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

Page 4 of 13

  1. Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) ... have not been extensively investigated for clinical text processing. Therefore...

    Authors: Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S1
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 13 Supplement 1

  4. Association rules were created from the data of patients hospitalised between May 2012 and May 2013 in the department of Cardiology at the University Hospital of Strasbourg. Medications were extracted from the me...

    Authors: François Séverac, Erik A Sauleau, Nicolas Meyer, Hassina Lefèvre, Gabriel Nisand and Nicolas Jay
    Citation: BMC Medical Informatics and Decision Making 2015 15:29
    Content type: Research article Published on:

  5. Our tool shows great flexibility in processing different kinds of statistic questions, which provides ... for doctors to get statistical results directly in natural language.

    Authors: Tong Ruan, Yueqi Huang, Xuli Liu, Yuhang Xia and Ju Gao
    Citation: BMC Medical Informatics and Decision Making 2019 19:82
    Content type: Research article Published on:

  6. This research provided a hybrid method of biomedical natural language processing and bioinformatics to investigate the off-target-...

    Authors: Yuyu Zheng, Xiangyu Meng, Pierre Zweigenbaum, Lingling Chen and Jingbo Xia
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):133
    Content type: Research Published on:

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

  7. Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based approa...

    Authors: Naima Oubenali, Sabrina Messaoud, Alexandre Filiot, Antoine Lamer and Paul Andrey
    Citation: BMC Medical Informatics and Decision Making 2022 22:83
    Content type: Research Published on:

  8. Research into current robot middleware has revealed that most of them are either too complicated or outdated. These facts have motivated the development of a new middleware to meet the requirements of usabilit...

    Authors: Robin Glauser, Jürgen Holm, Matthias Bender and Thomas Bürkle
    Citation: BMC Medical Informatics and Decision Making 2023 23:118
    Content type: Software Published on:

  9. In this work, we aimed to demonstrate how to utilize the lab test results and other clinical information to support precision medicine research and clinical decisions on complex diseases, with the support of e...

    Authors: Thanh Nguyen, Tongbin Zhang, Geoffrey Fox, Sisi Zeng, Ni Cao, Chuandi Pan and Jake Y. Chen
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 3):51
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 3

  10. Pituitary adenomas are the most common type of pituitary disorders, which usually occur in young adults and often affect the patient’s physical development, labor capacity and fertility. Clinical free texts no...

    Authors: An Fang, Jiahui Hu, Wanqing Zhao, Ming Feng, Ji Fu, Shanshan Feng, Pei Lou, Huiling Ren and Xianlai Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:72
    Content type: Research Published on:

  11. Currently, one of the commonly used methods for disseminating electronic health record (EHR)-based phenotype algorithms is providing a narrative description of the algorithm logic, often accompanied by flowcha...

    Authors: Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank Mentch…
    Citation: BMC Medical Informatics and Decision Making 2022 22:23
    Content type: Research Published on:

  12. The recent advances in biotechnology and computer science have led to an ever-increasing availability of public biomedical data distributed in large databases worldwide. However, these data collections are far...

    Authors: Francesco Taglino, Fabio Cumbo, Giulia Antognoli, Ivan Arisi, Mara D’Onofrio, Federico Perazzoni, Roger Voyat, Giulia Fiscon, Federica Conte, Marco Canevelli, Giuseppe Bruno, Patrizia Mecocci and Paola Bertolazzi
    Citation: BMC Medical Informatics and Decision Making 2023 23:153
    Content type: Research article Published on:

  13. The accumulation of medical documents in China has rapidly increased in the past years. We focus on developing a method that automatically performs ICD-10 code assignment to Chinese diagnoses from the electron...

    Authors: Wenxin Ning, Ming Yu and Runtong Zhang
    Citation: BMC Medical Informatics and Decision Making 2016 16:30
    Content type: Research article Published on:

  14. In recent years, with the development of artificial intelligence, the use of deep learning technology for clinical information extraction has become a new trend. Clinical Event Detection (CED) as its subtask h...

    Authors: Zhichang Zhang, Dan Liu, Minyu Zhang and Xiaohui Qin
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):261
    Content type: Research Published on:

    This article is part of a Supplement: Volume 21 Supplement 9

  15. Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high...

    Authors: Isabel Segura-Bedmar, Paloma Martínez, Ricardo Revert and Julián Moreno-Schneider
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S6
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 15 Supplement 2

  16. The Cancer Biomedical Informatics Grid (caBIG™) is a network of individuals and institutions, creating a world wide web of cancer research. An important aspect of this informatics effort is the development of ...

    Authors: Jonathan Tobias, Ram Chilukuri, George A Komatsoulis, Sambit Mohanty, Nicholas Sioutos, Denise B Warzel, Lawrence W Wright and Rebecca S Crowley
    Citation: BMC Medical Informatics and Decision Making 2006 6:25
    Content type: Research article Published on:

  17. This paper describes the development of a web-based tool, GenDrux, which extracts and presents (over the Internet) information related to the disease-gene-drug nexus. This information is archived from the rele...

    Authors: Chiquito Crasto, Dajie Luo, Feliciano Yu, Andres Forero and Dongquan Chen
    Citation: BMC Medical Informatics and Decision Making 2011 11:28
    Content type: Software Published on:

  18. The lack of interoperability between health information systems reduces the quality of care provided to patients and wastes resources. Accordingly, there is an urgent need to develop integration mechanisms amo...

    Authors: Amir Torab-Miandoab, Taha Samad-Soltani, Ahmadreza Jodati and Peyman Rezaei-Hachesu
    Citation: BMC Medical Informatics and Decision Making 2023 23:18
    Content type: Research Published on:

  19. It is essential for radiologists to communicate actionable findings to the referring clinicians reliably. Natural language processing (NLP) has been shown to help...

    Authors: Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi and Osamu Abe
    Citation: BMC Medical Informatics and Decision Making 2021 21:262
    Content type: Research Published on:

  20. We proposed a real-world evidence (RWE) study framework that incorporates context-based natural language processing (NLP) methods and data quality examination...BRCA1/2 throughout patients’ treatment process, and...

    Authors: Yiqing Zhao, Saravut J. Weroha, Ellen L. Goode, Hongfang Liu and Chen Wang
    Citation: BMC Medical Informatics and Decision Making 2021 21:3
    Content type: Research article Published on:

  21. Semantic annotators and Natural Language Processing (NLP) methods for Named Entity Recognition and Linking (NER+L)...require plenty of training and test data, especially in the biomedical domain. Despite the abun...

    Authors: Fabio Giachelle, Ornella Irrera and Gianmaria Silvello
    Citation: BMC Medical Informatics and Decision Making 2021 21:352
    Content type: Software Published on:

  22. The process of initiating and completing clinical drug trials in hospital settings is highly complex, with numerous institutional, technical, and record-keeping barriers. In this study, we independently develo...

    Authors: Liang Shen, You Zhai, AXiang Pan, Qingwei Zhao, Min Zhou and Jian Liu
    Citation: BMC Medical Informatics and Decision Making 2023 23:61
    Content type: Software Published on:

  23. Electronic rating scales represent an important resource for standardized data collection. However, the ability to exploit reasoning on rating scale data is still limited. The objective of this work is to faci...

    Authors: Haitham Maarouf, María Taboada, Hadriana Rodriguez, Manuel Arias, Ángel Sesar and María Jesús Sobrido
    Citation: BMC Medical Informatics and Decision Making 2017 17:159
    Content type: Research article Published on:

  24. Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver ca...

    Authors: Chen Chen, Cheng Chen, Mingrui Ma, Xiaojian Ma, Xiaoyi Lv, Xiaogang Dong, Ziwei Yan, Min Zhu and Jiajia Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:176
    Content type: Research Published on:

  26. With the rapid spread of electronic medical records and the arrival of medical big data era, the application of natural language processing technology in biomedicine has become a hot...

    Authors: Bin Ji, Rui Liu, Shasha Li, Jie Yu, Qingbo Wu, Yusong Tan and Jiaju Wu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):64
    Content type: Research Published on:

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

  27. From a sub-population of 17,249 Scottish UK Biobank participants, we ascertained those with an incident stroke code in hospital, death record or primary care administrative data by September 2015, and ≥ 1 clinica...

    Authors: Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen and Cathie Sudlow
    Citation: BMC Medical Informatics and Decision Making 2021 21:191
    Content type: Research Published on:

  28. Unequivocal identification of patients is a precondition for a safe medical journey through different information systems (ISs) and software applications that are communicating and exchanging interoperable dat...

    Authors: Raffaella Vaccaroli, Frédéric Markus, Samuel Danhardt, Heiko Zimmermann, Francois Wisniewski, Pascale Lucas and Hervé Barge
    Citation: BMC Medical Informatics and Decision Making 2020 20:163
    Content type: Research article Published on:

  29. A scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products.

    Authors: Andrea C. Tricco, Wasifa Zarin, Erin Lillie, Serena Jeblee, Rachel Warren, Paul A. Khan, Reid Robson, Ba’ Pham, Graeme Hirst and Sharon E. Straus
    Citation: BMC Medical Informatics and Decision Making 2018 18:38
    Content type: Research article Published on:

  30. Although scientific writing plays a central role in the communication of clinical research findings and consumes a significant amount of time from clinical researchers, few Web applications have been designed ...

    Authors: Ricardo Pietrobon, Karen C Nielsen, Susan M Steele, Andreia P Menezes, Henrique Martins and Danny O Jacobs
    Citation: BMC Medical Informatics and Decision Making 2005 5:15
    Content type: Software Published on:

  31. ...“Traditional RWE” approaches (i.e., capture from structured EHR fields and extraction using structured queries) and “Advanced RWE” approaches (i.e., capture from unstructured EHR data and processing by artific...

    Authors: Daniel Riskin, Roger Cady, Anand Shroff, Nada A. Hindiyeh, Timothy Smith and Steven Kymes
    Citation: BMC Medical Informatics and Decision Making 2023 23:121
    Content type: Research Published on:

  32. In this paper, we propose a novel unsupervised collective inference approach to address the EL problem in a new domain. We show that our unsupervised approach is able to outperform a current state-of-the-art supe...

    Authors: Jin G Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler and Heng Ji
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S4
    Content type: Research article Published on:

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

  33. A subgroup of patients with asthma has been reported to have an increased risk for asthma-associated infectious and inflammatory multimorbidities (AIMs). To systematically investigate the association of asthma...

    Authors: Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu and Young J. Juhn
    Citation: BMC Medical Informatics and Decision Making 2021 21:310
    Content type: Research article Published on:

  34. Physician notes routinely recorded during patient care represent a vast and underutilized resource for human disease studies on a population scale. Their use in research is primarily limited by the need to sep...

    Authors: Andrew J McMurry, Britt Fitch, Guergana Savova, Isaac S Kohane and Ben Y Reis
    Citation: BMC Medical Informatics and Decision Making 2013 13:112
    Content type: Research article Published on:

  35. The 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) provided a multidisciplinary forum for computational scientists and experimental biologists to share recent advances on all as...

    Authors: Li Shen, Xinghua Shi, Zhongming Zhao and Kai Wang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):342
    Content type: Introduction Published on:

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

  36. Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number...

    Authors: Luqi Li, Jie Zhao, Li Hou, Yunkai Zhai, Jinming Shi and Fangfang Cui
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):235
    Content type: Research Published on:

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

  37. Social media plays a more and more important role in the research of health and healthcare due to the fast development of internet communication and information exchange. This paper conducts a bibliometric ana...

    Authors: Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao and Heng Weng
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):50
    Content type: Research Published on:

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

  38. There are significant variabilities in guideline-concordant documentation in asthma care. However, assessing clinician’s documentation is not feasible using only structured data but requires labor-intensive ch...

    Authors: Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young Juhn and Sunghwan Sohn
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):272
    Content type: Research Published on:

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

  39. Age and time information stored within the histories of clinical notes can provide valuable insights for assessing a patient’s disease risk, understanding disease progression, and studying therapeutic outcomes...

    Authors: Judy Hong, Anahita Davoudi, Shun Yu and Danielle L. Mowery
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):338
    Content type: Research Published on:

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

  40. Receiving extraneous articles in response to a query submitted to MEDLINE/PubMed is common. When submitting a multi-word query (which is the majority of queries submitted), the presence of all query words with...

    Authors: Mir S Siadaty, Jianfen Shu and William A Knaus
    Citation: BMC Medical Informatics and Decision Making 2007 7:1
    Content type: Software Published on:

  41. Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. However, existing systems typically require laboriously prepared training cases and lack i...

    Authors: Petra Welter, Thomas M Deserno, Benedikt Fischer, Rolf W Günther and Cord Spreckelsen
    Citation: BMC Medical Informatics and Decision Making 2011 11:68
    Content type: Research article Published on:

  42. Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critical component of natural language processing (NLP) research in any domain including...

    Authors: Min Jiang, Yang Huang, Jung-wei Fan, Buzhou Tang, Josh Denny and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S2
    Content type: Research article Published on:

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

  43. Family history information (FHI) described in unstructured electronic health records (EHRs) is a valuable information source for patient care and scientific researches. Since FHI is usually described in the fo...

    Authors: Hong-Jie Dai
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 10):257
    Content type: Research Published on:

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

  44. The utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. With the expansion of dermoscopy, its vocabulary has proli...

    Authors: Xinyuan Zhang, Rebecca Z. Lin, Muhammad “Tuan” Amith, Cynthia Wang, Jeremy Light, John Strickley and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):162
    Content type: Research Published on:

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

  45. This paper proposes the use of decision trees as the basis for automatically extracting information from published randomized controlled trial (RCT) reports. An exploratory analysis of RCT abstracts is underta...

    Authors: Grace Y Chung and Enrico Coiera
    Citation: BMC Medical Informatics and Decision Making 2008 8:48
    Content type: Research article Published on:

  46. Drug label, or packaging insert play a significant role in all the operations from production through drug distribution channels to the end consumer. Image of the label also called Display Panel or label could...

    Authors: Xiangwen Liu, Joe Meehan, Weida Tong, Leihong Wu, Xiaowei Xu and Joshua Xu
    Citation: BMC Medical Informatics and Decision Making 2020 20:68
    Content type: Research article Published on:

  47. Text-based patient medical records are a vital resource in medical research. In order to preserve patient confidentiality, however, the U.S. Health Insurance Portability and Accountability Act (HIPAA) requires...

    Authors: Ishna Neamatullah, Margaret M Douglass, Li-wei H Lehman, Andrew Reisner, Mauricio Villarroel, William J Long, Peter Szolovits, George B Moody, Roger G Mark and Gari D Clifford
    Citation: BMC Medical Informatics and Decision Making 2008 8:32
    Content type: Research article Published on:

  48. Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial role in healthcare management for patients with chronic diseases, especially hypertension and vascular disease. However, cur...

    Authors: Yan Chu, Kaichen Tang, Yu-Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang and Shayan Shams
    Citation: BMC Medical Informatics and Decision Making 2023 23:131
    Content type: Research Published on:

  49. Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in ... Existing methods do not fully utilize the Chines...

    Authors: Hui Peng, Zhichang Zhang, Dan Liu and Xiaohui Qin
    Citation: BMC Medical Informatics and Decision Making 2023 23:136
    Content type: Research Published on:

  50. Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous negative impact on human survival. However, it is a challenging task to recognize tens of thousands of histopathologi...

    Authors: Xiaogang Dong, Min Li, Panyun Zhou, Xin Deng, Siyu Li, Xingyue Zhao, Yi Wu, Jiwei Qin and Wenjia Guo
    Citation: BMC Medical Informatics and Decision Making 2022 22:122
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

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