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

Page 5 of 14

  1. 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

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

  2. 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
  3. 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
  4. 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

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

  5. 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
  6. 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

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

  7. Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders fi...

    Authors: Tudor Groza, Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall and Justin T. Reese
    Citation: BMC Medical Informatics and Decision Making 2024 24:30
  8. 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

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

  9. 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

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

  10. 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
  11. 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

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

  12. 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

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

  13. 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

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

  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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

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

  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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

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

  30. 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

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

  31. 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

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

  32. 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
  33. 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

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

  34. 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
  35. 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
  36. 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

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

  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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

  43. 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
  44. 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
  45. 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
  46. 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

  47. 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
  48. 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

  49. 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

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