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

Page 6 of 14

  1. As biomedical knowledge is rapidly evolving, concept enrichment of biomedical terminologies is an active research area involving automatic identification of missing or new concepts. Previously, we prototyped a...

    Authors: Fengbo Zheng, Rashmie Abeysinghe and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):234

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

  2. The necessity to translate eligibility criteria from free text into decision rules that are compatible with data from the electronic health record (EHR) constitutes the main challenge when developing and deplo...

    Authors: Felix Köpcke, Dorota Lubgan, Rainer Fietkau, Axel Scholler, Carla Nau, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch and Dennis Toddenroth
    Citation: BMC Medical Informatics and Decision Making 2013 13:134
  3. In China, patients usually determine their medical specialty before they register the corresponding specialists in the hospitals. This process usually requires a lot of medical knowledge for the patients. As a...

    Authors: Chao Mao, Quanjing Zhu, Rong Chen and Weifeng Su
    Citation: BMC Medical Informatics and Decision Making 2023 23:15
  4. Although clinical guidelines provide the best practice for medical activities, there are some limitations in using clinical guidelines to assistant decision-making in practical application, such as long update...

    Authors: Haifeng Xu, Jianfei Pang, Xi Yang, Mei Li and Dongsheng Zhao
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):120

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

  5. Semantic web technology has been applied widely in the biomedical informatics field. Large numbers of biomedical datasets are available online in the resource description framework (RDF) format. Semantic relat...

    Authors: Li Zhang, Jiamei Hu, Qianzhi Xu, Fang Li, Guozheng Rao and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):283

    This article is part of a Supplement: Volume 20 Supplement 4

  6. Over the last decades, the face of health care has changed dramatically, with big improvements in what is technically feasible. However, there are indicators that the current approach to evaluating evidence in...

    Authors: Wim van Biesen, Catherine Van Der Straeten, Sigrid Sterckx, Johan Steen, Lisa Diependaele and Johan Decruyenaere
    Citation: BMC Medical Informatics and Decision Making 2021 21:87
  7. Image text is an important text data in the medical field at it can assist clinicians in making a diagnosis. However, due to the diversity of languages, most descriptions in the image text are unstructured dat...

    Authors: Xin Huang, Hui Chen and Jing-Dong Yan
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):203

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

  8. The amount of patient-related information within clinical information systems accumulates over time, especially in cases where patients suffer from chronic diseases with many hospitalizations and consultations...

    Authors: Markus Kreuzthaler, Bastian Pfeifer, Jose Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper and Stefan Schulz
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):72

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

  9. Epilepsy is one of the diseases of the nervous system, which has a large population in the world. Traditional diagnosis methods mostly depended on the professional neurologists’ reading of the electroencephalo...

    Authors: Mengnan Ma, Yinlin Cheng, Xiaoyan Wei, Ziyi Chen and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):100

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

  10. The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of a collected set of Twitter data, a model ...

    Authors: Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago and Salimur Choudhury
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):304

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

  11. Pharmacovigilance aims to uncover and understand harmful side-effects of drugs, termed adverse events (AEs). Although the current process of pharmacovigilance is very systematic, the increasing amount of infor...

    Authors: SriJyothsna Yeleswarapu, Aditya Rao, Thomas Joseph, Vangala Govindakrishnan Saipradeep and Rajgopal Srinivasan
    Citation: BMC Medical Informatics and Decision Making 2014 14:13
  12. Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promisi...

    Authors: Lin Chen, Kirsten Vallmuur and Richi Nayak
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S5

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

  13. The Human Cell Atlas resource will deliver single cell transcriptome data spatially organised in terms of gross anatomy, tissue location and with images of cellular histology. This will enable the application ...

    Authors: Albert Burger, Richard A. Baldock, David J. Adams, Shahida Din, Irene Papatheodorou, Michael Glinka, Bill Hill, Derek Houghton, Mehran Sharghi, Michael Wicks and Mark J. Arends
    Citation: BMC Medical Informatics and Decision Making 2023 23:36
  14. It is significant to model clinical activities for process mining, which assists in improving medical service quality. However, current process mining studies in healthcare pay more attention to the control fl...

    Authors: Haifeng Xu, Jianfei Pang, Xi Yang, Jinghui Yu, Xuemeng Li and Dongsheng Zhao
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):303

    This article is part of a Supplement: Volume 20 Supplement 14

  15. Biomedical ontologies are representations of biomedical knowledge that provide terms with precisely defined meanings. They play a vital role in facilitating biomedical research in a cross-disciplinary manner. ...

    Authors: Xubing Hao, Rashmie Abeysinghe, Kirk Roberts and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):87

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

  16. In this introduction, we first summarize the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019) held on October 26, 2019 in conjunction with the 18th International Semant...

    Authors: Zhe He, Cui Tao, Jiang Bian and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):315

    This article is part of a Supplement: Volume 20 Supplement 4

  17. It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons...

    Authors: Rui Zhang, Jialin Liu, Yong Huang, Miye Wang, Qingke Shi, Jun Chen and Zhi Zeng
    Citation: BMC Medical Informatics and Decision Making 2017 17:54
  18. Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional informati...

    Authors: Muhammad Amith, Chidinma Onye, Tracey Ledoux, Grace Xiong and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):275

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

  19. In this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional Chinese medicine (TCM) clinical records. Our aim is to provide a basis for...

    Authors: Tingting Zhang, Yaqiang Wang, Xiaofeng Wang, Yafei Yang and Ying Ye
    Citation: BMC Medical Informatics and Decision Making 2020 20:64
  20. Family history (FH) information, including family members, side of family of family members (i.e., maternal or paternal), living status of family members, observations (diseases) of family members, etc., is very ...

    Authors: Xue Shi, Dehuan Jiang, Yuanhang Huang, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 10):277

    This article is part of a Supplement: Volume 19 Supplement 10

  21. Learning deep representations of clinical events based on their distributions in electronic health records has been shown to allow for subsequent training of higher-performing predictive models compared to the...

    Authors: Aron Henriksson, Jing Zhao, Hercules Dalianis and Henrik Boström
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):69

    This article is part of a Supplement: Volume 16 Supplement 2

  22. In this editorial, we first summarize the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018) held on December 3, 2018 in conjunction with the 2018 IEEE International Conference on Bi...

    Authors: Zhe He, Jiang Bian, Cui Tao and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):148

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

  23. Health question-answering (QA) systems have become a typical application scenario of Artificial Intelligent (AI). An annotated question corpus is prerequisite for training machines to understand health informa...

    Authors: Haihong Guo, Xu Na and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):16

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

  24. Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental tasks of Chinese text processing. They are usually preliminary steps for lots of Chinese natural language processing (NLP) task...

    Authors: Ying Xiong, Zhongmin Wang, Dehuan Jiang, Xiaolong Wang, Qingcai Chen, Hua Xu, Jun Yan and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):66

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

  25. Health professionals and consumers use different terms to express medical events or concerns, which makes the communication barriers between the professionals and consumers. This may lead to bias in the diagno...

    Authors: Li Hou, Hongyu Kang, Yan Liu, Luqi Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):120

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

  26. The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related states developed by the World Health Organization (WHO) to provide a standard and u...

    Authors: Silvia Cozzi, Andrea Martinuzzi and Vincenzo Della Mea
    Citation: BMC Medical Informatics and Decision Making 2021 21:367
  27. Relationships between bio-entities (genes, proteins, diseases, etc.) constitute a significant part of our knowledge. Most of this information is documented as unstructured text in different forms, such as book...

    Authors: Kaixian Yu, Pei-Yau Lung, Tingting Zhao, Peixiang Zhao, Yan-Yuan Tseng and Jinfeng Zhang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):42

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

  28. Over a period of 40 years, SNOMED has developed from a pathology-specific nomenclature (SNOP) into a logic-based health care terminology. In spite of its long existence and continuous evolvement, it is yet unk...

    Authors: Ronald Cornet and Nicolette de Keizer
    Citation: BMC Medical Informatics and Decision Making 2008 8(Suppl 1):S2

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

  29. Diagnoses are crucial assets of clinical work and provide the foundation for treatment and follow up. They should be informative and customized to the patient’s problem. Common prefixes, morphemes, and suffixe...

    Authors: Carl-Fredrik Bassøe
    Citation: BMC Medical Informatics and Decision Making 2023 23:143
  30. Virtual Patients are a well-known and widely used form of interactive software used to simulate aspects of patient care that students are increasingly less likely to encounter during their studies. However, to...

    Authors: Marcus D Bloice, Klaus-Martin Simonic and Andreas Holzinger
    Citation: BMC Medical Informatics and Decision Making 2014 14:66
  31. De-identification is a critical technology to facilitate the use of unstructured clinical text while protecting patient privacy and confidentiality. The clinical natural language processing (NLP) community has in...

    Authors: Xi Yang, Tianchen Lyu, Qian Li, Chih-Yin Lee, Jiang Bian, William R. Hogan and Yonghui Wu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):232

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

  32. Data-driven process analysis is an important area that relies on software support. Process variant analysis is a sort of analysis technique in which analysts compare executed process variants, a.k.a. process c...

    Authors: Amin Jalali, Paul Johannesson, Erik Perjons, Ylva Askfors, Abdolazim Rezaei Kalladj, Tero Shemeikka and Anikó Vég
    Citation: BMC Medical Informatics and Decision Making 2021 21:356
  33. Despite the globally reducing hospitalization rates and the much lower risks of Covid-19 mortality, accurate diagnosis of the infection stage and prediction of outcomes are clinically of interest. Advanced cur...

    Authors: Sara Saberi Moghadam Tehrani, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, Amirali Soheili, Mohammad Gharib and Hamid Abbasi
    Citation: BMC Medical Informatics and Decision Making 2023 23:265
  34. Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed tomography scans, play key roles in healthcare settings. To assess and improve the quality of imaging diagnosis, we need t...

    Authors: Tao Zheng, Yimei Gao, Fei Wang, Chenhao Fan, Xingzhi Fu, Mei Li, Ya Zhang, Shaodian Zhang and Handong Ma
    Citation: BMC Medical Informatics and Decision Making 2019 19:156
  35. In the United States, the National Alzheimer’s Coordinating Center (NACC) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI) are two major data sharing resources for Alzheimer’s Disease (AD) research. ...

    Authors: Xubing Hao, Xiaojin Li, Guo-Qiang Zhang, Cui Tao, Paul E. Schulz and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):151

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

  36. Predictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This study uses actual data from a hospital. A multiple infectious dise...

    Authors: Mengying Wang, Zhenhao Wei, Mo Jia, Lianzhong Chen and Hong Ji
    Citation: BMC Medical Informatics and Decision Making 2022 22:41
  37. Constrained budgets within healthcare systems and the need to efficiently allocate resources often necessitate the valuation of healthcare interventions and services. However, when a technological product is d...

    Authors: Emmanouil Mentzakis, Daria Tkacz and Carol Rivas
    Citation: BMC Medical Informatics and Decision Making 2020 20:95
  38. We extracted genetic testing information and patient medical records from EHR systems at Mayo Clinic. Clinical features have been semi-automatically annotated from the clinical notes by applying a Natural Language

    Authors: Qian Zhu, Hongfang Liu, Christopher G Chute and Matthew Ferber
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S3

    This article is part of a Supplement: Volume 15 Supplement 4

  39. Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, ...

    Authors: Silvana Secinaro, Davide Calandra, Aurelio Secinaro, Vivek Muthurangu and Paolo Biancone
    Citation: BMC Medical Informatics and Decision Making 2021 21:125
  40. Diagnostic error is a significant problem in specialities characterised by diagnostic uncertainty such as primary care, emergency medicine and paediatrics. Despite wide-spread availability, computerised aids h...

    Authors: Padmanabhan Ramnarayan, Andrew Winrow, Michael Coren, Vasanta Nanduri, Roger Buchdahl, Benjamin Jacobs, Helen Fisher, Paul M Taylor, Jeremy C Wyatt and Joseph Britto
    Citation: BMC Medical Informatics and Decision Making 2006 6:37
  41. The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structurin...

    Authors: Nallakkandi Rajeevan, Kristina M. Niehoff, Peter Charpentier, Forrest L. Levin, Amy Justice, Cynthia A. Brandt, Terri R. Fried and Perry L. Miller
    Citation: BMC Medical Informatics and Decision Making 2017 17:111
  42. Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and mod...

    Authors: Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur and Zhiyong Lu
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 1):73

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

  43. A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative cult...

    Authors: Ross J. Burton, Mahableshwar Albur, Matthias Eberl and Simone M. Cuff
    Citation: BMC Medical Informatics and Decision Making 2019 19:171
  44. The use of PubMed to answer daily medical care questions is limited because it is challenging to retrieve a small set of relevant articles and time is restricted. Knowing what aspects of queries are likely to ...

    Authors: Arjen Hoogendam, Anton FH Stalenhoef, Pieter F de Vries Robbé and A John PM Overbeke
    Citation: BMC Medical Informatics and Decision Making 2008 8:42
  45. Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in ce...

    Authors: Julia Amann, Alessandro Blasimme, Effy Vayena, Dietmar Frey and Vince I. Madai
    Citation: BMC Medical Informatics and Decision Making 2020 20:310
  46. Quantitative data reports are widely produced to inform health policy decisions. Policymakers are expected to critically assess provided information in order to incorporate the best available evidence into the...

    Authors: Pamela Wronski, Michel Wensing, Sucheta Ghosh, Lukas Gärttner, Wolfgang Müller and Jan Koetsenruijter
    Citation: BMC Medical Informatics and Decision Making 2021 21:32
  47. Record linkage refers to the process of joining records that relate to the same entity or event in one or more data collections. In the absence of a shared, unique key, record linkage involves the comparison o...

    Authors: Tim Churches, Peter Christen, Kim Lim and Justin Xi Zhu
    Citation: BMC Medical Informatics and Decision Making 2002 2:9
  48. Epidemiological research may require linkage of information from multiple organizations. This can bring two problems: (1) the information governance desirability of linkage without sharing direct identifiers, ...

    Authors: Rudolf N. Cardinal, Anna Moore, Martin Burchell and Jonathan R. Lewis
    Citation: BMC Medical Informatics and Decision Making 2023 23:85

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