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

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  1. Evidence-based Clinical Decision Support Systems (CDSSs) usually obtain clinical evidences from randomized controlled trials based on coarse-grained groups. Individuals who are beyond the scope of the original...

    Authors: Junyi Yang, Liang Xiao and Kangning Li
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):138
    Content type: Research Published on:

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

  2. The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.

    Authors: Yu Xin, Hongxu Li, Yuxin Zhou, Qing Yang, Wenjing Mu, Han Xiao, Zipeng Zhuo, Hongyu Liu, Hongying Wang, Xutong Qu, Changsong Wang, Haitao Liu and Kaijiang Yu
    Citation: BMC Medical Informatics and Decision Making 2023 23:155
    Content type: Research Published on:

  3. Building and validating electronic algorithms to identify patients with specific disease profiles using health data is becoming increasingly important to disease surveillance and population health management. The...

    Authors: Rachael Morkem, Kenneth Handelman, John A. Queenan, Richard Birtwhistle and David Barber
    Citation: BMC Medical Informatics and Decision Making 2020 20:166
    Content type: Research article Published on:

  4. As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis o...

    Authors: Douglas Teoh
    Citation: BMC Medical Informatics and Decision Making 2018 18:127
    Content type: Technical advance Published on:

  5. The secondary use of electronic health records (EHRs) promises to facilitate medical research. We reviewed general data requirements in observational studies and analyzed the feasibility of conducting observat...

    Authors: Marcel von Lucadou, Thomas Ganslandt, Hans-Ulrich Prokosch and Dennis Toddenroth
    Citation: BMC Medical Informatics and Decision Making 2019 19:202
    Content type: Research article Published on:

  6. Critical values are commonly used in clinical laboratory tests to define health-related conditions of varying degrees. Knowing the values, people can quickly become aware of health risks, and the health profes...

    Authors: Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu and Shenda Hong
    Citation: BMC Medical Informatics and Decision Making 2022 22:295
    Content type: Research article Published on:

  7. Traditional Chinese medicine (TCM) is a highly important complement to modern medicine and is widely practiced in China and in many other countries. The work of Chinese medicine is subject to the two factors o...

    Authors: Xintian Chen, Chunyang Ruan, Yanchun Zhang and Huijuan Chen
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):264
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 6

  8. Healthcare is a rapidly expanding area of application for Artificial Intelligence (AI). Although there is considerable excitement about its potential, there are also substantial concerns about the negative imp...

    Authors: Emma K. Frost and Stacy M. Carter
    Citation: BMC Medical Informatics and Decision Making 2020 20:325
    Content type: Research article Published on:

  9. Health problem lists are a key component of electronic health records and are instrumental in the development of decision-support systems that encourage best practices and optimal patient safety. Most health p...

    Authors: Lise Poissant, Laurel Taylor, Allen Huang and Robyn Tamblyn
    Citation: BMC Medical Informatics and Decision Making 2010 10:10
    Content type: Research article Published on:

  10. Machine learning (ML) can be an effective tool to extract information from attribute-rich molecular datasets for the generation of molecular diagnostic tests. However, the way in which the resulting scores or ...

    Authors: Joanna Roder, Laura Maguire, Robert Georgantas III and Heinrich Roder
    Citation: BMC Medical Informatics and Decision Making 2021 21:211
    Content type: Research Published on:

  11. The process of creating and designing Virtual Patients for teaching students of medicine is an expensive and time-consuming task. In order to explore potential methods of mitigating these costs, our group bega...

    Authors: Marcus D Bloice, Klaus-Martin Simonic and Andreas Holzinger
    Citation: BMC Medical Informatics and Decision Making 2013 13:103
    Content type: Research article Published on:

  12. Theory-based approaches are advocated to improve our understanding of prescription behaviour. This study is an application of the theory of planned behaviour (TPB) with additional variables. It was designed to...

    Authors: France Legare, Gaston Godin, Virginie Ringa, Sylvie Dodin, Lucile Turcot and Joanna Norton
    Citation: BMC Medical Informatics and Decision Making 2005 5:31
    Content type: Research article Published on:

  13. Over 100 trials show that patient decision aids effectively improve patients’ information comprehension and values-based decision making. However, gaps remain in our understanding of several fundamental and ap...

    Authors: Aubri S Hoffman, Hilary A Llewellyn-Thomas, Anna N A Tosteson, Annette M O’Connor, Robert J Volk, Ivan M Tomek, Steven B Andrews and Stephen J Bartels
    Citation: BMC Medical Informatics and Decision Making 2014 14:112
    Content type: Research article Published on:

  14. 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:

  15. Technology-based approaches during pregnancy can facilitate the self-reporting of emotional health issues and improve well-being. There is evidence to suggest that stress during pregnancy can affect the foetus...

    Authors: Sara Balderas-Díaz, María José Rodríguez-Fórtiz, José Luis Garrido, Mercedes Bellido-González and Gabriel Guerrero-Contreras
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 4):291
    Content type: Research Published on:

    This article is part of a Supplement: Volume 22 Supplement 4

  16. We consider the user task of designing clinical trial protocols and propose a method that discovers and outputs the most appropriate eligibility criteria from a potentially huge set of candidates. Each document d

    Authors: Angelo Restificar, Ioannis Korkontzelos and Sophia Ananiadou
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S6
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 13 Supplement 1

  17. 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

  18. Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination with a pay-per-use model allow for new ways of develop...

    Authors: Lena Griebel, Hans-Ulrich Prokosch, Felix Köpcke, Dennis Toddenroth, Jan Christoph, Ines Leb, Igor Engel and Martin Sedlmayr
    Citation: BMC Medical Informatics and Decision Making 2015 15:17
    Content type: Research article Published on:

  19. 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:

  20. 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:

  21. 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:

  22. 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

  23. 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:

  24. 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:

  25. 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:

  26. 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:

  27. 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:

  28. 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

  29. 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

  30. 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:

  31. 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

  32. 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:

  33. 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:

  34. 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

  35. 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:

  36. 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:

  37. 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:

  38. 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:

  39. 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:

  40. 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:

  41. 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:

  42. 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:

  43. 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:

  44. 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:

  45. 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

  46. 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:

  47. 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:

  48. 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:

  49. 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:

  50. 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:
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BMC Medical Informatics and Decision Making

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