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

Page 6 of 15

  1. The widespread adoption of telehealth services necessitates accurate online department selection based on patient medical records, a task requiring significant medical knowledge. Incorrect triage results in co...

    Authors: Jinming Shi, Ming Ye, Haotian Chen, Yaoen Lu, Zhongke Tan, Zhaohan Fan and Jie Zhao
    Citation: BMC Medical Informatics and Decision Making 2023 23:269
    Content type: Research article Published on:

  2. 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:

  3. 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:

  4. 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

  5. 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:

  6. Child abuse and neglect (CAN) is prevalent, associated with long-term adversities, and often undetected. Primary care settings offer a unique opportunity to identify CAN and facilitate referrals, when warranted. ...

    Authors: Rochelle F. Hanson, Vivienne Zhu, Funlola Are, Hannah Espeleta, Elizabeth Wallis, Paul Heider, Marin Kautz and Leslie Lenert
    Citation: BMC Medical Informatics and Decision Making 2023 23:266
    Content type: Research Published on:

  7. Given the increasing number of dementia patients worldwide, a new method was developed for machine learning models to identify the ‘latent needs’ of patients and caregivers to facilitate patient/public involve...

    Authors: Nanae Tanemura, Tsuyoshi Sasaki, Ryotaro Miyamoto, Jin Watanabe, Michihiro Araki, Junko Sato and Tsuyoshi Chiba
    Citation: BMC Medical Informatics and Decision Making 2023 23:203
    Content type: Research Published on:

  8. 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:

  9. The increasing aging population has led to a shortage of geriatric chronic disease caregiver, resulting in inadequate care for elderly people. In this global context, many older people rely on nonprofessional ...

    Authors: Aihua Li, Che Han, Xinzhu Xing, Qinyan Wei, Yuxue Chi and Fan Pu
    Citation: BMC Medical Informatics and Decision Making 2024 24:73
    Content type: Research Published on:

  10. 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:

  11. 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

  12. 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:

  13. Clinical medicine offers a promising arena for applying Machine Learning (ML) models. However, despite numerous studies employing ML in medical data analysis, only a fraction have impacted clinical care. This ...

    Authors: Christel Sirocchi, Alessandro Bogliolo and Sara Montagna
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 4):186
    Content type: Research Published on:

    This article is part of a Supplement: Volume 24 Supplement 4

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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:

  20. 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:

  21. 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

  23. 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

  24. 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:

  25. 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:

  26. 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

  27. 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

  28. 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

  30. 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:

  31. 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

  32. 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

  33. 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

  34. As global aging intensifies, the prevalence of ocular fundus diseases continues to rise. In China, the tense doctor-patient ratio poses numerous challenges for the early diagnosis and treatment of ocular fundu...

    Authors: Yingxuan Guo, Changke Huang, Yaying Sheng, Wenjie Zhang, Xin Ye, Hengli Lian, Jiahao Xu and Yiqi Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:192
    Content type: Research Published on:

  35. One significant challenge in addressing the coronavirus disease 2019 (COVID-19) pandemic is to grasp a comprehensive picture of its infectious mechanisms. We urgently need a consistent framework to capture the...

    Authors: Yuki Yamagata, Tatsuya Kushida, Shuichi Onami and Hiroshi Masuya
    Citation: BMC Medical Informatics and Decision Making 2024 23(Suppl 4):301
    Content type: RESEARCH Published on:

    This article is part of a Supplement: Volume 23 Supplement 4

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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
    Content type: Research Published on:

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

  41. 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:

  42. 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

  43. 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
    Content type: Research Published on:

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

  44. 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:

  45. 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
    Content type: Research Published on:

  46. 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
    Content type: Software Published on:

  47. 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
    Content type: Software Published on:

  48. 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
    Content type: Research article Published on:

  49. 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
    Content type: Research Published on:

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

  50. 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
    Content type: Research article Published on:
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  • Citation Impact 2023
    Journal Impact Factor: 3.3
    5-year Journal Impact Factor: 3.9
    Source Normalized Impact per Paper (SNIP): 1.304
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    Submission to first editorial decision (median days): 18
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BMC Medical Informatics and Decision Making

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