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

Page 7 of 8

  1. 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

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  2. 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

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  3. 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

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  4. 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

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  5. 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

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  6. 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

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  7. 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

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

  8. 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

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  9. 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

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  10. 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

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  11. 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

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

  12. 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

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

  13. 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

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  14. 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

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

  15. 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

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  16. 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

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    This article is part of a Supplement: Volume 19 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

    Content type: Study protocol

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  18. 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

    Content type: Research article

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  19. 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

    Content type: Research article

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  20. 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

    Content type: Research

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

  21. 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

    Content type: Technical advance

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

  22. 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

    Content type: Research article

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  23. 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

    Content type: Research article

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  24. 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

    Content type: Research article

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  25. 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

    Content type: Software

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  26. 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

    Content type: Research article

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  27. 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

    Content type: Study protocol

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  28. 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

    Content type: Research article

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  29. 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

    Content type: Research

    Published on:

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

  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

    Content type: Research article

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  31. 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

    Content type: Research article

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  32. 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

    Content type: Research article

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  33. 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

    Content type: Research article

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  34. 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

    Content type: Research

    Published on:

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

  35. 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

    Content type: Research article

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  36. 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

    Content type: Research article

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  37. 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

    Content type: Research article

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  38. 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

    Content type: Study protocol

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  39. 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

    Content type: Research

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

  40. 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

    Content type: Research article

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  41. Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diag...

    Authors: Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou and Jing Gao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):267

    Content type: Research

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

  42. 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

    Content type: Research

    Published on:

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

  43. 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

    Content type: Research article

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  44. 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

    Content type: Debate

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  45. De-identification is the first step to use these records for data processing or further medical investigations in electronic medical records. Consequently, a reliable automated de-identification system would b...

    Authors: Yue-Shu Zhao, Kun-Li Zhang, Hong-Chao Ma and Kun Li

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):18

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 1

  46. An academic, community medicine partnership was established to build a phenotype-to-outcome model targeting chronic pain. This model will be used to drive clinical decision support for pain medicine in the com...

    Authors: David A. Juckett, Fred N. Davis, Mark Gostine, Philip Reed and Rebecca Risko

    Citation: BMC Medical Informatics and Decision Making 2015 15:41

    Content type: Research article

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  47. Decision Boxes are summaries of the most important benefits and harms of health interventions provided to clinicians before they meet the patient, to prepare them to help patients make informed and value-based...

    Authors: Anik Giguere, Michel Labrecque, Roland Grad, Michel Cauchon, Matthew Greenway, France Légaré, Pierre Pluye, Stephane Turcotte, Lisa Dolovich and R Brian Haynes

    Citation: BMC Medical Informatics and Decision Making 2012 12:85

    Content type: Study protocol

    Published on:

  48. Enhancing the self-management capability of asthma patients can improve their level of asthma control. Although the use of mobile health technology among asthmatics to facilitate self-management has become a g...

    Authors: Zhifang Guan, Liu Sun, Qian Xiao and Yanling Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:192

    Content type: Research article

    Published on:

  49. To implement informed shared decision-making (ISDM) in breast care centres, we developed and piloted an inter-professional complex intervention.

    Authors: Birte Berger-Höger, Katrin Liethmann, Ingrid Mühlhauser and Anke Steckelberg

    Citation: BMC Medical Informatics and Decision Making 2017 17:160

    Content type: Research article

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  50. Our objective was to develop a model for measuring re-identification risk that more closely mimics the behaviour of an adversary by accounting for repeated attempts at matching and verification of matches, and...

    Authors: Khaled El Emam, Fida K Dankar, Angelica Neisa and Elizabeth Jonker

    Citation: BMC Medical Informatics and Decision Making 2013 13:114

    Content type: Research article

    Published on: