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

Page 5 of 15

  1. 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
  2. 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
  3. To address technical needs, key enabling technologies are suitable to convert relevant health data into machine actionable data and to develop algorithms for computerized decision support. To enable data conversi...

    Authors: Mark van Velzen, Helen I. de Graaf-Waar, Tanja Ubert, Robert F. van der Willigen, Lotte Muilwijk, Maarten A. Schmitt, Mark C. Scheper and Nico L. U. van Meeteren
    Citation: BMC Medical Informatics and Decision Making 2023 23:279
  4. Older adults face unique health challenges as they age, including physical and mental health issues and mood disorders. Negative emotions and social isolation significantly impact mental and physical health. T...

    Authors: Francisco M. Garcia-Moreno, Maria Bermudez-Edo, José Manuel Pérez-Mármol, Jose Luis Garrido and María José Rodríguez-Fórtiz
    Citation: BMC Medical Informatics and Decision Making 2024 23(Suppl 3):300

    This article is part of a Supplement: Volume 23 Supplement 3

  5. 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
  6. In recent years, the discovery of clinical pathways (CPs) from electronic medical records (EMRs) data has received increasing attention because it can directly support clinical doctors with explicit treatment ...

    Authors: Wei Li, Xin Min, Panpan Ye, Weidong Xie and Dazhe Zhao
    Citation: BMC Medical Informatics and Decision Making 2024 24:20
  7. 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
  8. 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
  9. Heart failure is a syndrome with complex clinical manifestations. Due to increasing population aging, heart failure has become a major medical problem worldwide. In this study, we used the MIMIC-III public dat...

    Authors: Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian and Chao-Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:17
  10. ...“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
  11. 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

  12. 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

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

  13. 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
  14. 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

  15. 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
  16. 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

  17. 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
  18. 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

  19. 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

  20. 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

  21. 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
  22. Forty-one studies published between 2011 and 2022, which matched inclusion criteria, were chosen as suitable. We included studies aimed at predicting the suicide risk by machine learning algorithms except natural

    Authors: Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, Mohammad Mehdi Ghaemi, Sadrieh Hajesmaeel-Gohari, Rohaneh Rahimisadegh, Kambiz Bahaadinbeigy, Fahimeh Ghasemian and Hassan Shirvani
    Citation: BMC Medical Informatics and Decision Making 2024 24:138
  23. 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
  24. 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

  25. 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
  26. 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

  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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

  33. 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
  34. 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
  35. 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
  36. 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
  37. 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

  38. 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
  39. 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
  40. 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

  41. 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

  42. 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
  43. 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
  44. 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
  45. 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

  46. 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
  47. 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
  48. 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

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