Skip to main content

Articles

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

Page 13 of 15

  1. Despite the fact that telemedicine can eliminate geographical and time limitations and offer the possibility of diagnosing, treating, and preventing diseases by sharing reliable information, many individuals s...

    Authors: Khadijeh Moulaei, Abbas Sheikhtaheri, Farhad Fatehi, Mostafa Shanbehzadeh and Kambiz Bahaadinbeigy
    Citation: BMC Medical Informatics and Decision Making 2023 23:261
    Content type: Research Published on:

  2. The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on the tasks. However, most existing methods suffer fr...

    Authors: Sundreen Asad Kamal, Changchang Yin, Buyue Qian and Ping Zhang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):307
    Content type: Research Published on:

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

  3. Telehealth (TH) was introduced as a promising tool to support integrated care for the management of chronic obstructive pulmonary disease (COPD). It aims at improving self-management and providing remote suppo...

    Authors: Violeta Gaveikaite, Casandra Grundstrom, Stefan Winter, Helen Schonenberg, Minna Isomursu, Ioanna Chouvarda and Nicos Maglaveras
    Citation: BMC Medical Informatics and Decision Making 2020 20:216
    Content type: Research article Published on:

  4. Maintaining medication adherence can be challenging for people living with mental ill-health. Clinical decision support systems (CDSS) based on automated detection of problematic patterns in Electronic Health ...

    Authors: Dan Thorpe, Jörg Strobel and Niranjan Bidargaddi
    Citation: BMC Medical Informatics and Decision Making 2023 23:22
    Content type: Research article Published on:

  5. Knowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy analysis. However, the clinical treatment text from electronic health data ...

    Authors: Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei and Bo Jin
    Citation: BMC Medical Informatics and Decision Making 2020 20:204
    Content type: Technical advance Published on:

  6. Stroke is a disease characterized by sudden cerebral ischemia and is the second leading cause of death worldwide. We aimed to develop and validate a nomogram model to predict mortality in intensive care unit p...

    Authors: Xiao-Dan Li and Min-Min Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:92
    Content type: Research Published on:

  7. Audit Trails (AT) are fundamental to information security in order to guarantee access traceability but can also be used to improve Health information System’s (HIS) quality namely to assess how they are used ...

    Authors: Ricardo Cruz-Correia, Isabel Boldt, Luís Lapão, Cátia Santos-Pereira, Pedro Pereira Rodrigues, Ana Margarida Ferreira and Alberto Freitas
    Citation: BMC Medical Informatics and Decision Making 2013 13:84
    Content type: Research article Published on:

  8. The interpretability of results predicted by the machine learning models is vital, especially in the critical fields like healthcare. With the increasingly adoption of electronic healthcare records (EHR) by th...

    Authors: Peipei Chen, Wei Dong, Jinliang Wang, Xudong Lu, Uzay Kaymak and Zhengxing Huang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):131
    Content type: Research Published on:

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

  9. Due to the increasing complexity in socioeconomic environments and the ambiguity in human cognition, decision makers prefer to give linguistic cognitive information with different granularities according to th...

    Authors: Wei Lu, Xin-pu Wang, Jie Zhao and Yun-kai Zhai
    Citation: BMC Medical Informatics and Decision Making 2020 20:113
    Content type: Research article Published on:

  10. One of the current major factors of not following up on the abnormal test results is the lack of information about the test results and missing interpretations. Clinical decision support systems (CDSS) can bec...

    Authors: Georgy Kopanitsa
    Citation: BMC Medical Informatics and Decision Making 2022 22:79
    Content type: Research article Published on:

  11. The symbiotic interactions that occur between humans and organisms in our environment have a tremendous impact on our health. Recently, there has been a surge in interest in understanding the complex relations...

    Authors: Matthew Diller, Evan Johnson, Amanda Hicks and William R. Hogan
    Citation: BMC Medical Informatics and Decision Making 2020 20:258
    Content type: Research article Published on:

  12. Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients with early gastric cancer (EGC) is high after surgical resection. To strengthen diagnosing and ...

    Authors: Mi-Mi Liu, Li Wen, Yong-Jia Liu, Qiao Cai, Li-Ting Li and Yong-Ming Cai
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):121
    Content type: Research Published on:

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

  13. The emergence of the deep convolutional neural network (CNN) greatly improves the quality of computer-aided supporting systems. However, due to the challenges of generating reliable and timely results, clinica...

    Authors: Xinyuan Zhang, Shiqi Wang, Jie Liu and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):59
    Content type: Research Published on:

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

  14. Electronic Medical Records(EMRs) contain much medical information about patients. Medical named entity extracting from EMRs can provide value information to support doctors’ decision making. The research on in...

    Authors: Yan Gao, Lei Gu, Yefeng Wang, Yandong Wang and Feng Yang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):56
    Content type: Research Published on:

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

  15. The healthcare industry has been put to test the need to manage enormous amounts of data provided by various sources, which are renowned for providing enormous quantities of heterogeneous information. The data...

    Authors: Abdullah Alharbi, Wael Alosaimi, Hashem Alyami, Bader Alouffi, Ahmed Almulihi, Mohd Nadeem, Mohd Asim Sayeed and Raees Ahmad Khan
    Citation: BMC Medical Informatics and Decision Making 2024 24:240
    Content type: Research Published on:

  16. Most healthcare data sources store information within their own unique schemas, making reliable and reproducible research challenging. Consequently, researchers have adopted various data models to improve the ...

    Authors: Mark D. Danese, Marc Halperin, Jennifer Duryea and Ryan Duryea
    Citation: BMC Medical Informatics and Decision Making 2019 19:117
    Content type: Technical advance Published on:

  17. By elaborately designing crawlers, we retrieved a complete dataset from the “HIV bar,” the largest bar related to HIV on the Baidu Tieba platform, for all records from January 2005 to August 2016. Through natural

    Authors: Chuchu Liu and Xin Lu
    Citation: BMC Medical Informatics and Decision Making 2018 18:2
    Content type: Research article Published on:

  18. The historical data of rare disease is very scarce in reality, so how to perform drug repositioning for the rare disease is a great challenge. Most existing methods of drug repositioning for the rare disease u...

    Authors: Hongkui Cao, Liang Zhang, Bo Jin, Shicheng Cheng, Xiaopeng Wei and Chao Che
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):304
    Content type: Research Published on:

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

  19. Currently the diagnosis of shoulder instability, particularly in children, is difficult and can take time. These diagnostic delays can lead to poorer outcome and long-term complications. A Diagnostic Decision ...

    Authors: Fraser Philp, Alice Faux-Nightingale, Sandra Woolley, Ed de Quincey and Anand Pandyan
    Citation: BMC Medical Informatics and Decision Making 2021 21:78
    Content type: Research article Published on:

  20. In recent years, inter-municipal cooperation in healthcare services has been an important measure implemented to meet future demographic changes in western countries. This entails an increased focus on communi...

    Authors: Elisabeth Holen-Rabbersvik, Elin Thygesen, Tom Roar Eikebrokk, Rune Werner Fensli and Åshild Slettebø
    Citation: BMC Medical Informatics and Decision Making 2018 18:92
    Content type: Research article Published on:

  21. In Australia, screening for colorectal cancer (CRC) with colonoscopy is meant to be reserved for people at increased risk, however, currently there is a mismatch between individuals’ risk of CRC and the type o...

    Authors: Jennifer G Walker, Adrian Bickerstaffe, Nadira Hewabandu, Sanjay Maddumarachchi, James G Dowty, Mark Jenkins, Marie Pirotta, Fiona M Walter and Jon D Emery
    Citation: BMC Medical Informatics and Decision Making 2017 17:13
    Content type: Research article Published on:

  22. The Joint Asia Diabetes Evaluation (JADE) Program is a web-based program incorporating a comprehensive risk engine, care protocols, and clinical decision support to improve ambulatory diabetes care.

    Authors: Gary T Ko, Wing-Yee So, Peter C Tong, Francois Le Coguiec, Debborah Kerr, Greg Lyubomirsky, Beaver Tamesis, Troels Wolthers, Jennifer Nan and Juliana Chan
    Citation: BMC Medical Informatics and Decision Making 2010 10:26
    Content type: Technical advance Published on:

  23. The future risk of heart disease can be predicted with increasing precision. However, more research is needed into how this risk is conveyed and presented. The aim of this study is to compare the effects of pr...

    Authors: Cherry-Ann Waldron, John Gallacher, Trudy van der Weijden, Robert Newcombe and Glyn Elwyn
    Citation: BMC Medical Informatics and Decision Making 2010 10:41
    Content type: Study protocol Published on:

  24. Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramo...

    Authors: Francesco Bagattini, Isak Karlsson, Jonathan Rebane and Panagiotis Papapetrou
    Citation: BMC Medical Informatics and Decision Making 2019 19:7
    Content type: Research article Published on:

  25. In today’s short stay hospital settings the contact time for patients is reduced. However, it seems to be more important for the patients that the healthcare professionals are easy to get in contact with durin...

    Authors: Charlotte D Bjoernes, Birgitte S Laursen, Charlotte Delmar, Elizabeth Cummings and Christian Nøhr
    Citation: BMC Medical Informatics and Decision Making 2012 12:96
    Content type: Research article Published on:

  26. Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-autom...

    Authors: Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace and Iain J. Marshall
    Citation: BMC Medical Informatics and Decision Making 2019 19:96
    Content type: Research article Published on:

  27. Clinical trials are the primary mechanism for advancing clinical care and evidenced-based practice, yet challenges with the recruitment of participants for such trials are widely recognized as a major barrier ...

    Authors: Taylor R Pressler, Po-Yin Yen, Jing Ding, Jianhua Liu, Peter J Embi and Philip R O Payne
    Citation: BMC Medical Informatics and Decision Making 2012 12:47
    Content type: Research article Published on:

  28. Mobile technology to support community health has surged in popularity, yet few studies have systematically examined usability of mobile platforms for this setting.

    Authors: Jayant V. Rajan, Juliana Moura, Gato Gourley, Karina Kiso, Alexandre Sizilio, Ana Maria Cortez, Lee W. Riley, Maria Amelia Veras and Urmimala Sarkar
    Citation: BMC Medical Informatics and Decision Making 2016 16:146
    Content type: Research article Published on:

  29. Clinical prediction tasks such as patient mortality, length of hospital stay, and disease diagnosis are highly important in critical care research. The existing studies for clinical prediction mainly used simp...

    Authors: Chonghui Guo, Menglin Lu and Jingfeng Chen
    Citation: BMC Medical Informatics and Decision Making 2020 20:48
    Content type: Research Article Published on:

  30. Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems r...

    Authors: Hong Kang, Sicheng Zhou, Bin Yao and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):110
    Content type: Research Published on:

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

  31. Malaria is the world’s most prevalent vector-borne disease. Accurate prediction of malaria outbreaks may lead to public health interventions that mitigate disease morbidity and mortality.

    Authors: Anna L. Buczak, Benjamin Baugher, Erhan Guven, Liane C. Ramac-Thomas, Yevgeniy Elbert, Steven M. Babin and Sheri H. Lewis
    Citation: BMC Medical Informatics and Decision Making 2015 15:47
    Content type: Research article Published on:

  32. The ability to prioritize people living with HIV (PLWH) by risk of future transmissions could aid public health officials in optimizing epidemiological intervention. While methods exist to perform such priorit...

    Authors: Kimberly Almaraz, Tyler Jang, McKenna Lewis, Titan Ngo, Miranda Song and Niema Moshiri
    Citation: BMC Medical Informatics and Decision Making 2021 21:177
    Content type: Software Published on:

  33. Medication reconciliation (MedRec), a process to reduce medication error at care transitions, is labour- and resource-intensive and time-consuming. Use of Personal Electronic Records of Medications (PERMs) in ...

    Authors: Catherine Waldron, Joan Cahill, Sam Cromie, Tim Delaney, Sean P. Kennelly, Joshua M. Pevnick and Tamasine Grimes
    Citation: BMC Medical Informatics and Decision Making 2021 21:307
    Content type: Research Published on:

  34. Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied to building applications to understand these records. Most previous m...

    Authors: Ming Cheng, Shufeng Xiong, Fei Li, Pan Liang and Jianbo Gao
    Citation: BMC Medical Informatics and Decision Making 2021 21:372
    Content type: Research Published on:

  35. We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of...

    Authors: Florian Kunneman, Mattijs Lambooij, Albert Wong, Antal van den Bosch and Liesbeth Mollema
    Citation: BMC Medical Informatics and Decision Making 2020 20:33
    Content type: Software Published on:

  36. This research aimed to develop a model for individualized treatment decision-making in inoperable elderly patients with esophageal squamous cell carcinoma (ESCC) using machine learning methods and multi-modal ...

    Authors: Yong Huang, Xiaoyu Huang, Anling Wang, Qiwei Chen, Gong Chen, Jingya Ye, Yaru Wang, Zhihui Qin and Kai Xu
    Citation: BMC Medical Informatics and Decision Making 2023 23:237
    Content type: Research Published on:

  37. Electronic medical records contain a variety of valuable medical information for patients. So, when we are able to recognize and extract risk factors for disease from EMRs of patients with cardiovascular disea...

    Authors: Zhichang Zhang, Yanlong Qiu, Xiaoli Yang and Minyu Zhang
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):123
    Content type: Research Published on:

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

  38. Attrition, or nonuse of the intervention, is a significant problem in e-health. However, the reasons for this phenomenon are poorly understood. Building on Eysenbach's "Law of Attrition", this study aimed to e...

    Authors: Teresa ML Chiu and Gunther Eysenbach
    Citation: BMC Medical Informatics and Decision Making 2010 10:73
    Content type: Research article Published on:

  39. Large-scale medical equipment, which is extensively implemented in medical services, is of vital importance for diagnosis but vulnerable to various anomalies and failures. Most hospitals that conduct regular m...

    Authors: Changxi Wang, Qilin Liu, Haopeng Zhou, Tong Wu, Haowen Liu, Jin Huang, Yixuan Zhuo, Zhenlin Li and Kang Li
    Citation: BMC Medical Informatics and Decision Making 2023 23:166
    Content type: Research Published on:

  40. Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data...

    Authors: Maliha Sultana, Afrida Hossain, Fabiha Laila, Kazi Abu Taher and Muhammad Nazrul Islam
    Citation: BMC Medical Informatics and Decision Making 2020 20:256
    Content type: Research article Published on:

  42. Bio-entity Coreference Resolution (CR) is a vital task in biomedical text mining. An important issue in CR is the differential representation of identical mentions as their similar representations may make the...

    Authors: Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong and Chen Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:116
    Content type: Research Published on:

  43. The digitization of healthcare data, resulting from the increasingly widespread adoption of electronic health records, has greatly facilitated its analysis by computational methods and thereby enabled large-sc...

    Authors: Jing Zhao, Aron Henriksson, Lars Asker and Henrik Boström
    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 4):S1
    Content type: Research article Published on:

    This article is part of a Supplement: Volume 15 Supplement 4

  44. Australia has a comparatively high incidence of colorectal (bowel) cancer; however, population screening uptake using faecal occult blood test (FOBT) remains low. This study will determine the impact on screen...

    Authors: Carlene J Wilson, Ingrid HK Flight, Ian T Zajac, Deborah Turnbull, Graeme P Young, Stephen R Cole and Tess Gregory
    Citation: BMC Medical Informatics and Decision Making 2010 10:50
    Content type: Study protocol Published on:

  45. Basal cell carcinoma (BCC) is a slow-growing, rarely lethal skin cancer that affects people 65 years or older. A range of treatment options exist for BCC, but there is little evidence available to guide patien...

    Authors: Alexandra Junn, Neha R Shukla, Lily Morrison, Meghan Halley, Mary-Margaret Chren, Louise C. Walter, Dominick L. Frosch, Dan Matlock, Jeanette S. Torres and Eleni Linos
    Citation: BMC Medical Informatics and Decision Making 2020 20:81
    Content type: Research article Published on:

  46. As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towa...

    Authors: Jingcheng Du, Jun Xu, Hsing-Yi Song and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):69
    Content type: Research Published on:

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

  47. Case-based reasoning is a proven method that relies on learned cases from the past for decision support of a new case. The accuracy of such a system depends on the applied similarity measure, which quantifies ...

    Authors: Christian Karmen, Matthias Gietzelt, Petra Knaup-Gregori and Matthias Ganzinger
    Citation: BMC Medical Informatics and Decision Making 2019 19:195
    Content type: Research article Published on:

  48. With the wide application of Electronic Medical Record (EMR) systems, it has become a daily work for doctors using keyboards to input clinical information into the EMR system. Chinese Input Method Engine (IME)...

    Authors: Feihong Yang, Haihong Guo and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):237
    Content type: Software Published on:

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

  49. As the first point of contact for patients with health issues, general practitioners (GPs) are frequently confronted with patients presenting with non-specific symptoms of unclear origin. This can result in de...

    Authors: Dania Schütze, Svea Holtz, Michaela C. Neff, Susanne M. Köhler, Jannik Schaaf, Lena S. Frischen, Brita Sedlmayr and Beate S. Müller
    Citation: BMC Medical Informatics and Decision Making 2023 23:144
    Content type: Research Published on:

  50. Automated seizure detection from clinical EEG data can reduce the diagnosis time and facilitate targeting treatment for epileptic patients. However, current detection approaches mainly rely on limited features...

    Authors: Xiaoyan Wei, Lin Zhou, Ziyi Chen, Liangjun Zhang and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):111
    Content type: Research Published on:

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

Submit manuscript

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 3.3
    5-year Journal Impact Factor: 3.9
    Source Normalized Impact per Paper (SNIP): 1.304
    SCImago Journal Rank (SJR): 1.002

    Speed 2023
    Submission to first editorial decision (median days): 18
    Submission to acceptance (median days): 213

    Usage 2023
    Downloads: 2,588,758
    Altmetric mentions: 2,443

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Follow

Sign up for article alerts and news from this journal

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us