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

Page 13 of 14

  1. 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
  2. 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

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

  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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

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

  9. 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
  10. 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

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

  11. 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
  12. 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
  13. Nearly half of US adults with diagnosed hypertension have uncontrolled blood pressure. Clinical inertia may contribute, including patient-physician uncertainty about how variability in blood pressures impacts ...

    Authors: Richelle J. Koopman, Shannon M. Canfield, Jeffery L. Belden, Pete Wegier, Victoria A. Shaffer, K. D. Valentine, Akshay Jain, Linsey M. Steege, Sonal J. Patil, Mihail Popescu and Michael L. LeFevre
    Citation: BMC Medical Informatics and Decision Making 2020 20:195
  14. Electronic Patient-Reported Outcomes (ePROs) have potential to improve health outcomes and healthcare. The development of health-technology applications, such as ePROs, should include the potential users and b...

    Authors: Petra V Lostelius, Magdalena Mattebo, Eva Thors Adolfsson, Anne Söderlund, Mikael Andersén, Sofia Vadlin and Åsa Revenäs
    Citation: BMC Medical Informatics and Decision Making 2023 23:91
  15. 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

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

  16. 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

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

  17. Chronic low back pain is a common chronic condition whose treatment success can be improved by active involvement of patients. Patient involvement can be fostered by web-based applications combining health inf...

    Authors: Jörg Dirmaier, Martin Härter and Nina Weymann
    Citation: BMC Medical Informatics and Decision Making 2013 13:66
  18. Acute kidney injury (AKI) is common in hospitalized patients and is associated with poor patient outcomes and high costs of care. The implementation of clinical decision support tools within electronic medical...

    Authors: Megan Howarth, Meha Bhatt, Eleanor Benterud, Anna Wolska, Evan Minty, Kyoo-Yoon Choi, Andrea Devrome, Tyrone G. Harrison, Barry Baylis, Elijah Dixon, Indraneel Datta, Neesh Pannu and Matthew T. James
    Citation: BMC Medical Informatics and Decision Making 2020 20:287
  19. It is beneficial for health care institutions to monitor physician prescribing patterns to ensure that high-quality and cost-effective care is being provided to patients. However, detecting treatment patterns ...

    Authors: Daniel Backenroth, Herbert S. Chase, Ying Wei and Carol Friedman
    Citation: BMC Medical Informatics and Decision Making 2017 17:175
  20. The inability of patients to accurately and completely recount their clinical status between clinic visits reduces the clinician’s ability to properly manage their patients. One way to improve this situation i...

    Authors: Cubby L. Gardner, Fang Liu, Paul Fontelo, Michael C. Flanagan, Albert Hoang and Harry B. Burke
    Citation: BMC Medical Informatics and Decision Making 2017 17:41
  21. Significant resources are invested in the production of research knowledge with the ultimate objective of integrating research evidence into practice. Toolkits are becoming increasingly popular as a knowledge ...

    Authors: Raluca Barac, Sherry Stein, Beth Bruce and Melanie Barwick
    Citation: BMC Medical Informatics and Decision Making 2014 14:121
  22. The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better metho...

    Authors: V. Laengsri, W. Shoombuatong, W. Adirojananon, C. Nantasenamat, V. Prachayasittikul and P. Nuchnoi
    Citation: BMC Medical Informatics and Decision Making 2019 19:212

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:228

  23. Breast cancer is a worldwide health concern. For early stage breast cancer patients, choosing the surgical method after diagnosis is always a dilemma. Decision aids designed for use by patients are tools which...

    Authors: Jing Si, Rong Guo, Xiang Lu, Chao Han, Li Xue, Dan Xing and Caiping Chen
    Citation: BMC Medical Informatics and Decision Making 2020 20:275
  24. Disease prediction based on Electronic Health Records (EHR) has become one hot research topic in biomedical community. Existing work mainly focuses on the prediction of one target disease, and little work is p...

    Authors: Yafeng Ren, Hao Fei, Xiaohui Liang, Donghong Ji and Ming Cheng
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):51

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

  25. In low-resource settings, there are numerous socioeconomic challenges such as poverty, inadequate facilities, shortage of skilled health workers, illiteracy and cultural barriers that contribute to high matern...

    Authors: Stephen Mburu and Robert Oboko
    Citation: BMC Medical Informatics and Decision Making 2018 18:67
  26. The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications tech...

    Authors: J. F. Avila-Tomas, E. Olano-Espinosa, C. Minué-Lorenzo, F. J. Martinez-Suberbiola, B. Matilla-Pardo, M. E. Serrano-Serrano and E. Escortell-Mayor
    Citation: BMC Medical Informatics and Decision Making 2019 19:249
  27. Mobile phones and personal digital assistants have been used for data collection in developing world settings for over three decades, and have become increasingly common. However, the use of electronic data ca...

    Authors: Avi Kenny, Nicholas Gordon, Jordan Downey, Owen Eddins, Kathleen Buchholz, Alvin Menyon and William Mansah
    Citation: BMC Medical Informatics and Decision Making 2020 20:39
  28. Computerized decision support systems (CDSS) are believed to have the potential to improve the quality of health care delivery, although results from high quality studies have been mixed. We conducted a system...

    Authors: Brent Mollon, Jaron JR Chong, Anne M Holbrook, Melani Sung, Lehana Thabane and Gary Foster
    Citation: BMC Medical Informatics and Decision Making 2009 9:11
  29. Murray score is the result of an equation that gives all its variables the same linear contribution and weight and makes use of consented cut-offs. Everyday physicians' vocabulary is full of terms (adjectives)...

    Authors: Carlos E D'Negri and Eduardo L De Vito
    Citation: BMC Medical Informatics and Decision Making 2010 10:70
  30. Undernutrition is a major concern for Myanmar children with low exclusive breastfeeding rate (24%). A formative study was conducted to explore the perceptions and practices relating to exclusive breastfeeding,...

    Authors: Myat Pan Hmone, Michael J. Dibley, Mu Li and Ashraful Alam
    Citation: BMC Medical Informatics and Decision Making 2016 16:60
  31. Despite international initiatives like Orphanet, it remains difficult to find up-to-date information about rare diseases. The aim of this study is to propose an exhaustive set of queries for PubMed based on te...

    Authors: N. Griffon, M. Schuers, F. Dhombres, T. Merabti, G. Kerdelhué, L. Rollin and S. J. Darmoni
    Citation: BMC Medical Informatics and Decision Making 2016 16:101
  32. In this paper, we focus on assessing performance on extracting the relations in the corpus, using gold standard entities as a starting point, to establish a baseline for extraction of relations important for extr...

    Authors: Karin M. Verspoor, Go Eun Heo, Keun Young Kang and Min Song
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):68

    This article is part of a Supplement: Volume 16 Supplement 1

  33. When a new drug is launched onto the market, information about the new manufactured product is contained in its monograph and evaluation report published by national drug agencies. Health professionals need to...

    Authors: Maia Iordatii, Alain Venot and Catherine Duclos
    Citation: BMC Medical Informatics and Decision Making 2013 13:10
  34. Data collected in EHRs have been widely used to identifying specific conditions; however there is still a need for methods to define comorbidities and sources to identify comorbidities burden. We propose an ap...

    Authors: Jean-Baptiste Escudié, Bastien Rance, Georgia Malamut, Sherine Khater, Anita Burgun, Christophe Cellier and Anne-Sophie Jannot
    Citation: BMC Medical Informatics and Decision Making 2017 17:140
  35. Electronic medical record systems are being implemented in many countries to support healthcare services. However, its adoption rate remains low, especially in developing countries due to technological, financ...

    Authors: Senafekesh Biruk, Tesfahun Yilma, Mulusew Andualem and Binyam Tilahun
    Citation: BMC Medical Informatics and Decision Making 2014 14:115
  36. Main adverse cardiac events (MACE) are essentially composite endpoints for assessing safety and efficacy of treatment processes of acute coronary syndrome (ACS) patients. Timely prediction of MACE is highly va...

    Authors: Huilong Duan, Zhoujian Sun, Wei Dong and Zhengxing Huang
    Citation: BMC Medical Informatics and Decision Making 2019 19:5
  37. Prostate-Specific Antigen (PSA) screening for early detection of prostate cancer (PCa) may prevent some cancer deaths, but also may miss some cancers or lead to unnecessary and potentially harmful treatment. T...

    Authors: Søren Birkeland, Susanne S. Pedersen, Anders K. Haakonsson, Michael J. Barry and Nina Rottmann
    Citation: BMC Medical Informatics and Decision Making 2020 20:65
  38. The intensive care unit (ICU) length of stay (LOS) of patients undergoing cardiac surgery may vary considerably, and is often difficult to predict within the first hours after admission. The early clinical evo...

    Authors: Geert Meyfroidt, Fabian Güiza, Dominiek Cottem, Wilfried De Becker, Kristien Van Loon, Jean-Marie Aerts, Daniël Berckmans, Jan Ramon, Maurice Bruynooghe and Greet Van den Berghe
    Citation: BMC Medical Informatics and Decision Making 2011 11:64
  39. The most important knowledge in the field of patient safety is regarding the prevention and reduction of patient safety events (PSE) during treatment and care. The similarities and patterns among the events ma...

    Authors: Hong Kang and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):75

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

  40. Diagnosis-related groups (DRGs) are a payment system that could effectively solve the problem of excessive increases in healthcare costs which are applied as a principal measure in the healthcare reform in Chi...

    Authors: Xiaoting Liu, Chenhao Fang, Chao Wu, Jianxing Yu and Qi Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21:312
  41. Management of diabetes through improved glycemic control and risk factor modification can help prevent long-term complications. Much diabetes management is self-management, in which healthcare providers play a...

    Authors: Laura Desveaux, Payal Agarwal, Jay Shaw, Jennifer M. Hensel, Geetha Mukerji, Nike Onabajo, Husayn Marani, Trevor Jamieson, Onil Bhattacharyya, Danielle Martin, Muhammad Mamdani, Lianne Jeffs, Walter P. Wodchis, Noah M. Ivers and R. Sacha Bhatia
    Citation: BMC Medical Informatics and Decision Making 2016 16:144
  42. Acute Kidney Injury (AKI) occurs in at least 5 % of hospitalized patients and can result in 40–70 % morbidity and mortality. Even following recovery, many subjects may experience progressive deterioration of r...

    Authors: Rohit J. Kate, Ruth M. Perez, Debesh Mazumdar, Kalyan S. Pasupathy and Vani Nilakantan
    Citation: BMC Medical Informatics and Decision Making 2016 16:39
  43. Parents who have to make tracheostomy decisions for their critically ill child may face forecasting errors and wish to learn from peer parents. We sought to develop an intervention with peer parent narratives ...

    Authors: Haoyang Yan, Stephanie K. Kukora, Kenneth Pituch, Patricia J. Deldin, Cynthia Arslanian-Engoren and Brian J. Zikmund-Fisher
    Citation: BMC Medical Informatics and Decision Making 2022 22:197
  44. The Chinese assessment standards of the International Classification of Functioning, Disability and Health Rehabilitation Set is available now. It is coming to be used as a basic functional evaluation tool in ...

    Authors: Malan Zhang, Jiani Yu, Wei Shen, Yun Zhang, Yun Xiang, Xinting Zhang, Ziling Lin and Tiebin Yan
    Citation: BMC Medical Informatics and Decision Making 2020 20:12
  45. Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the ...

    Authors: V.G.Vinod Vydiswaran and Manoj Reddy
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):68

    This article is part of a Supplement: Volume 19 Supplement 3

  46. Around 300 million people worldwide have asthma and prevalence is increasing. Self-management can be effective in improving a range of outcomes and is cost effective, but is underutilised as a treatment strate...

    Authors: Deborah Morrison, Frances S. Mair, Rekha Chaudhuri, Marilyn McGee-Lennon, Mike Thomas, Neil C. Thomson, Lucy Yardley and Sally Wyke
    Citation: BMC Medical Informatics and Decision Making 2015 15:57
  47. Data-intensive research in medicine and healthcare such as health-related big data research (HBDR) implies that data from clinical routine, research and patient-reported data, but also non-medical social or de...

    Authors: Katharina Beier, Mark Schweda and Silke Schicktanz
    Citation: BMC Medical Informatics and Decision Making 2019 19:90
  48. Accurately recognizing rare diseases based on symptom description is an important task in patient triage, early risk stratification, and target therapies. However, due to the very nature of rare diseases, the ...

    Authors: Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng and Qiaozhu Mei
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):238

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

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