on:

  30. 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 Published on:

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

  31. Semantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they have the capacity to enable and enhance ‘patient-like me’ analyses, autom...

    Authors: Luke T. Slater, Sophie Russell, Silver Makepeace, Alexander Carberry, Andreas Karwath, John A. Williams, Hilary Fanning, Simon Ball, Robert Hoehndorf and Georgios V. Gkoutos
    Citation: BMC Medical Informatics and Decision Making 2022 22:33
    Content type: Research Published on:

  32. Automated ICD coding on medical texts via machine learning has been a hot topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) as the feature extraction method, and do no...

    Authors: Zhao Shuai, Diao Xiaolin, Yuan Jing, Huo Yanni, Cui Meng, Wang Yuxin and Zhao Wei
    Citation: BMC Medical Informatics and Decision Making 2022 22:11
    Content type: Research Published on:

  33. Accumulated electronic data from a wide variety of clinical settings has been processed using a range of informatics methods to determine the sequence of care activities experienced by patients. The “as is” or...

    Authors: Matthew Manktelow, Aleeha Iftikhar, Magda Bucholc, Michael McCann and Maurice O’Kane
    Citation: BMC Medical Informatics and Decision Making 2022 22:43
    Content type: Research article Published on:

  34. 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 Published on:

  35. For surveillance of episodic illness, the emergency department (ED) represents one of the largest interfaces for generalizable data about segments of the US public experiencing a need for unscheduled care. Thi...

    Authors: Jeffrey A. Kline, Brian Reed, Alex Frost, Naomi Alanis, Meylakh Barshay, Andrew Melzer, James W. Galbraith, Alicia Budd, Amber Winn, Eugene Pun and Carlos A. Camargo Jr.
    Citation: BMC Medical Informatics and Decision Making 2023 23:224
    Content type: Database Published on:

  36. Intensive Care Unit (ICU) readmissions represent both a health risk for patients,with increased mortality rates and overall health deterioration, and a financial burden for healthcare facilities. As healthcare...

    Authors: Ricardo M. S. Carvalho, Daniela Oliveira and Catia Pesquita
    Citation: BMC Medical Informatics and Decision Making 2023 23:12
    Content type: Research Published on:

  37. While many studies have tested the impact of a decision aid (DA) compared to not receiving any DA, far fewer have tested how different types of DAs affect key outcomes such as treatment choice, patient–provide...

    Authors: Angela Fagerlin, Margaret Holmes-Rovner, Timothy P. Hofer, David Rovner, Stewart C. Alexander, Sara J. Knight, Bruce S. Ling, James A.Tulsky, John T. Wei, Khaled Hafez, Valerie C. Kahn, Daniel Connochie, Jeffery Gingrich and Peter A. Ubel
    Citation: BMC Medical Informatics and Decision Making 2021 21:154
    Content type: Research article Published on:

  38. Formula is an important means of traditional Chinese medicine (TCM) to treat diseases and has great research significance. There are many formula databases, but accessing rich information efficiently is diffic...

    Authors: Yidi Cui, Bo Gao, Lihong Liu, Jing Liu and Yan Zhu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):56
    Content type: Software Published on:

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

  39. 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 Published on:

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

  40. 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

  41. 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

  43. 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 Published on:

  44. 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 Published on:

  45. Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods i...

    Authors: Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang and Tianyong Hao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):129
    Content type: Research Published on:

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

  46. Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled ...

    Authors: Chunming Yang, Dan Xiao, Yuanyuan Luo, Bo Li, Xujian Zhao and Hui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:169
    Content type: Research Published on:

  47. Usability is a key factor affecting the acceptance of mobile health applications (mHealth apps) for elderly individuals, but traditional usability evaluation methods may not be suitable for use in this populat...

    Authors: Qiuyi Wang, Jing Liu, Lanshu Zhou, Jing Tian, Xuemei Chen, Wei Zhang, He Wang, Wanqiong Zhou and Yitian Gao
    Citation: BMC Medical Informatics and Decision Making 2022 22:317
    Content type: Research Published on:

  48. Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was...

    Authors: Jani Paulin, Akseli Reunamo, Jouni Kurola, Hans Moen, Sanna Salanterä, Heikki Riihimäki, Tero Vesanen, Mari Koivisto and Timo Iirola
    Citation: BMC Medical Informatics and Decision Making 2022 22:166
    Content type: Research article Published on:

  49. 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 Published on:

  50. 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

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BMC Medical Informatics and Decision Making

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