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

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  1. 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

  2. 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:

  3. In recent years, relation extraction on unstructured texts has become an important task in medical research. However, relation extraction requires a large amount of labeled corpus, manually annotating sequence...

    Authors: Qi Ye, Tingting Cai, Xiang Ji, Tong Ruan and Hong Zheng
    Citation: BMC Medical Informatics and Decision Making 2023 23:34
    Content type: Research Published on:

  4. Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic heal...

    Authors: Shaker El-Sappagh, Francesco Franda, Farman Ali and Kyung-Sup Kwak
    Citation: BMC Medical Informatics and Decision Making 2018 18:76
    Content type: Research article Published on:

  5. Emotions after surviving cancer can be complicated. The survivors may have gained new strength to continue life, but some of them may begin to deal with complicated feelings and emotional stress due to trauma ...

    Authors: Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He and Xia Hu
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 4):254
    Content type: Research Published on:

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

  6. With the development of current medical technology, information management becomes perfect in the medical field. Medical big data analysis is based on a large amount of medical and health data stored in the el...

    Authors: Yuchen Zheng, Zhenggong Han, Yimin Cai, Xubo Duan, Jiangling Sun, Wei Yang and Haisong Huang
    Citation: BMC Medical Informatics and Decision Making 2022 22:303
    Content type: Research Published on:

  7. 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:

  8. Laboratory indicator test results in electronic health records have been applied to many clinical big data analysis. However, it is quite common that the same laboratory examination item (i.e., lab indicator) ...

    Authors: Ming Liang, ZhiXing Zhang, JiaYing Zhang, Tong Ruan, Qi Ye and Ping He
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):331
    Content type: Research Published on:

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

  9. The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese a...

    Authors: Xiaoling Cai, Shoubin Dong and Jinlong Hu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):65
    Content type: Research Published on:

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

  10. Patient-based analysis of social media is a growing research field with the aim of delivering precision medicine but it requires accurate classification of posts relating to patients’ experiences. We motivate ...

    Authors: Beatrice Alex, Donald Whyte, Daniel Duma, Roma English Owen and Elizabeth A. L. Fairley
    Citation: BMC Medical Informatics and Decision Making 2021 21:244
    Content type: Research Published on:

  12. The broad adoption of electronic health records (EHRs) provides great opportunities to conduct health care research and solve various clinical problems in medicine. With recent advances and success, methods ba...

    Authors: Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan and Ping Zhang
    Citation: BMC Medical Informatics and Decision Making 2020 20:280
    Content type: Research article Published on:

  13. MEDLINE is the most widely used medical bibliographic database in the world. Most of its citations are in English and this can be an obstacle for some researchers to access the information the database contain...

    Authors: Matthieu Schuers, Mher Joulakian, Gaetan Kerdelhué, Léa Segas, Julien Grosjean, Stéfan J. Darmoni and Nicolas Griffon
    Citation: BMC Medical Informatics and Decision Making 2017 17:94
    Content type: Research article Published on:

  14. Healthcare providers generate a huge amount of biomedical data stored in either legacy system (paper-based) format or electronic medical records (EMR) around the world, which are collectively referred to as bi...

    Authors: Ligang Luo, Liping Li, Jiajia Hu, Xiaozhe Wang, Boulin Hou, Tianze Zhang and Lue Ping Zhao
    Citation: BMC Medical Informatics and Decision Making 2016 16:114
    Content type: Technical advance Published on:

  15. Making evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric est...

    Authors: Lyndal J Trevena, Brian J Zikmund-Fisher, Adrian Edwards, Wolfgang Gaissmaier, Mirta Galesic, Paul KJ Han, John King, Margaret L Lawson, Suzanne K Linder, Isaac Lipkus, Elissa Ozanne, Ellen Peters, Danielle Timmermans and Steven Woloshin
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 2):S7
    Content type: Review Published on:

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

  16. Ensuring data is of appropriate quality is essential for the secondary use of electronic health records (EHRs) in research and clinical decision support. An effective method of data quality assessment (DQA) is...

    Authors: Qi Tian, Zhexi Han, Ping Yu, Jiye An, Xudong Lu and Huilong Duan
    Citation: BMC Medical Informatics and Decision Making 2021 21:113
    Content type: Research article Published on:

  17. In this study, using sampled clinical documents associated with a cohort of patients who received their primary care at Mayo Clinic, we investigated the associations between problem list and practice setting thro...

    Authors: Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad and Hongfang Liu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):69
    Content type: Research Published on:

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

  18. The rapid adoption of electronic health records (EHRs) holds great promise for advancing medicine through practice-based knowledge discovery. However, the validity of EHR-based clinical research is questionabl...

    Authors: Sunyang Fu, Lester Y. Leung, Anne-Olivia Raulli, David F. Kallmes, Kristin A. Kinsman, Kristoff B. Nelson, Michael S. Clark, Patrick H. Luetmer, Paul R. Kingsbury, David M. Kent and Hongfang Liu
    Citation: BMC Medical Informatics and Decision Making 2020 20:60
    Content type: Research article Published on:

  19. Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many resources. Leveraging state-of-the-art natural language processing (NLP) an...

    Authors: Yizhao Ni, Jordan Wright, John Perentesis, Todd Lingren, Louise Deleger, Megan Kaiser, Isaac Kohane and Imre Solti
    Citation: BMC Medical Informatics and Decision Making 2015 15:28
    Content type: Research article Published on:

  20. In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized...

    Authors: Qi Li, Stephen Andrew Spooner, Megan Kaiser, Nataline Lingren, Jessica Robbins, Todd Lingren, Huaxiu Tang, Imre Solti and Yizhao Ni
    Citation: BMC Medical Informatics and Decision Making 2015 15:37
    Content type: Research article Published on:

  21. There have been few studies describing how production EMR systems can be systematically queried to identify clinically-defined populations and limited studies utilising free-text in this process. The aim of th...

    Authors: Charmaine S. Tam, Janice Gullick, Aldo Saavedra, Stephen T. Vernon, Gemma A. Figtree, Clara K. Chow, Michelle Cretikos, Richard W. Morris, Maged William, Jonathan Morris and David Brieger
    Citation: BMC Medical Informatics and Decision Making 2021 21:91
    Content type: Research article Published on:

  22. 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
    Content type: Research Published on:

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

  23. 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
    Content type: Research article Published on:

  24. 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
    Content type: Research Published on:

  25. 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
    Content type: Research Published on:

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

  26. 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
    Content type: Research Published on:

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

  27. 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
    Content type: Review Published on:

  28. 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
    Content type: Research Published on:

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

  29. 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
    Content type: Research Published on:

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

  30. 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
    Content type: Research Published on:

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

  31. 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
    Content type: Research article Published on:

  32. 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
    Content type: Research Published on:

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

  33. 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
    Content type: Research article Published on:

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

  34. 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
    Content type: Research article Published on:

  36. 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
    Content type: Research Published on:

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

  37. 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
    Content type: Research Published on:

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

  38. 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
    Content type: Introduction Published on:

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

  39. 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
    Content type: Research article Published on:

  40. 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
    Content type: Research Published on:

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

  41. 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
    Content type: Research Published on:

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

  42. 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
    Content type: Research article Published on:

  43. 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
    Content type: Research Published on:

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

  44. 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
    Content type: Introduction Published on:

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

  45. 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
    Content type: Research Published on:

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

  46. 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
    Content type: Research Published on:

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

  47. 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
    Content type: Research article Published on:

  48. 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
    Content type: Research Published on:

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

  49. 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
    Content type: Proceedings Published on:

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

  50. 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
    Content type: Research Published on:
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