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  1. Clinical registers constitute an invaluable resource in the medical data-driven decision making context. Accurate machine learning and data mining approaches on these data can lead to faster diagnosis, definit...

    Authors: Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò and Barbara Di Camillo

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 5):174

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 5

  2. 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

    Content type: Research article

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  3. In recent years, online pharmacies have been accepted by increasingly more consumers, and the prospects for online pharmacies are optimistic. This article explores the consumers’ satisfaction factors addressed...

    Authors: Jingfang Liu, Yingyi Zhou, Xiaoyan Jiang and Wei Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20:194

    Content type: Research article

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  4. There are serious safety risks associated with chemotherapy, often associated with interdependencies in regimens administered over months or years. Various strategies are used to manage these risks. Computeriz...

    Authors: Valentina Lichtner, Bryony Dean Franklin, Luciano Dalla-Pozza and Johanna I. Westbrook

    Citation: BMC Medical Informatics and Decision Making 2020 20:193

    Content type: Research article

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  5. Asthma is one of the most common chronic diseases in childhood. Regular follow-up of physiological parameters in the home setting, in relation to asthma symptoms, can provide complementary quantitative insight...

    Authors: M. R. van der Kamp, E. C. Klaver, B. J. Thio, J. M. M. Driessen, F. H. C. de Jongh, M. Tabak, J. van der Palen and H. J. Hermens

    Citation: BMC Medical Informatics and Decision Making 2020 20:192

    Content type: Research article

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  6. Many suggest that shared decision-making (SDM) is the most effective approach to clinical counseling. It is unclear if this applies to surgical decision-making-especially regarding urgent, highly-morbid operat...

    Authors: Laura A. Shinkunas, Caleb J. Klipowicz and Erica M. Carlisle

    Citation: BMC Medical Informatics and Decision Making 2020 20:190

    Content type: Research article

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  7. Shared decision making with older adults living with neurocognitive disorders is challenging for primary healthcare professionals. We studied the implementation of a professional training program featuring an ...

    Authors: Moulikatou Adouni Lawani, Luc Côté, Laetitia Coudert, Michèle Morin, Holly O. Witteman, Danielle Caron, Edeltraut Kroger, Philippe Voyer, Charo Rodriguez, France Légaré and Anik M. C. Giguere

    Citation: BMC Medical Informatics and Decision Making 2020 20:189

    Content type: Research article

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  8. The WHO recommends that individuals exposed to persons with multidrug resistant tuberculosis (MDRTB) should be screened for active TB and followed up for 2 years to detect and treat secondary cases early. Reso...

    Authors: Kush Naker, Katherine M. Gaskell, Munhjargal Dorjravdan, Naranzul Dambaa, Chrissy H. Roberts and David A. J. Moore

    Citation: BMC Medical Informatics and Decision Making 2020 20:188

    Content type: Research article

    Published on:

  9. Determining the primary indication of a surgical procedure can be useful in identifying patients undergoing elective surgery where shared decision-making is recommended. The purpose of this study was to develo...

    Authors: John C. Giardina, Thomas Cha, Steven J. Atlas, Michael J. Barry, Andrew A. Freiberg, Lauren Leavitt, Felisha Marques and Karen Sepucha

    Citation: BMC Medical Informatics and Decision Making 2020 20:187

    Content type: Research article

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  10. Growing demand for medical services has increased patient waiting time due to the limited number or unbalanced distribution of healthcare centers. Healthcare teleconsultation networks are one of the potentiall...

    Authors: Mohammad Mahdi Taghipour and Mohammad Mehdi Sepehri

    Citation: BMC Medical Informatics and Decision Making 2020 20:186

    Content type: Research article

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  11. Administrative healthcare databases are widespread and are often standardized with regard to their content and data coding, thus they can be used also as data sources for surveillance and epidemiological resea...

    Authors: Dino Gibertoni, Claudio Voci, Marica Iommi, Benedetta D’Ercole, Marcora Mandreoli, Antonio Santoro and Elena Mancini

    Citation: BMC Medical Informatics and Decision Making 2020 20:185

    Content type: Research article

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  12. Quantifying soccer players’ performance using different types of technologies helps coaches in making tactical decisions and maintaining players’ health. Little is known about the relation between the performa...

    Authors: Jassim Almulla, Abdulrahman Takiddin and Mowafa Househ

    Citation: BMC Medical Informatics and Decision Making 2020 20:184

    Content type: Research article

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  13. China has had about 1.2 billion mobile-phone users, and this number continues to grow. However, mobile-health services (mHealth) are currently in the initial stage, and have not yet prevailed in China. Additio...

    Authors: J. Hu, D. Z. Yuan, Q. Y. Zhao, X. F. Wang, X. T. Zhang, Q. H. Jiang, H. R. Luo, J. Li, J. H. Ran and J. F. Li

    Citation: BMC Medical Informatics and Decision Making 2020 20:183

    Content type: Research article

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  14. Stakeholder engagement is being increasingly recognised as an important way to achieving impact in public health. The WorkHORSE (Working Health Outcomes Research Simulation Environment) project was designed to co...

    Authors: Ffion Lloyd-Williams, Lirije Hyseni, Maria Guzman-Castillo, Chris Kypridemos, Brendan Collins, Simon Capewell, Ellen Schwaller and Martin O’Flaherty

    Citation: BMC Medical Informatics and Decision Making 2020 20:182

    Content type: Research article

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  15. Chronic patients persistently seek for health information on the internet for medication information seeking, nutrition, disease management, information regarding disease preventive actions and so on. Consumer...

    Authors: Kirubel Biruk Shiferaw, Binyam Chakilu Tilahun, Berhanu Fikadie Endehabtu, Monika Knudsen Gullslett and Shegaw Anagaw Mengiste

    Citation: BMC Medical Informatics and Decision Making 2020 20:181

    Content type: Research article

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  16. User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to comp...

    Authors: Reza Abbasi, Monireh Sadeqi Jabali, Reza Khajouei and Hamidreza Tadayon

    Citation: BMC Medical Informatics and Decision Making 2020 20:180

    Content type: Research article

    Published on:

  17. Malignant pleural effusion (MPE) is a common, serious problem predominantly seen in metastatic lung and breast cancer and malignant pleural mesothelioma. Recurrence of malignant pleural effusion is common, and...

    Authors: Cheryl Grindell, Angela Tod, Remi Bec, Daniel Wolstenholme, Rahul Bhatnagar, Parthipan Sivakumar, Anna Morley, Jayne Holme, Judith Lyons, Maryam Ahmed, Susan Jackson, Deirdre Wallace, Farinaz Noorzad, Meera Kamalanathan, Liju Ahmed and Mathew Evison

    Citation: BMC Medical Informatics and Decision Making 2020 20:179

    Content type: Research article

    Published on:

  18. More information is often thought to improve medical decision-making, which may lead to test overuse. This study assesses which out of 15 laboratory tests contribute to diagnosing the underlying cause of anaem...

    Authors: Michelle M. A. Kip, Martijn L. J. Oonk, Mark-David Levin, Annemarie Schop, Patrick J. E. Bindels, Ron Kusters and Hendrik Koffijberg

    Citation: BMC Medical Informatics and Decision Making 2020 20:178

    Content type: Research article

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  19. A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes...

    Authors: Muhammad Shabaan, Kaleem Arshid, Muhammad Yaqub, Feng Jinchao, M. Sultan Zia, Giridhar Reddy Boja, Muazzam Iftikhar, Usman Ghani, Loknath Sai Ambati and Rizwan Munir

    Citation: BMC Medical Informatics and Decision Making 2020 20:177

    Content type: Review

    Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2020 20:217

  20. Poor adherence to long-term recombinant human growth hormone (r-hGH) treatment can lead to suboptimal clinical outcomes; consequently, supporting and monitoring adherence is a crucial part of patient managemen...

    Authors: Ekaterina Koledova, Vincenzo Tornincasa and Paula van Dommelen

    Citation: BMC Medical Informatics and Decision Making 2020 20:176

    Content type: Research article

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  21. Informational discontinuity can have far reaching consequences like medical errors, increased re-hospitalization rates and adverse events among others. Thus the holy grail of seamless informational continuity ...

    Authors: Naveen R. Gowda, Atul Kumar, Sanjay K. Arya and Vikas H

    Citation: BMC Medical Informatics and Decision Making 2020 20:175

    Content type: Research article

    Published on:

  22. Research using linked routine population-based data collected for non-research purposes has increased in recent years because they are a rich and detailed source of information. The objective of this study is ...

    Authors: Daniela Almeida, David Gorender, Maria Yury Ichihara, Samila Sena, Luan Menezes, George C. G. Barbosa, Rosimeire L. Fiaccone, Enny S. Paixão, Robespierre Pita and Mauricio L. Barreto

    Citation: BMC Medical Informatics and Decision Making 2020 20:173

    Content type: Research article

    Published on:

  23. Shared decision-making improves the quality of patient care. Unfortunately, shared decision-making is not yet common practice among vascular surgeons. Thus, decision support tools were developed to assist vasc...

    Authors: S. M. L. de Mik, F. E. Stubenrouch, D. A. Legemate, R. Balm and D. T. Ubbink

    Citation: BMC Medical Informatics and Decision Making 2020 20:172

    Content type: Study protocol

    Published on:

  24. The exact risk of developing QTc-prolongation when using a combination of QTc-prolonging drugs is still unknown, making it difficult to interpret these QT drug-drug interactions (QT-DDIs). A tool to identify h...

    Authors: Florine A. Berger, Heleen van der Sijs, Matthijs L. Becker, Teun van Gelder and Patricia M. L. A. van den Bemt

    Citation: BMC Medical Informatics and Decision Making 2020 20:171

    Content type: Research article

    Published on:

  26. Parent-clinician shared decision making is the recommended model for the care of premature infants; thus, clinicians provide prenatal prematurity counseling to parents in the event of a mother’s hospitalizatio...

    Authors: Nicole M. Rau, Mir A. Basir and Kathryn E. Flynn

    Citation: BMC Medical Informatics and Decision Making 2020 20:169

    Content type: Research article

    Published on:

  28. “Artificial intelligence” (AI) is often referred to as “augmented human intelligence” (AHI). The latter term implies that computers support—rather than replace—human decision-making. It is unclear whether the ...

    Authors: Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore and Cheristi Cognetta-Rieke

    Citation: BMC Medical Informatics and Decision Making 2020 20:167

    Content type: Research article

    Published on:

  29. 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:

  30. Surgical resection of pheochromocytoma may lead to high risk factors for intraoperative hemodynamic instability (IHD), which can be life-threatening. This study aimed to investigate the risk factors that could...

    Authors: Yueyang Zhao, Li Fang, Lei Cui and Song Bai

    Citation: BMC Medical Informatics and Decision Making 2020 20:165

    Content type: Research article

    Published on:

  31. Worldwide the rate of unplanned pregnancies is more than 40%. Identifying women at risk of pregnancy can help prevent negative outcomes and also reduce healthcare costs of potential complications. It can also ...

    Authors: Lucía Cea Soriano, Alex Asiimwe, Mieke Van Hemelrijck, Cecilia Bosco and Luis A. García Rodríguez

    Citation: BMC Medical Informatics and Decision Making 2020 20:164

    Content type: Research article

    Published on:

  32. Unequivocal identification of patients is a precondition for a safe medical journey through different information systems (ISs) and software applications that are communicating and exchanging interoperable dat...

    Authors: Raffaella Vaccaroli, Frédéric Markus, Samuel Danhardt, Heiko Zimmermann, Francois Wisniewski, Pascale Lucas and Hervé Barge

    Citation: BMC Medical Informatics and Decision Making 2020 20:163

    Content type: Research article

    Published on:

  33. One of the most challenging tasks for bladder cancer diagnosis is to histologically differentiate two early stages, non-invasive Ta and superficially invasive T1, the latter of which is associated with a signi...

    Authors: Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto and Feng Cui

    Citation: BMC Medical Informatics and Decision Making 2020 20:162

    Content type: Research article

    Published on:

  34. Delay in identifying deterioration in hospitalised patients is associated with delayed admission to an intensive care unit (ICU) and poor outcomes. For the HAVEN project (HICF ref.: HICF-R9–524), we have devel...

    Authors: Simarjot S. Dahella, James S. Briggs, Paul Coombes, Nazli Farajidavar, Paul Meredith, Timothy Bonnici, Julie L. Darbyshire and Peter J. Watkinson

    Citation: BMC Medical Informatics and Decision Making 2020 20:161

    Content type: Research article

    Published on:

  35. The healthcare sector is an interesting target for fraudsters. The availability of a great amount of data makes it possible to tackle this issue with the adoption of data mining techniques, making the auditing...

    Authors: Michela Carlotta Massi, Francesca Ieva and Emanuele Lettieri

    Citation: BMC Medical Informatics and Decision Making 2020 20:160

    Content type: Technical advance

    Published on:

  36. The electronic patient record (EPR) has been introduced into nursing homes in order to facilitate documentation practices such as assessment and care planning, which play an integral role in the provision of d...

    Authors: Kate Shiells, Angie Alejandra Diaz Baquero, Olga Štěpánková and Iva Holmerová

    Citation: BMC Medical Informatics and Decision Making 2020 20:159

    Content type: Research article

    Published on:

  37. Particularly in the context of severe diseases like cancer, many patients wish to include caregivers in the planning of treatment and care. Many caregivers like to be involved but feel insufficiently enabled. ...

    Authors: Aline Weis, Sabrina Pohlmann, Regina Poss-Doering, Beate Strauss, Charlotte Ullrich, Helene Hofmann, Dominik Ose, Eva C. Winkler, Joachim Szecsenyi and Michel Wensing

    Citation: BMC Medical Informatics and Decision Making 2020 20:158

    Content type: Research article

    Published on:

  38. The promises of improved health care and health research through data-intensive applications rely on a growing amount of health data. At the core of large-scale data integration efforts, clinical data warehous...

    Authors: Elena Pavlenko, Daniel Strech and Holger Langhof

    Citation: BMC Medical Informatics and Decision Making 2020 20:157

    Content type: Research article

    Published on:

  39. Despite the numerous healthcare smartphone applications for self-management of diabetes, patients often fail to use these applications consistently due to various limitations, including difficulty in inputting...

    Authors: Sung Woon Park, Gyuri Kim, You-Cheol Hwang, Woo Je Lee, Hyunjin Park and Jae Hyeon Kim

    Citation: BMC Medical Informatics and Decision Making 2020 20:156

    Content type: Study protocol

    Published on:

  40. 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

  41. Circular RNAs (circRNAs) are those RNA molecules that lack the poly (A) tails, which present the closed-loop structure. Recent studies emphasized that some circRNAs imply different functions from canonical tra...

    Authors: Yidan Wang, Xuanping Zhang, Tao Wang, Jinchun Xing, Zhun Wu, Wei Li and Jiayin Wang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):137

    Content type: Research

    Published on:

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

  42. Bladder cancer (BC) is regarded as one of the most fatal cancer around the world. Nevertheless, there still lack of sufficient markers to predict the prognosis of BC patients. Herein, we aim to establish a pro...

    Authors: Xiaolong Zhang, Meng Zhang, Xuanping Zhang, Xiaoyan Zhu and Jiayin Wang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):136

    Content type: Research

    Published on:

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

  43. It is of utmost importance to investigate novel therapies for cancer, as it is a major cause of death. In recent years, immunotherapies, especially those against immune checkpoints, have been developed and bro...

    Authors: Yuyu Zheng, Xiangyu Meng, Pierre Zweigenbaum, Lingling Chen and Jingbo Xia

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):133

    Content type: Research

    Published on:

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

  44. 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

  45. The social Q&A community quickly becomes a popular platform for consumers to find health information because of its convenience and interactivity.

    Authors: Wang Zhao, Peixin Lu, Siwei Yu and Long Lu

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):130

    Content type: Research

    Published on:

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

  46. With the rapid development of sequencing technologies, collecting diverse types of cancer omics data become more cost-effective. Many computational methods attempted to represent and fuse multiple omics into a...

    Authors: Kaiwen Tan, Weixian Huang, Jinlong Hu and Shoubin Dong

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):129

    Content type: Research

    Published on:

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

  47. To provide satisfying answers, medical QA system has to understand the intentions of the users’ questions precisely. For medical intent classification, it requires high-quality datasets to train a deep-learnin...

    Authors: Nan Chen, Xiangdong Su, Tongyang Liu, Qizhi Hao and Ming Wei

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):125

    Content type: Research

    Published on:

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

  48. Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in healthcare domains. Recent years have seen a great progress of applying RL in addressing decis...

    Authors: Chao Yu, Guoqi Ren and Yinzhao Dong

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):124

    Content type: Research

    Published on:

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

  49. Deep learning based on segmentation models have been gradually applied in biomedical images and achieved state-of-the-art performance for 3D biomedical segmentation. However, most of existing biomedical segmen...

    Authors: Xibin Jia, Yunfeng Liu, Zhenghan Yang and Dawei Yang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):119

    Content type: Research

    Published on:

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

  50. A semi-supervised model is proposed for extracting clinical terms of Traditional Chinese Medicine using feature words.

    Authors: Liangliang Liu, Xiaojing Wu, Hui Liu, Xinyu Cao, Haitao Wang, Hongwei Zhou and Qi Xie

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):118

    Content type: Research

    Published on:

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

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