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

Page 9 of 14

  1. The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Be...

    Authors: Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow…
    Citation: BMC Medical Informatics and Decision Making 2023 23:8
    Content type: Research Published on:

  2. Autocoding (or automatic concept indexing) occurs when a software program extracts terms contained within text and maps them to a standard list of concepts contained in a nomenclature. The purpose of autocodin...

    Authors: Jules J Berman
    Citation: BMC Medical Informatics and Decision Making 2004 4:16
    Content type: Software Published on:

  3. One third (20% to 30%) of patients suffering from hypertension show increased blood pressure resistant to treatment. This resistance often has multifactorial causes, like therapeutic inertia and inappropriate ...

    Authors: Arthur Mai, Karen Voigt, Jeannine Schübel and Felix Gräßer
    Citation: BMC Medical Informatics and Decision Making 2023 23:89
    Content type: Research Published on:

  4. Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, y...

    Authors: Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira…
    Citation: BMC Medical Informatics and Decision Making 2020 20:14
    Content type: Research article Published on:

  5. This paper presents the rationale for designing and implementing the next-generation of public health information systems using grid computing concepts and tools. Our attempt is to evaluate all grid types incl...

    Authors: Catherine J Staes, Wu Xu, Samuel D LeFevre, Ronald C Price, Scott P Narus, Adi Gundlapalli, Robert Rolfs, Barry Nangle, Matthew Samore and Julio C Facelli
    Citation: BMC Medical Informatics and Decision Making 2009 9:32
    Content type: Debate Published on:

  6. The Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database is a free, public resource for intensive care research. The database was officially released in 2006, and has attracted a grow...

    Authors: Daniel J Scott, Joon Lee, Ikaro Silva, Shinhyuk Park, George B Moody, Leo A Celi and Roger G Mark
    Citation: BMC Medical Informatics and Decision Making 2013 13:9
    Content type: Software Published on:

  7. The machine learning algorithm (MLA) was implemented to establish an optimal model to predict the no reflow (NR) process and in-hospital death that occurred in ST-elevation myocardial infarction (STEMI) patien...

    Authors: Lianxiang Deng, Xianming Zhao, Xiaolin Su, Mei Zhou, Daizheng Huang and Xiaocong Zeng
    Citation: BMC Medical Informatics and Decision Making 2022 22:109
    Content type: Research Published on:

  8. Blood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent years, deep learning techniques have been...

    Authors: Md Fazle Rabby, Yazhou Tu, Md Imran Hossen, Insup Lee, Anthony S. Maida and Xiali Hei
    Citation: BMC Medical Informatics and Decision Making 2021 21:101
    Content type: Research article Published on:

  9. Biological and biomedical ontologies and terminologies are used to organize and store various domain-specific knowledge to provide standardization of terminology usage and to improve interoperability. The grow...

    Authors: Ankur Agrawal and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):301
    Content type: Introduction Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  10. Internet of things is fast becoming the norm in everyday life, and integrating the Internet into medical treatment, which is increasing day by day, is of high utility to both clinical doctors and patients. Whi...

    Authors: Bin Ma, Chunxiao Li, Zhaolong Wu, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Ada Fong, Chandan Basetty, Glen M. Borchert, Ryan Benton, Bin Wu and Jingshan Huang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 7):275
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 7

  11. Approximately 30% of intubated preterm infants with respiratory distress syndrome (RDS) will fail attempted extubation, requiring reintubation and mechanical ventilation. Although ventilator technology and mon...

    Authors: Martina Mueller, Carol L Wagner, David J Annibale, Rebecca G Knapp, Thomas C Hulsey and Jonas S Almeida
    Citation: BMC Medical Informatics and Decision Making 2006 6:11
    Content type: Research article Published on:

  12. In this work, we developed many machine learning classifiers to assist in diagnosing respiratory changes associated with sarcoidosis, based on results from the Forced Oscillation Technique (FOT), a non-invasiv...

    Authors: Allan Danilo de Lima, Agnaldo J. Lopes, Jorge Luis Machado do Amaral and Pedro Lopes de Melo
    Citation: BMC Medical Informatics and Decision Making 2022 22:274
    Content type: Research Published on:

  13. 2019-nCoV has been spreading around the world and becoming a global concern. To prevent further widespread of 2019-nCoV, confirmed and suspected cases of COVID-19 infection are suggested to be kept in quaranti...

    Authors: Huanhuan Wu, Yichen Zhong, Yingjie Tian, Shan Jiang and Lingyun Luo
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):271
    Content type: Methodology Published on:

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

  14. Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level...

    Authors: Xia Yu, Ning Ma, Tao Yang, Yawen Zhang, Qing Miao, Junjun Tao, Hongru Li, Yiming Li and Yehong Yang
    Citation: BMC Medical Informatics and Decision Making 2021 21:22
    Content type: Research article Published on:

  15. Prediction of neonatal deaths in NICUs is important for benchmarking and evaluating healthcare services in NICUs. Application of machine learning techniques can improve physicians’ ability to predict the neona...

    Authors: Abbas Sheikhtaheri, Mohammad Reza Zarkesh, Raheleh Moradi and Farzaneh Kermani
    Citation: BMC Medical Informatics and Decision Making 2021 21:131
    Content type: Research Published on:

  16. Data quality of EHRs was sufficient to be used for the calculation of QIs, although comparability to survey data was problematic. Standardization is needed, not only to be able to compare different data collectio...

    Authors: Marijn Scholte, Simone A. van Dulmen, Catherina W. M. Neeleman-Van der Steen, Philip J. van der Wees, Maria W. G. Nijhuis-van der Sanden and Jozé Braspenning
    Citation: BMC Medical Informatics and Decision Making 2016 16:141
    Content type: Research article Published on:

  18. Electronic health records (EHRs) provide possibilities to improve patient care and facilitate clinical research. However, there are many challenges faced by the applications of EHRs, such as temporality, high ...

    Authors: Tong Ruan, Liqi Lei, Yangming Zhou, Jie Zhai, Le Zhang, Ping He and Ju Gao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 8):259
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 8

  19. Smoking is a risk factor for many chronic diseases. Multiple smoking status ascertainment algorithms have been developed for population-based electronic health databases such as administrative databases and el...

    Authors: Md Ashiqul Haque, Muditha Lakmali Bodawatte Gedara, Nathan Nickel, Maxime Turgeon and Lisa M. Lix
    Citation: BMC Medical Informatics and Decision Making 2024 24:33
    Content type: Research Published on:

  20. Sjögren’s disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through ear...

    Authors: Jason Mao, Grace Gomez Felix Gomez, Mei Wang, Huiping Xu and Thankam P. Thyvalikakath
    Citation: BMC Medical Informatics and Decision Making 2024 24:43
    Content type: Research Published on:

  21. New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, eve...

    Authors: Anna L Buczak, Steven Babin and Linda Moniz
    Citation: BMC Medical Informatics and Decision Making 2010 10:59
    Content type: Research article Published on:

  22. Throughout the medical and paramedical professions, self-report health status questionnaires are used to gather patient-reported outcome measures. The objective of this pilot study was to evaluate in individua...

    Authors: Patrick Boissy, Karen Jacobs and Serge H Roy
    Citation: BMC Medical Informatics and Decision Making 2006 6:42
    Content type: Research article Published on:

  23. The International Classification of Diseases, 10th Revision (ICD-10) has been widely used to describe the diagnosis information of patients. Automatic ICD-10 coding is important because manually assigning code...

    Authors: Lingling Zhou, Cheng Cheng, Dong Ou and Hao Huang
    Citation: BMC Medical Informatics and Decision Making 2020 20:67
    Content type: Research article Published on:

  24. Multiple sclerosis is a chronic disease of uncertain aetiology. Variations in its disease course make it difficult to impossible to accurately determine the prognosis of individual patients. The Sylvia Lawry C...

    Authors: M Daumer, A Neuhaus, C Lederer, M Scholz, JS Wolinsky and M Heiderhoff
    Citation: BMC Medical Informatics and Decision Making 2007 7:11
    Content type: Software Published on:

  25. The healthcare challenge driven by an aging population and rising demand is one of the most pressing issues leading to emergency department (ED) overcrowding. An emerging solution lies in machine learning’s po...

    Authors: Kuang-Ming Kuo, Yih-Lon Lin, Chao Sheng Chang and Tin Ju Kuo
    Citation: BMC Medical Informatics and Decision Making 2024 24:105
    Content type: Research Published on:

  26. Medical and clinical question answering (QA) is highly concerned by researchers recently. Though there are remarkable advances in this field, the development in Chinese medical domain is relatively backward. I...

    Authors: Junqing He, Mingming Fu and Manshu Tu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):52
    Content type: Research Published on:

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

  27. The World Health Organization’s (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified thr...

    Authors: Alan J. Forster, Christopher G. Chute, Harold Alan Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2023 21(Suppl 6):383
    Content type: Commentary Published on:

    This article is part of a Supplement: Volume 21 Supplement 6

  28. Korian is a private group specializing in medical accommodations for elderly and dependent people. A professional data warehouse (DWH) established in 2010 hosts all of the residents’ data. Inside this informat...

    Authors: T. Delespierre, P. Denormandie, A. Bar-Hen and L. Josseran
    Citation: BMC Medical Informatics and Decision Making 2017 17:127
    Content type: Research article Published on:

  29. Gastrointestinal (GI) cancer including colorectal cancer, gastric cancer, pancreatic cancer, etc., are among the most frequent malignancies diagnosed annually and represent a major public health problem worldw...

    Authors: Charles C. N. Wang, Jennifer Jin, Jan-Gowth Chang, Masahiro Hayakawa, Atsushi Kitazawa, Jeffrey J. P. Tsai and Phillip C.-Y. Sheu
    Citation: BMC Medical Informatics and Decision Making 2020 20:208
    Content type: Research article Published on:

  30. High dimensionality in electronic health records (EHR) causes a significant computational problem for any systematic search for predictive, diagnostic, or prognostic patterns. Feature selection (FS) methods ha...

    Authors: Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen and Anette Søgaard Nielsen
    Citation: BMC Medical Informatics and Decision Making 2022 22:304
    Content type: Research Published on:

  31. Developing Information and Communication Technology (ICT) supported health communication in PHC could contribute to increased health literacy and empowerment, which are foundations for enabling people to incre...

    Authors: Amina Jama Mahmud, Ewy Olander, Sara Eriksén and Bo JA Haglund
    Citation: BMC Medical Informatics and Decision Making 2013 13:17
    Content type: Research article Published on:

  32. Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accur...

    Authors: Kai Xu, Zhanfan Zhou, Tao Gong, Tianyong Hao and Wenyin Liu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):114
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  33. There exist many academic search solutions and most of them can be put on either ends of spectrum: general-purpose search and domain-specific "deep" search systems. The general-purpose search systems, such as ...

    Authors: Jaehoon Choi, Donghyeon Kim, Seongsoon Kim, Sunwon Lee, Kyubum Lee and Jaewoo Kang
    Citation: BMC Medical Informatics and Decision Making 2012 12(Suppl 1):S7
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 12 Supplement 1

  34. Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between ...

    Authors: Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch II, Gayla R. Olbricht, Sima Azizi and Blaine Allen
    Citation: BMC Medical Informatics and Decision Making 2020 20:203
    Content type: Research article Published on:

  35. Notifiable disease surveillance in the United States is predominantly a passive process that is often limited by poor timeliness and low sensitivity. Interoperable tools are needed that interact more seamlessl...

    Authors: Timothy J Doyle, Haobo Ma, Samuel L Groseclose and Richard S Hopkins
    Citation: BMC Medical Informatics and Decision Making 2005 5:27
    Content type: Database Published on:

  36. Home blood pressure measurements have equal or even greater predictive value than clinic blood pressure measurements regarding cardiovascular outcomes. With advances in home blood pressure monitors, we face an...

    Authors: Pete Wegier, Jeffery L. Belden, Shannon M. Canfield, Victoria A. Shaffer, Sonal J. Patil, Michael L. LeFevre, K. D. Valentine, Mihail Popescu, Linsey M. Steege, Akshay Jain and Richelle J. Koopman
    Citation: BMC Medical Informatics and Decision Making 2021 21:235
    Content type: Research article Published on:

  37. Drug development is an expensive and time-consuming process. Literature-based discovery has played a critical role in drug development and may be a supplementary method to help scientists speed up the discover...

    Authors: Di Zhao, Jian Wang, Shengtian Sang, Hongfei Lin, Jiabin Wen and Chunmei Yang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):59
    Content type: Research Published on:

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

  38. As a kind of widely distributed disease in China, acquired immune deficiency syndrome (AIDS) has been quickly growing each year, become a serious problem and caused serious damage to the life and health of peo...

    Authors: Zeming Li and Yanning Li
    Citation: BMC Medical Informatics and Decision Making 2020 20:143
    Content type: Research article Published on:

  39. A semi-supervised model is proposed for extracting clinical terms of Traditional Chinese Medicine using feature words.

    Authors: Liangliang Liu, Xiaojing Wu, Hui Liu, Xinyu Cao, Haitao Wang, Hongwei Zhou and Qi Xie
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):118
    Content type: Research Published on:

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

  40. There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesit...

    Authors: Juan Antonio Lossio-Ventura, William Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):55
    Content type: Research Published on:

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

  41. Many healthcare databases have been routinely collected over the past decades, to support clinical practice and administrative services. However, their secondary use for research is often hindered by restricte...

    Authors: João Rafael Almeida, Rosa Gini, Giuseppe Roberto, Peter Rijnbeek and José Luís Oliveira
    Citation: BMC Medical Informatics and Decision Making 2019 19:121
    Content type: Software Published on:

  42. Existing traditional cognitive screening tools for dementia have various limitations, including overreliance on tests assessing verbal memory and, to a lesser extent, on some aspects of executive functioning. ...

    Authors: Joyce Siette, Jonathan Guion, Kiran Ijaz, Paul Strutt, Meredith Porte, Greg Savage and Deborah Richards
    Citation: BMC Medical Informatics and Decision Making 2024 24:79
    Content type: Research Published on:

  43. Dietary supplements (DSs) are widely used. However, consumers know little about the safety and efficacy of DSs. There is a growing interest in accessing health information online; however, health information, ...

    Authors: Xing He, Rui Zhang, Rubina Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan Alpert and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):150
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 4

  44. Since the outbreak of COVID-19 pandemic in Rwanda, a vast amount of SARS-COV-2/COVID-19-related data have been collected including COVID-19 testing and hospital routine care data. Unfortunately, those data are...

    Authors: Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, Regine Mugeni, Muhammed Semakula, Joseph Nzabanita, Ignace Kabano, Annie Uwimana, Jean N. Utumatwishima, Jean Damascene Kabakambira, Annette Uwineza, Lars Halvorsen, Freija Descamps, Jared Houghtaling, Benjamin Burke, Odile Bahati…
    Citation: BMC Medical Informatics and Decision Making 2022 22:214
    Content type: Research Published on:

  45. In the intensive care unit (ICU), delirium is a common, acute, confusional state associated with high risk for short- and long-term morbidity and mortality. Machine learning (ML) has promise to address researc...

    Authors: Caitlin E. Coombes, Kevin R. Coombes and Naleef Fareed
    Citation: BMC Medical Informatics and Decision Making 2021 21:97
    Content type: Research article Published on:

  46. Over the past decade there has been a growing body of literature on how the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) can be implemented and used in different clinical settings. Yet, for...

    Authors: Dennis H Lee, Francis Y Lau and Hue Quan
    Citation: BMC Medical Informatics and Decision Making 2010 10:53
    Content type: Research article Published on:

  47. Tools for shared decision-making (e.g. decision aids) are intended to support health care professionals and patients engaged in clinical encounters involving shared decision-making. However, decision aids are ...

    Authors: Anja Fog Heen, Per Olav Vandvik, Linn Brandt, Frankie Achille, Gordon Henry Guyatt, Elie A. Akl, Shaun Treewek and Thomas Agoritsas
    Citation: BMC Medical Informatics and Decision Making 2021 21:202
    Content type: Research article Published on:

  48. The International Classification for Primary Care (ICPC) standard aims to facilitate simultaneous and longitudinal comparisons of clinical primary care practice within and across country borders; it is also us...

    Authors: Taxiarchis Botsis, Carl-Fredrik Bassøe and Gunnar Hartvigsen
    Citation: BMC Medical Informatics and Decision Making 2010 10:11
    Content type: Research article Published on:

  49. Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making in ...

    Authors: Rosy Tsopra, Xose Fernandez, Claudio Luchinat, Lilia Alberghina, Hans Lehrach, Marco Vanoni, Felix Dreher, O.Ugur Sezerman, Marc Cuggia, Marie de Tayrac, Edvins Miklasevics, Lucian Mihai Itu, Marius Geanta, Lesley Ogilvie, Florence Godey, Cristian Nicolae Boldisor…
    Citation: BMC Medical Informatics and Decision Making 2021 21:274
    Content type: Research article Published on:

  50. Coronavirus disease 2019 (COVID-19) has become a pandemic since its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day and early diagnosis has become crucial. Since curren...

    Authors: Mehmet Akif Ozdemir, Gizem Dilara Ozdemir and Onan Guren
    Citation: BMC Medical Informatics and Decision Making 2021 21:170
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

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