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

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  1. Prescription medication (PM) misuse/abuse has emerged as a national crisis in the United States, and social media has been suggested as a potential resource for performing active monitoring. However, automating a...

    Authors: Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O’Connor, Gonzalez-Hernandez Graciela, Jeanmarie Perrone and Abeed Sarker
    Citation: BMC Medical Informatics and Decision Making 2021 21:27
    Content type: Research article Published on:

  2. Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to th...

    Authors: Laura Kinkead, Ahmed Allam and Michael Krauthammer
    Citation: BMC Medical Informatics and Decision Making 2020 20:104
    Content type: Research Article Published on:

  3. Standardized coding of plays an important role in radiology reports’ secondary use such as data analytics, data-driven decision support, and personalized medicine. RadLex, a standard radiological lexicon, can ...

    Authors: Yani Chen, Shan Nan, Qi Tian, Hailing Cai, Huilong Duan and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):247
    Content type: Research Published on:

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

  4. Doc’EDS is a search tool built on top of the clinical data warehouse developed at Rouen University Hospital. This tool is a multilevel search engine combining structured and unstructured data. It also provides ba...

    Authors: Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni and Julien Grosjean
    Citation: BMC Medical Informatics and Decision Making 2022 22:34
    Content type: Research article Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:107

  5. Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new require...

    Authors: David Perez-Rey, Ana Jimenez-Castellanos, Miguel Garcia-Remesal, Jose Crespo and Victor Maojo
    Citation: BMC Medical Informatics and Decision Making 2012 12:29
    Content type: Software Published on:

  6. The coronavirus disease (COVID-19), a pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has shown its destructiveness with more than one million confirmed cases and dozens of tho...

    Authors: Hetong Ma, Liu Shen, Haixia Sun, Zidu Xu, Li Hou, Sizhu Wu, An Fang, Jiao Li and Qing Qian
    Citation: BMC Medical Informatics and Decision Making 2021 21:231
    Content type: Database Published on:

  7. Publication databases in biomedicine (e.g., PubMed, MEDLINE) are growing rapidly in size every year, as are public databases of experimental biological data and annotations derived from the data. Publications oft...

    Authors: Paul Breimyer, Nathan Green, Vinay Kumar and Nagiza F Samatova
    Citation: BMC Medical Informatics and Decision Making 2009 9(Suppl 1):S5
    Content type: Research Published on:

    This article is part of a Supplement: Volume 9 Supplement 1

  8. Patients' health related information is stored in electronic health records (EHRs) by health service providers. These records include sequential documentation of care episodes in the form of clinical notes. EHRs ...

    Authors: Hans Moen, Filip Ginter, Erwin Marsi, Laura-Maria Peltonen, Tapio Salakoski and Sanna Salanterä
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 2):S2
    Content type: Proceedings Published on:

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

  9. Automatic word alignment of parallel texts with the same content in different languages is among other things used to generate dictionaries for new translations. The quality of the generated word alignment dep...

    Authors: Mikael Nyström, Magnus Merkel, Håkan Petersson and Hans Åhlfeldt
    Citation: BMC Medical Informatics and Decision Making 2007 7:37
    Content type: Research article Published on:

  10. There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (che...

    Authors: Vincent M. D’Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin and Joseph Y. Lo
    Citation: BMC Medical Informatics and Decision Making 2022 22:102
    Content type: Research Published on:

  11. This study aimed to assess the performance of OpenAI’s ChatGPT in generating diagnosis based on chief complaint and cone beam computed tomography (CBCT) radiologic findings.

    Authors: Yanni Hu, Ziyang Hu, Wenjing Liu, Antian Gao, Shanhui Wen, Shu Liu and Zitong Lin
    Citation: BMC Medical Informatics and Decision Making 2024 24:55
    Content type: Research Published on:

  12. AGUIA is a front-end web application originally developed to manage clinical, demographic and biomolecular patient data collected during clinical trials at MD Anderson Cancer Center. The diversity of methods i...

    Authors: Miria C Correa, Helena F Deus, Ana T Vasconcelos, Yuki Hayashi, Jaffer A Ajani, Srikrishna V Patnana and Jonas S Almeida
    Citation: BMC Medical Informatics and Decision Making 2010 10:65
    Content type: Technical advance Published on:

  13. The objective of this study was to ascertain the performance of syndromic algorithms for the early detection of patients in healthcare facilities who have potentially transmissible infectious diseases, using c...

    Authors: Solweig Gerbier-Colomban, Quentin Gicquel, Anne-Laure Millet, Christophe Riou, Jacqueline Grando, Stefan Darmoni, Véronique Potinet-Pagliaroli and Marie-Hélène Metzger
    Citation: BMC Medical Informatics and Decision Making 2013 13:101
    Content type: Research article Published on:

  14. Depression is one of the most significant health conditions in personal, social, and economic impact. The aim of this review is to summarize existing literature in which machine learning methods have been used...

    Authors: David Nickson, Caroline Meyer, Lukasz Walasek and Carla Toro
    Citation: BMC Medical Informatics and Decision Making 2023 23:271
    Content type: Research Published on:

  15. With the aging of the population, the number of total hip replacement surgeries is increasing globally. Hip replacement has undergone revolutionary advancements in surgical methods and materials. Due to the sh...

    Authors: Jing Chen, Fan He, Qian Wu, Li Wang, Xiaoxia Zhu, Yan Qi, JiaLing Wu and Yan Shi
    Citation: BMC Medical Informatics and Decision Making 2023 23:268
    Content type: Article Published on:

  16. Providers document PCC concepts in their clinical notes. In this pilot study we explored the feasibility of using this data as a means to measure the degree to which care in a health center is patient centered. P...

    Authors: Jorie M. Butler, Bryan Gibson, Olga V. Patterson, Laura J. Damschroder, Corrinne H. Halls, Daniel W. Denhalter, Matthew H. Samore, Haojia Li, Yue Zhang and Scott L. DuVall
    Citation: BMC Medical Informatics and Decision Making 2022 22:65
    Content type: Research article Published on:

  17. 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

  18. 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:

  20. 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:

  22. 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

  23. 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:

  24. 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:

  25. 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

  26. 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:

  27. In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) held on December 8–10, 2016 in Houston, Texas, USA, and then briefly introduce the ten rese...

    Authors: Cui Tao, Yang Gong, Hua Xu and Zhongming Zhao
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):77
    Content type: Introduction Published on:

    This article is part of a Supplement: Volume 17 Supplement 2

  28. 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:

  29. Knowledge graphs are well-suited for modeling complex, unstructured, and multi-source data and facilitating their analysis. During the COVID-19 pandemic, adverse event data were integrated into a knowledge gra...

    Authors: Andrew M. Simms, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta and Noel Southall
    Citation: BMC Medical Informatics and Decision Making 2024 24:10
    Content type: Research Published on:

  30. 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:

  31. 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:

  32. 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

  33. 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

  34. 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:

  35. 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:

  36. 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:

  37. 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:

  38. 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:

  39. 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:

  40. 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:

  41. Oxygen saturation, a key indicator of COVID-19 severity, poses challenges, especially in cases of silent hypoxemia. Electronic health records (EHRs) often contain supplemental oxygen information within clinica...

    Authors: Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer and Markus Kreuzthaler
    Citation: BMC Medical Informatics and Decision Making 2024 24:29
    Content type: Research Published on:

  42. 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:

  44. 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

  45. 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:

  46. 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:

  47. 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
    Content type: Review Published on:

  48. 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
    Content type: Research Published on:

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

  49. 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
    Content type: Research Published on:

  50. 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:
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BMC Medical Informatics and Decision Making

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