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  1. Adverse drug reactions (ADRs) are statistically characterized within randomized clinical trials and postmarketing pharmacovigilance, but their molecular mechanism remains unknown in most cases. This is true ev...

    Authors: Emmanuel Bresso, Pierre Monnin, Cédric Bousquet, François-Elie Calvier, Ndeye-Coumba Ndiaye, Nadine Petitpain, Malika Smaïl-Tabbone and Adrien Coulet

    Citation: BMC Medical Informatics and Decision Making 2021 21:171

    Content type: Research article

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  2. Coronavirus disease 2019 (COVID-19) has become a pandemic since its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day and early diagnosis has become crucial. Since curren...

    Authors: Mehmet Akif Ozdemir, Gizem Dilara Ozdemir and Onan Guren

    Citation: BMC Medical Informatics and Decision Making 2021 21:170

    Content type: Research

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  3. Evidence to Decision (EtD) frameworks bring clarity, structure and transparency to health care decision making. The interactive Evidence to Decision (iEtD) tool, developed in the context of the DECIDE project ...

    Authors: Jose Francisco Meneses-Echavez, Sarah Rosenbaum, Gabriel Rada, Signe Flottorp, Jenny Moberg and Pablo Alonso-Coello

    Citation: BMC Medical Informatics and Decision Making 2021 21:169

    Content type: Research

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:209

  4. Assessing the accuracy of diagnostic coding is essential to ensure the validity and reliability of administrative coded data. The aim of the study was to evaluate the accuracy of assigned International Classif...

    Authors: Nasir Wabe, Ling Li, Robert Lindeman, Jeffrey J. Post, Maria R. Dahm, Julie Li, Johanna I. Westbrook and Andrew Georgiou

    Citation: BMC Medical Informatics and Decision Making 2021 21:168

    Content type: Research article

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  5. Interventional studies are the fundamental method for obtaining answers to clinical questions. However, these studies are sometimes difficult to conduct because of insufficient financial or human resources or ...

    Authors: Yumi Wakabayashi, Masamitsu Eitoku and Narufumi Suganuma

    Citation: BMC Medical Informatics and Decision Making 2021 21:167

    Content type: Research article

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  6. The demand for home healthcare devices arises; however, many home healthcare devices on the market are not designed to reflect the needs and features of the end-users. This study explored the user knowledge fa...

    Authors: Fan Yang, Abdullah Al Mahmud and Tao Wang

    Citation: BMC Medical Informatics and Decision Making 2021 21:166

    Content type: Research article

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  7. Several epidemiological and cohort studies suggest that regular low-dose aspirin use independently reduces the long-term incidence and risk of colorectal cancer deaths by approximately 20%. However, there are ...

    Authors: Lenira Semedo, Kate J. Lifford, Adrian Edwards, Kathy Seddon, Kate Brain, Stephanie Smits and Sunil Dolwani

    Citation: BMC Medical Informatics and Decision Making 2021 21:165

    Content type: Research article

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  8. Robust identification of surrogate endpoints can help accelerate the development of pharmacotherapies for diseases traditionally evaluated using true endpoints associated with prolonged follow-up. The meta-ana...

    Authors: Milan Geybels, Benjamin Ole Wolthers, Frederik Flindt Kreiner, Søren Rasmussen and Robert Bauer

    Citation: BMC Medical Informatics and Decision Making 2021 21:164

    Content type: Technical advance

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  9. Sepsis is a severe illness that affects millions of people worldwide, and its early detection is critical for effective treatment outcomes. In recent years, researchers have used models to classify positive pa...

    Authors: Márcio Freire Cruz, Naoaki Ono, Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya and Carlos Arthur Mattos Teixeira Cavalcante

    Citation: BMC Medical Informatics and Decision Making 2021 21:163

    Content type: Research

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  10. Heterogeneity among patients’ responses to treatment is prevalent in psychiatric disorders. Personalized medicine approaches—which involve parsing patients into subgroups better indicated for a particular trea...

    Authors: Monika S. Mellem, Matt Kollada, Jane Tiller and Thomas Lauritzen

    Citation: BMC Medical Informatics and Decision Making 2021 21:162

    Content type: Research article

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  11. Current management of children with minor head trauma (MHT) and intracranial injuries is not evidence-based and may place some children at risk of harm. Evidence-based electronic clinical decision support (CDS...

    Authors: Jacob K. Greenberg, Ayodamola Otun, Azzah Nasraddin, Ross C. Brownson, Nathan Kuppermann, David D. Limbrick, Po-Yin Yen and Randi E. Foraker

    Citation: BMC Medical Informatics and Decision Making 2021 21:161

    Content type: Research article

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  12. The variety of medical documentation often leads to incompatible data elements that impede data integration between institutions. A common approach to standardize and distribute metadata definitions are ISO/IE...

    Authors: Stefan Hegselmann, Michael Storck, Sophia Gessner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Cornelia Mertens, Sarah Riepenhausen, Sonja Baier, Benedikt Stöcker, Jörg Henke, Carsten Oliver Schmidt and Martin Dugas

    Citation: BMC Medical Informatics and Decision Making 2021 21:160

    Content type: Research article

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  13. Adverse drug reactions (ADRs) are regarded as a major cause of death and a major contributor to public health costs. For the active surveillance of drug safety, the use of real-world data and real-world eviden...

    Authors: Hyunah Shin and Suehyun Lee

    Citation: BMC Medical Informatics and Decision Making 2021 21:159

    Content type: Research article

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  14. Malaria is a major cause of death in children under five years old in low- and middle-income countries such as Malawi. Accurate diagnosis and management of malaria can help reduce the global burden of childhoo...

    Authors: Sanya B. Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel and Shyam Visweswaran

    Citation: BMC Medical Informatics and Decision Making 2021 21:158

    Content type: Research article

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  15. Patient satisfaction is a multi-dimensional concept that provides insights into various quality aspects in healthcare. Although earlier studies identified a range of patient and provider-related determinants, ...

    Authors: Mecit Can Emre Simsekler, Noura Hamed Alhashmi, Elie Azar, Nelson King, Rana Adel Mahmoud Ali Luqman and Abdalla Al Mulla

    Citation: BMC Medical Informatics and Decision Making 2021 21:157

    Content type: Research article

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  16. Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called “weights” or “subscores”) into a final...

    Authors: Yasser EL-Manzalawy, Mostafa Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall and Brandon K. Fornwalt

    Citation: BMC Medical Informatics and Decision Making 2021 21:156

    Content type: Research article

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  17. Injuries are a major health issue worldwide and their prevention requires access to accurate statistics in this regard. This can be achieved by classifying the collected data using the international classifica...

    Authors: Leila Ahmadian, Fatemeh Salehi and Shabnam Padidar

    Citation: BMC Medical Informatics and Decision Making 2021 21:155

    Content type: Research article

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  18. While many studies have tested the impact of a decision aid (DA) compared to not receiving any DA, far fewer have tested how different types of DAs affect key outcomes such as treatment choice, patient–provide...

    Authors: Angela Fagerlin, Margaret Holmes-Rovner, Timothy P. Hofer, David Rovner, Stewart C. Alexander, Sara J. Knight, Bruce S. Ling, James A.Tulsky, John T. Wei, Khaled Hafez, Valerie C. Kahn, Daniel Connochie, Jeffery Gingrich and Peter A. Ubel

    Citation: BMC Medical Informatics and Decision Making 2021 21:154

    Content type: Research article

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  19. Adherence and motivation are key factors for successful treatment of patients with chronic diseases, especially in long-term care processes like rehabilitation. However, only a few patients achieve good treatm...

    Authors: Bianca Steiner, Birgit Saalfeld, Lena Elgert, Reinhold Haux and Klaus-Hendrik Wolf

    Citation: BMC Medical Informatics and Decision Making 2021 21:153

    Content type: Research

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  20. Mechanical Ventilation (MV) is a complex and central treatment process in the care of critically ill patients. It influences acid–base balance and can also cause prognostically relevant biotrauma by generating...

    Authors: Behrooz Mamandipoor, Fernando Frutos-Vivar, Oscar Peñuelas, Richard Rezar, Konstantinos Raymondos, Alfonso Muriel, Bin Du, Arnaud W. Thille, Fernando Ríos, Marco González, Lorenzo del-Sorbo, Maria del Carmen Marín, Bruno Valle Pinheiro, Marco Antonio Soares, Nicolas Nin, Salvatore M. Maggiore…

    Citation: BMC Medical Informatics and Decision Making 2021 21:152

    Content type: Research article

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  21. Despite the proven value of multicriteria decision analysis in the health field, there is a lack of studies focused on prioritising victims in the Emergency Medical Service, EMS. With this, and knowing that th...

    Authors: Talita D. C. Frazão, Ana F. A. dos Santos, Deyse G. G. Camilo, João Florêncio da Costa Júnior and Ricardo P. de Souza

    Citation: BMC Medical Informatics and Decision Making 2021 21:151

    Content type: Research article

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  22. Older adults and elderly persons can experience a significant digital divide. However, there are many studies reporting that the use of the Internet has benefits related to a person’s health status and social ...

    Authors: Mariusz Duplaga

    Citation: BMC Medical Informatics and Decision Making 2021 21:150

    Content type: Research article

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  23. Transjugular intrahepatic portosystemic shunt (TIPS) procedure is an established procedure carried out by interventional radiologists to achieve portal decompression and to manage the complications of portal h...

    Authors: Sean-Tee J. M. Lim, Martin Kelly, Logeswaran Selvarajah, Michael Murray and Timothy Scanlon

    Citation: BMC Medical Informatics and Decision Making 2021 21:149

    Content type: Research

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  24. In 2017, the Centers for Medicare and Medicaid Services required all long-term care facilities, including nursing homes, to have an antibiotic stewardship program. Many nursing homes lack the resources, expert...

    Authors: Sunah Song, Brigid M. Wilson, Joseph Marek and Robin L. P. Jump

    Citation: BMC Medical Informatics and Decision Making 2021 21:148

    Content type: Technical advance

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  25. Tongue diagnosis is an important research field of TCM diagnostic technology modernization. The quality of tongue images is the basis for constructing a standard dataset in the field of tongue diagnosis. To es...

    Authors: Tao Jiang, Xiao-juan Hu, Xing-hua Yao, Li-ping Tu, Jing-bin Huang, Xu-xiang Ma, Ji Cui, Qing-feng Wu and Jia-tuo Xu

    Citation: BMC Medical Informatics and Decision Making 2021 21:147

    Content type: Research article

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  26. Knowledge management technology is a key tool for facilitating and improving the quality of health care delivery in hospitals. However, the use and implementation of this technology is not an easy task. This s...

    Authors: Mniyichel Belay, Amare Desta, Steve Smithson and Million Meshesha

    Citation: BMC Medical Informatics and Decision Making 2021 21:146

    Content type: Research

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  27. Controlled vocabularies are fundamental resources for information extraction from clinical texts using natural language processing (NLP). Standard language resources available in the healthcare domain such as ...

    Authors: Pilar López-Úbeda, Alexandra Pomares-Quimbaya, Manuel Carlos Díaz-Galiano and Stefan Schulz

    Citation: BMC Medical Informatics and Decision Making 2021 21:145

    Content type: Research

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  28. In high-dimensional data analysis, the complexity of predictive models can be reduced by selecting the most relevant features, which is crucial to reduce data noise and increase model accuracy and interpretabi...

    Authors: Pierre Michel, Nicolas Ngo, Jean-François Pons, Stéphane Delliaux and Roch Giorgi

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 4):130

    Content type: Research

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    This article is part of a Supplement: Volume 21 Supplement 4

  29. Network meta-analysis (NMA) has been widely used in the field of medicine and health, but the research topics and development trends are still unclear. This study aimed to identify the cooperation of countries...

    Authors: Jiyuan Shi, Ya Gao, Liu Ming, Kelu Yang, Yue Sun, Ji Chen, Shuzhen Shi, Jie Geng, Lun Li, Jiarui Wu and Jinhui Tian

    Citation: BMC Medical Informatics and Decision Making 2021 21:144

    Content type: Research article

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  30. Protein–protein interactions (PPIs) are the core of protein function, which provide an effective means to understand the function at cell level. Identification of PPIs is the crucial foundation of predicting d...

    Authors: Xiaoli Lin and Xiaolong Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):143

    Content type: Research

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    This article is part of a Supplement: Volume 21 Supplement 1

  31. In many cases, both the rupture rate of cerebral arteriovenous malformation (bAVM) in patients and the risk of endovascular or surgical treatment (when radiosurgery is not appropriate) are not low, it is impor...

    Authors: Wengui Tao, Langchao Yan, Ming Zeng and Fenghua Chen

    Citation: BMC Medical Informatics and Decision Making 2021 21:142

    Content type: Research

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  32. Dengue fever is a widespread viral disease and one of the world’s major pandemic vector-borne infections, causing serious hazard to humanity. The World Health Organisation (WHO) reported that the incidence of ...

    Authors: Felestin Yavari Nejad and Kasturi Dewi Varathan

    Citation: BMC Medical Informatics and Decision Making 2021 21:141

    Content type: Research article

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  33. Healthcare providers need training to implement shared decision making (SDM). In Norway, we developed “Ready for SDM”, a comprehensive SDM curriculum tailored to various healthcare providers, settings, and com...

    Authors: Simone Kienlin, Marie-Eve Poitras, Dawn Stacey, Kari Nytrøen and Jürgen Kasper

    Citation: BMC Medical Informatics and Decision Making 2021 21:140

    Content type: Research article

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  34. Robust, flexible, and integrated health information (HIS) systems are essential to achieving national and international goals in health and development. Such systems are still uncommon in most low and middle i...

    Authors: Alpha Nsaghurwe, Vikas Dwivedi, Walter Ndesanjo, Haji Bamsi, Moses Busiga, Edwin Nyella, Japhet Victor Massawe, Dasha Smith, Kate Onyejekwe, Jonathan Metzger and Patricia Taylor

    Citation: BMC Medical Informatics and Decision Making 2021 21:139

    Content type: Technical advance

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  35. This paper describes a model for estimating COVID-19 related excess deaths that are a direct consequence of insufficient hospital ward bed and intensive care unit (ICU) capacity.

    Authors: Christopher Martin, Stuart McDonald, Steve Bale, Michiel Luteijn and Rahul Sarkar

    Citation: BMC Medical Informatics and Decision Making 2021 21:138

    Content type: Research

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  36. The uptake of complex clinical decision support systems (CDSS) in daily practice remains low, despite the proven potential to reduce medical errors and to improve the quality of care. To improve successful imp...

    Authors: Stephanie Jansen-Kosterink, Lex van Velsen and Miriam Cabrita

    Citation: BMC Medical Informatics and Decision Making 2021 21:137

    Content type: Research

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  37. A range of factors can reduce the effectiveness of treatment prescribed for the long-term management of chronic health conditions, such as growth disorders. In particular, prescription medications may not achi...

    Authors: Nea Boman, Luis Fernandez-Luque, Ekaterina Koledova, Marketta Kause and Risto Lapatto

    Citation: BMC Medical Informatics and Decision Making 2021 21:136

    Content type: Research article

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  38. Despite the increasing number of mobile health applications, the validity of their content is understudied. The objective of this study was to rate the content of HIV/AIDS-related mobile applications and to de...

    Authors: Ahmad Raeesi, Reza Khajouei and Leila Ahmadian

    Citation: BMC Medical Informatics and Decision Making 2021 21:135

    Content type: Research

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  39. Deep learning algorithms significantly improve the accuracy of pathological image classification, but the accuracy of breast cancer classification using only single-mode pathological images still cannot meet t...

    Authors: Rui Yan, Fa Zhang, Xiaosong Rao, Zhilong Lv, Jintao Li, Lingling Zhang, Shuang Liang, Yilin Li, Fei Ren, Chunhou Zheng and Jun Liang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):134

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 21 Supplement 1

  40. MicroRNAs (miRNAs) have been confirmed to have close relationship with various human complex diseases. The identification of disease-related miRNAs provides great insights into the underlying pathogenesis of d...

    Authors: Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni and Chun-Hou Zheng

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):133

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 21 Supplement 1

  41. Previous studies showed that transitional care reduces the complication rate and readmission rate and improves the quality of life in kidney transplant receipts, nevertheless, in fact there are no standard eva...

    Authors: Xinyi Zhou, Ping Ding, Qiaolan Yang, Ping Wang, Haimei Zhou, Jing Fu and Dongrui Miao

    Citation: BMC Medical Informatics and Decision Making 2021 21:132

    Content type: Research

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  42. Prediction of neonatal deaths in NICUs is important for benchmarking and evaluating healthcare services in NICUs. Application of machine learning techniques can improve physicians’ ability to predict the neona...

    Authors: Abbas Sheikhtaheri, Mohammad Reza Zarkesh, Raheleh Moradi and Farzaneh Kermani

    Citation: BMC Medical Informatics and Decision Making 2021 21:131

    Content type: Research

    Published on:

  43. Semantic categorization analysis of clinical trials eligibility criteria based on natural language processing technology is crucial for the task of optimizing clinical trials design and building automated pati...

    Authors: Hui Zong, Jinxuan Yang, Zeyu Zhang, Zuofeng Li and Xiaoyan Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:128

    Content type: Research article

    Published on:

  44. To explore an effective algorithm based on artificial neural network to pick correctly the minority of pregnant women with SLE suffering fetal loss outcomes from the majority with live birth and train a well b...

    Authors: Jing-Hang Ma, Zhen Feng, Jia-Yue Wu, Yu Zhang and Wen Di

    Citation: BMC Medical Informatics and Decision Making 2021 21:127

    Content type: Research article

    Published on:

  45. Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, ...

    Authors: Silvana Secinaro, Davide Calandra, Aurelio Secinaro, Vivek Muthurangu and Paolo Biancone

    Citation: BMC Medical Informatics and Decision Making 2021 21:125

    Content type: Research article

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  46. Since decision making about treatment with disease-modifying drugs (DMDs) for multiple sclerosis (MS) is preference sensitive, shared decision making between patient and healthcare professional should take pla...

    Authors: I. E. H. Kremer, P. J. Jongen, S. M. A. A. Evers, E. L. J. Hoogervorst, W. I. M. Verhagen and M. Hiligsmann

    Citation: BMC Medical Informatics and Decision Making 2021 21:123

    Content type: Research article

    Published on:

  47. Sepsis is a highly lethal and heterogeneous disease. Utilization of an unsupervised method may identify novel clinical phenotypes that lead to targeted therapies and improved care.

    Authors: Menghan Ding and Yuan Luo

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 5):95

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 21 Supplement 5

  48. The motion capture has been used as the usual method for measuring movement parameters of human, and most of the measuring data are obtained by partial manual process based on commercial software. An automatic...

    Authors: Jian-ping Wang, Shi-hua Wang, Yan-qing Wang, Hai Hu, Jin-wei Yu, Xuan Zhao, Jin-lai Liu, Xu Chen and Yu Li

    Citation: BMC Medical Informatics and Decision Making 2021 21:121

    Content type: Research article

    Published on:

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