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  1. Web-based interventions for smoking cessation available in Portuguese do not adhere to evidence-based treatment guidelines. Besides, all existing web-based interventions are built on proprietary platforms that...

    Authors: H. P. Gomide, H. S. Bernardino, K. Richter, L. F. Martins and T. M. Ronzani
    Citation: BMC Medical Informatics and Decision Making 2016 16:103
  2. A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem...

    Authors: Sereh M. J. Simons, Felix H. J. M. Cillessen and Jan A. Hazelzet
    Citation: BMC Medical Informatics and Decision Making 2016 16:102
  3. 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
  4. A specific Electronic Health Record (EHR) for ophthalmology was introduced in an academic center in Germany. As diagnoses coding corresponding to the International Classification of Diseases Version 10 (ICD-10...

    Authors: Karsten Kortüm, Christoph Hirneiß, Michael Müller, Alexander Babenko, Anselm Kampik and Thomas C. Kreutzer
    Citation: BMC Medical Informatics and Decision Making 2016 16:100
  5. Healthcare researchers often use multiple healthcare survey instruments to examine a particular patient symptom. The use of multiple instruments can pose some interesting research questions, such as whether th...

    Authors: Yuncheol Kang, Melinda R. Steis, Ann M. Kolanowski, Donna Fick and Vittaldas V. Prabhu
    Citation: BMC Medical Informatics and Decision Making 2016 16:99
  6. In biomedical research, data sharing and information exchange are very important for improving quality of care, accelerating discovery, and promoting the meaningful secondary use of clinical data. A big concer...

    Authors: Haoyi Shi, Chao Jiang, Wenrui Dai, Xiaoqian Jiang, Yuzhe Tang, Lucila Ohno-Machado and Shuang Wang
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):89

    This article is part of a Supplement: Volume 16 Supplement 3

  7. Nearest neighbor (NN) imputation algorithms are efficient methods to fill in missing data where each missing value on some records is replaced by a value obtained from related cases in the whole set of records...

    Authors: Lorenzo Beretta and Alessandro Santaniello
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):74

    This article is part of a Supplement: Volume 16 Supplement 3

  8. Accurately assessing pain for those who cannot make self-report of pain, such as minimally responsive or severely brain-injured patients, is challenging. In this paper, we attempted to address this challenge b...

    Authors: Lei Yang, Shuang Wang, Xiaoqian Jiang, Samuel Cheng and Hyeon-Eui Kim
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):73

    This article is part of a Supplement: Volume 16 Supplement 3

  9. The study on disease-disease association has been increasingly viewed and analyzed as a network, in which the connections between diseases are configured using the source information on interactome maps of bio...

    Authors: Yonghyun Nam, Myungjun Kim, Kyungwon Lee and Hyunjung Shin
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 3):72

    This article is part of a Supplement: Volume 16 Supplement 3

  10. Despite considerable international eHealth impetus, there is no guidance on the development of online clinical care pathways. Advances in diagnostics now enable self-testing with home diagnosis, to which compr...

    Authors: Jo Gibbs, Lorna J. Sutcliffe, Voula Gkatzidou, Kate Hone, Richard E. Ashcroft, Emma M. Harding-Esch, Catherine M. Lowndes, S. Tariq Sadiq, Pam Sonnenberg and Claudia S. Estcourt
    Citation: BMC Medical Informatics and Decision Making 2016 16:98
  11. The adoption in oncology of Clinical Decision Support (CDS) may help clinical users to efficiently deal with the high complexity of the domain, lead to improved patient outcomes, and reduce the current knowled...

    Authors: Anca Bucur, Jasper van Leeuwen, Nikolaos Christodoulou, Kamana Sigdel, Katerina Argyri, Lefteris Koumakis, Norbert Graf and Georgios Stamatakos
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):87

    This article is part of a Supplement: Volume 16 Supplement 2

  12. Glands are vital structures found throughout the human body and their structure and function are affected by many diseases. The ability to segment and detect glands among other types of tissues is important fo...

    Authors: Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran and Danny Z. Chen
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):80

    This article is part of a Supplement: Volume 16 Supplement 2

  13. Cancer is a disease characterized as an uncontrolled growth of abnormal cells that invades neighboring tissues and destroys them. Lung cancer is the primary cause of cancer-related deaths in the world, and it ...

    Authors: David Jones Ferreira de Lucena, José Raniery Ferreira Junior, Aydano Pamponet Machado and Marcelo Costa Oliveira
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):79

    This article is part of a Supplement: Volume 16 Supplement 2

  14. People want to live independently, but too often disabilities or advanced age robs them of the ability to do the necessary activities of daily living (ADLs). Finding relationships between electromyograms measu...

    Authors: Gene Shuman, Zoran Durić, Daniel Barbará, Jessica Lin and Lynn H. Gerber
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):78

    This article is part of a Supplement: Volume 16 Supplement 2

  15. Longitudinal data sources, such as electronic health records (EHRs), are very valuable for monitoring adverse drug events (ADEs). However, ADEs are heavily under-reported in EHRs. Using machine learning algori...

    Authors: Jing Zhao and Aron Henriksson
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):71

    This article is part of a Supplement: Volume 16 Supplement 2

  16. Epileptic seizure is a serious health problem in the world and there is a huge population suffering from it every year. If an algorithm could automatically detect seizures and deliver the patient therapy or no...

    Authors: Guangxu Xun, Xiaowei Jia and Aidong Zhang
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):70

    This article is part of a Supplement: Volume 16 Supplement 2

  17. Learning deep representations of clinical events based on their distributions in electronic health records has been shown to allow for subsequent training of higher-performing predictive models compared to the...

    Authors: Aron Henriksson, Jing Zhao, Hercules Dalianis and Henrik Boström
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 2):69

    This article is part of a Supplement: Volume 16 Supplement 2

  18. The utilization of routine health information systems (HIS) for surveillance of assisted partner services (aPS) for HIV in sub-Saharan is sub-optimal, in part due to poor data quality and limited use of inform...

    Authors: Peter Cherutich, Matthew Golden, Bourke Betz, Beatrice Wamuti, Anne Ng’ang’a, Peter Maingi, Paul Macharia, Betsy Sambai, Felix Abuna, David Bukusi, Mathew Dunbar and Carey Farquhar
    Citation: BMC Medical Informatics and Decision Making 2016 16:97
  19. Risk calculation is increasingly used in lipid management, congestive heart failure, and atrial fibrillation. The risk scores are then used for decisions about statin use, anticoagulation, and implantable defi...

    Authors: Frederick North, Samuel Fox and Rajeev Chaudhry
    Citation: BMC Medical Informatics and Decision Making 2016 16:96
  20. Cardiac rehabilitation (CR) can slow or reverse the progression of cardiovascular disease (CVD). However, uptake of community-based CR is very low. E-cardiology, e-health and technology solutions for physical ...

    Authors: Roselien Buys, Jomme Claes, Deirdre Walsh, Nils Cornelis, Kieran Moran, Werner Budts, Catherine Woods and Véronique A. Cornelissen
    Citation: BMC Medical Informatics and Decision Making 2016 16:95
  21. The Variome corpus, a small collection of published articles about inherited colorectal cancer, includes annotations of 11 entity types and 13 relation types related to the curation of the relationship between...

    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

  22. Prostate specific antigen (PSA) is an important biomarker to monitor the response to the treatment, but has not been fully utilized as a whole sequence. We used a longitudinal biomarker PSA to discover a new p...

    Authors: Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi and Hwanjo Yu
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):63

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

  23. To facilitate long-term safety surveillance of marketing drugs, many spontaneously reporting systems (SRSs) of ADR events have been established world-wide. Since the data collected by SRSs contain sensitive pe...

    Authors: Wen-Yang Lin, Duen-Chuan Yang and Jie-Teng Wang
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):58

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

  24. The volume of research published in the biomedical domain has increasingly lead to researchers focussing on specific areas of interest and connections between findings being missed. Literature based discovery ...

    Authors: Judita Preiss and Mark Stevenson
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):57

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

  25. The survival of patients with breast cancer is highly sporadic, from a few months to more than 15 years. In recent studies, the gene expression profiling of tumors has been used as a promising means of predict...

    Authors: Soobok Joe and Hojung Nam
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):56

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

  26. Identifying subtypes of complex diseases such as cancer is the very first step toward developing highly customized therapeutics on such diseases, as their origins significantly vary even with similar physiolog...

    Authors: Sungwon Jung
    Citation: BMC Medical Informatics and Decision Making 2016 16(Suppl 1):55

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

  27. As health care becomes more complex, it becomes more important for clinicians and patients to share information. Electronic health information exchange can help address this need. To this end, all provinces an...

    Authors: Sukirtha Tharmalingam, Simon Hagens and Jennifer Zelmer
    Citation: BMC Medical Informatics and Decision Making 2016 16:93
  28. The study investigated the feasibility of conducting a future Randomised Controlled Trial (RCT) of a mobile health (mHealth) intervention for weight loss and HbA1c reduction in Type 2 Diabetes Mellitus (T2DM).

    Authors: Claire L. Bentley, Olubukola Otesile, Ruth Bacigalupo, Jackie Elliott, Hayley Noble, Mark S. Hawley, Elizabeth A. Williams and Peter Cudd
    Citation: BMC Medical Informatics and Decision Making 2016 16:92
  29. A growing number of physicians are using social media as a professional platform for health communication. The purpose of this study was to understand perspectives and experiences of these “early adopter” phys...

    Authors: Lauren Campbell, Yolanda Evans, Megan Pumper and Megan A. Moreno
    Citation: BMC Medical Informatics and Decision Making 2016 16:91
  30. Electronic medical records (EMR) offer a major potential for secondary use of data for research which can improve the safety, quality and efficiency of healthcare. They also enable the measurement of disease b...

    Authors: Michelle Helena van Velthoven, Nikolaos Mastellos, Azeem Majeed, John O’Donoghue and Josip Car
    Citation: BMC Medical Informatics and Decision Making 2016 16:90
  31. Health information is increasingly being digitally stored and exchanged. The public is regularly collecting and storing health-related data on their own electronic devices and in the cloud. Diabetes prevention...

    Authors: Rebecca Grochow Mishuris, Jordan Yoder, Dan Wilson and Devin Mann
    Citation: BMC Medical Informatics and Decision Making 2016 16:88
  32. Improving retention in prevention of mother to child transmission (PMTCT) of HIV programs is critical to optimize maternal and infant health outcomes, especially now that lifelong treatment is immediate regard...

    Authors: Patricia Opondo Awiti, Alessandra Grotta, Mia van der Kop, John Dusabe, Anna Thorson, Jonathan Mwangi, Rino Belloco, Richard Lester, Laura Ternent, Edwin Were and Anna Mia Ekström
    Citation: BMC Medical Informatics and Decision Making 2016 16:86
  33. In organisational theory there is an assumption that knowledge is used effectively in healthcare systems that perform well. Actors in healthcare systems focus on managing knowledge of clinical processes like, ...

    Authors: Myriam Lingg, Kaspar Wyss and Luis Durán-Arenas
    Citation: BMC Medical Informatics and Decision Making 2016 16:85
  34. Mobile phone technology is utilized for better delivery of health services worldwide. In low-and-middle income countries mobile phones are now ubiquitous. Thus leveraging mHealth applications in health sector ...

    Authors: Ramkrishnan Balakrishnan, Vijayaprasad Gopichandran, Sharadprakash Chaturvedi, Rahul Chatterjee, Tanmay Mahapatra and Indrajit Chaudhuri
    Citation: BMC Medical Informatics and Decision Making 2016 16:84
  35. A growing body of literature affirms the usefulness of mobile technologies, including mobile applications (apps), in the primary prevention field. The quality of health apps, which today number in the thousand...

    Authors: Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Bernard Patrick, Stoyan Stoyanov, Leanne Hides, Roberto Gasparini and Donatella Panatto
    Citation: BMC Medical Informatics and Decision Making 2016 16:83
  36. Administrative health care data are frequently used to study disease burden and treatment outcomes in many conditions including osteoarthritis (OA). OA is a chronic condition with significant disease burden af...

    Authors: Swastina Shrestha, Amish J. Dave, Elena Losina and Jeffrey N. Katz
    Citation: BMC Medical Informatics and Decision Making 2016 16:82
  37. In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by leg...

    Authors: Wolfgang Kuchinke, Christian Krauth, René Bergmann, Töresin Karakoyun, Astrid Woollard, Irene Schluender, Benjamin Braasch, Martin Eckert and Christian Ohmann
    Citation: BMC Medical Informatics and Decision Making 2016 16:81
  38. No automated methods exist to objectively monitor and evaluate the diagnostic process while physicians review computerized medical images. The present study tested whether using eye tracking to monitor tonic a...

    Authors: Tad T. Brunyé, Marianna D. Eddy, Ezgi Mercan, Kimberly H. Allison, Donald L. Weaver and Joann G. Elmore
    Citation: BMC Medical Informatics and Decision Making 2016 16:77
  39. Universal human immunodeficiency virus (HIV) screening remains low in many clinical practices despite published guidelines recommending screening for all patients between ages 13–65. Electronic clinical decisi...

    Authors: Jasmine R. Marcelin, Eugene M. Tan, Alberto Marcelin, Marianne Scheitel, Praveen Ramu, Ronald Hankey, Pritesh Keniya, Majken Wingo, Stacey A. Rizza, Frederick North and Rajeev Chaudhry
    Citation: BMC Medical Informatics and Decision Making 2016 16:76
  40. The use of telemonitoring is a promising approach to optimizing outcomes in the treatment of heart failure (HF) for patients living in the community. HF telemonitoring interventions, however, have not been tes...

    Authors: R. Pekmezaris, R. M. Schwartz, T. N. Taylor, P. DiMarzio, C. N. Nouryan, L. Murray, G. McKenzie, D. Ahern, S. Castillo, K. Pecinka, L. Bauer, T. Orona and A.N. Makaryus
    Citation: BMC Medical Informatics and Decision Making 2016 16:75
  41. Eye tracking is commonly used in marketing to understand complex responses to materials, but has not been used to understand how low-literacy adults access health information or its relationship to decision ma...

    Authors: Sarah Bauerle Bass, Thomas F. Gordon, Ryan Gordon and Claudia Parvanta
    Citation: BMC Medical Informatics and Decision Making 2016 16:67
  42. Despite the potential of eHealth services to revolutionize the way healthcare and prevention is provided many applications developed for patients fail to deliver their promise. Therefore, the aim of this study...

    Authors: Nadia Davoody, Sabine Koch, Ingvar Krakau and Maria Hägglund
    Citation: BMC Medical Informatics and Decision Making 2016 16:66
  43. Radiology reports are a rich resource for biomedical research. Prior to utilization, trained experts must manually review reports to identify discrete outcomes. The Audiological and Genetic Database (AudGenDB)...

    Authors: Aaron J. Masino, Robert W. Grundmeier, Jeffrey W. Pennington, John A. Germiller and E. Bryan Crenshaw III
    Citation: BMC Medical Informatics and Decision Making 2016 16:65
  44. Shared decision-making (SDM) is considered a key component of high quality cancer care and may be supported by patient decision aids (PtDAs). Many patients, however, face multiple social disadvantages that may...

    Authors: Kimberly R. Enard, Patricia Dolan Mullen, Geetanjali R. Kamath, Nickell M. Dixon and Robert J. Volk
    Citation: BMC Medical Informatics and Decision Making 2016 16:64
  45. Vital sign data are important for clinical decision making in emergency care. Clinical Decision Support Systems (CDSS) have been advocated to increase patient safety and quality of care. However, the efficienc...

    Authors: Niclas Skyttberg, Joana Vicente, Rong Chen, Hans Blomqvist and Sabine Koch
    Citation: BMC Medical Informatics and Decision Making 2016 16:61
  46. 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
  47. Several models have been proposed to predict the short-term outcome of acute-on-chronic liver failure (ACLF) after treatment. We aimed to determine whether better decisions for artificial liver support system ...

    Authors: Gang Qin, Zhao-Lian Bian, Yi Shen, Lei Zhang, Xiao-Hong Zhu, Yan-Mei Liu and Jian-Guo Shao
    Citation: BMC Medical Informatics and Decision Making 2016 16:59
  48. PubMed is a widely used database for scientists to find biomedical-related literature. Due to the complexity of the selected research subject and its interdisciplinary nature, as well as the exponential growth...

    Authors: Yan Su, James Andrews, Hong Huang, Yue Wang, Liangliang Kong, Peter Cannon and Ping Xu
    Citation: BMC Medical Informatics and Decision Making 2016 16:54

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