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  1. Kidney disease progression rates vary among patients. Rapid and accurate prediction of kidney disease outcomes is crucial for disease management. In recent years, various prediction models using Machine Learni...

    Authors: Nuo Lei, Xianlong Zhang, Mengting Wei, Beini Lao, Xueyi Xu, Min Zhang, Huifen Chen, Yanmin Xu, Bingqing Xia, Dingjun Zhang, Chendi Dong, Lizhe Fu, Fang Tang and Yifan Wu
    Citation: BMC Medical Informatics and Decision Making 2022 22:205
  2. NHS Digital issued new guidance on sepsis coding in April 2017 which was further modified in April 2018. During these timeframes some centres reported increased sepsis associated mortality, whilst others repor...

    Authors: Catherine Atkin, Tanya Pankhurst, David McNulty, Ann Keogh, Suzy Gallier, Domenico Pagano, Elizabeth Sapey and Simon Ball
    Citation: BMC Medical Informatics and Decision Making 2022 22:204
  3. Traumatic Brain Injury (TBI) is a common condition with potentially severe long-term complications, the prediction of which remains challenging. Machine learning (ML) methods have been used previously to help ...

    Authors: Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak and Kayvan Najarian
    Citation: BMC Medical Informatics and Decision Making 2022 22:203
  4. Women’s mobile health (m-health) applications are currently widely used for health education, medication, prevention of illness, etcetera. However, women are extremely sensitive to their design. While the numb...

    Authors: Chalermpon Kongjit, Acrapol Nimmolrat and Achara Khamaksorn
    Citation: BMC Medical Informatics and Decision Making 2022 22:202
  5. Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical knowledge graph, decision-making support, and question answering system...

    Authors: Shuli Guo, Wentao Yang, Lina Han, Xiaowei Song and Guowei Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:201
  6. Given the increasing number of people suffering from tinnitus, the accurate categorization of patients with actionable reports is attractive in assisting clinical decision making. However, this process require...

    Authors: Jia Li, Yucong Lin, Pengfei Zhao, Wenjuan Liu, Linkun Cai, Jing Sun, Lei Zhao, Zhenghan Yang, Hong Song, Han Lv and Zhenchang Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:200
  7. Pharmacists are frequent users of mobile medical apps (MMA) for drug information (DI) and clinical decision-making purposes. However, the wide range of available MMA may be of variable credibility and results ...

    Authors: Boon Phiaw Kho, Sheng Ming Andy Wong, Jin Wei Timothy Chiu and Eon Liew
    Citation: BMC Medical Informatics and Decision Making 2022 22:199
  8. Clinical phenotype information greatly facilitates genetic diagnostic interpretations pipelines in disease. While post-hoc extraction using natural language processing on unstructured clinical notes continues ...

    Authors: James M. Havrilla, Anbumalar Singaravelu, Dennis M. Driscoll, Leonard Minkovsky, Ingo Helbig, Livija Medne, Kai Wang, Ian Krantz and Bimal R. Desai
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):198

    This article is part of a Supplement: Volume 22 Supplement 2

  9. 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
  10. Heart failure is a clinical syndrome characterised by a reduced ability of the heart to pump blood. Patients with heart failure have a high mortality rate, and physicians need reliable prognostic predictions t...

    Authors: Casper Wilstrup and Chris Cave
    Citation: BMC Medical Informatics and Decision Making 2022 22:196
  11. Breast cancer-related lymphedema is one of the most important complications that adversely affect patients' quality of life. Lymphedema can be managed if its risk factors are known and can be modified. This st...

    Authors: Anaram Yaghoobi Notash, Aidin Yaghoobi Notash, Zahra Omidi and Shahpar Haghighat
    Citation: BMC Medical Informatics and Decision Making 2022 22:195
  12. Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet been used for COVID-19 prediction. We deve...

    Authors: M. Pishgar, S. Harford, J. Theis, W. Galanter, J. M. Rodríguez-Fernández, L. H Chaisson, Y. Zhang, A. Trotter, K. M. Kochendorfer, A. Boppana and H. Darabi
    Citation: BMC Medical Informatics and Decision Making 2022 22:194
  13. With the rapid development of online health communities (OHCs), an increasing number of physicians provide services in OHCs that enable patients to consult online in China. However, it is difficult for patient...

    Authors: Zhengwei Huang, Chen Duan, Yanni Yang and Ribesh Khanal
    Citation: BMC Medical Informatics and Decision Making 2022 22:193
  14. Due to the high mortality of COVID-19 patients, the use of a high-precision classification model of patient’s mortality that is also interpretable, could help reduce mortality and take appropriate action urgen...

    Authors: Samad Moslehi, Niloofar Rabiei, Ali Reza Soltanian and Mojgan Mamani
    Citation: BMC Medical Informatics and Decision Making 2022 22:192
  15. Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population. When searchin...

    Authors: Jahir Uddin Palas, Golam Sorwar, Md Rakibul Hoque and Achchuthan Sivabalan
    Citation: BMC Medical Informatics and Decision Making 2022 22:191
  16. Patient subgroups are important for easily understanding a disease and for providing precise yet personalized treatment through multiple omics dataset integration. Multiomics datasets are produced daily. Thus,...

    Authors: Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang and Hongmin Cai
    Citation: BMC Medical Informatics and Decision Making 2022 22:190
  17. With the help of digital tools patients’ medical histories can be collected quickly and transferred into their electronic medical records. This information can facilitate treatment planning, reduce documentati...

    Authors: Klara Albrink, Carla Joos, Dominik Schröder, Frank Müller, Eva Hummers and Eva Maria Noack
    Citation: BMC Medical Informatics and Decision Making 2022 22:189
  18. Authors: Vanesa Ramos-García, Lilisbeth Perestelo-Pérez, Amado Rivero-Santana, Wenceslao Peñate-Castro, Andrea Duarte-Díaz, Yolanda Álvarez-Pérez, María del Mar Trujillo-Martín, María Isabel del Cura-González and Pedro Serrano-Aguilar
    Citation: BMC Medical Informatics and Decision Making 2022 22:188

    The original article was published in BMC Medical Informatics and Decision Making 2022 22:171

  19. COVID-19 caused more than 622 thousand deaths in Brazil. The infection can be asymptomatic and cause mild symptoms, but it also can evolve into a severe disease and lead to death. It is difficult to predict wh...

    Authors: Davi Silva Rodrigues, Ana Catharina S. Nastri, Marcello M. Magri, Maura Salaroli de Oliveira, Ester C. Sabino, Pedro H. M. F. Figueiredo, Anna S. Levin, Maristela P. Freire, Leila S. Harima, Fátima L. S. Nunes and João Eduardo Ferreira
    Citation: BMC Medical Informatics and Decision Making 2022 22:187
  20. Agile projects are statistically more likely to succeed then waterfall projects. The overall aim of this study was to explore the nursing staffs’ experiences with an agile development process, from its initial re...

    Authors: Sofi Nordmark, Inger Lindberg and Karin Zingmark
    Citation: BMC Medical Informatics and Decision Making 2022 22:186
  21. There is increasing interest in incorporating clinical decision support (CDS) into electronic healthcare records (EHR). Successful implementation of CDS systems depends on acceptance of them by healthcare work...

    Authors: Wim Van Biesen, Daan Van Cauwenberge, Johan Decruyenaere, Tamara Leune and Sigrid Sterckx
    Citation: BMC Medical Informatics and Decision Making 2022 22:185
  22. Data collected during routine health care and ensuing analytical results bear the potential to provide valuable information to improve the overall health care of patients. However, little is known about how pa...

    Authors: Sybille Roschka, Torsten Leddig, Mandy Bullerjahn, Gesine Richter, Wenke Liedtke, Martin Langanke and Wolfgang Hoffmann
    Citation: BMC Medical Informatics and Decision Making 2022 22:184
  23. Evaluating patients’ experiences is essential when incorporating the patients’ perspective in improving healthcare. Experiences are mainly collected using closed-ended questions, although the value of open-end...

    Authors: Marieke M. van Buchem, Olaf M. Neve, Ilse M. J. Kant, Ewout W. Steyerberg, Hileen Boosman and Erik F. Hensen
    Citation: BMC Medical Informatics and Decision Making 2022 22:183
  24. The application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerge...

    Authors: Wona Choi, Se-Hyun Chang, Yoon-Sik Yang, Surin Jung, Seo-Joon Lee, Ji-Won Chun, Dai-Jin Kim, Woonjeong Lee and In Young Choi
    Citation: BMC Medical Informatics and Decision Making 2022 22:182
  25. Predicting treatment outcome in major depressive disorder (MDD) remains an essential challenge for precision psychiatry. Clinical prediction models (CPMs) based on supervised machine learning have been a promi...

    Authors: Nicolas Rost, Tanja M. Brückl, Nikolaos Koutsouleris, Elisabeth B. Binder and Bertram Müller-Myhsok
    Citation: BMC Medical Informatics and Decision Making 2022 22:181
  26. Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the ...

    Authors: Mohsen Shafiee, Mohammad Mahboubi, Mostafa Shanbehzadeh and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2022 22:180
  27. Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effect...

    Authors: Esha Singh, Anu Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 1):153

    This article is part of a Supplement: Volume 22 Supplement 1

  28. Since no effective therapies exist for Alzheimer’s disease (AD), prevention has become more critical through lifestyle status changes and interventions. Analyzing electronic health records (EHRs) of patients w...

    Authors: Zitao Shen, Dalton Schutte, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 1):88

    This article is part of a Supplement: Volume 22 Supplement 1

  29. Our aim was to develop a machine learning model, using real-world data captured from a connected auto-injector device and from early indicators from the first 3 months of treatment, to predict sub-optimal adhe...

    Authors: Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni and Ekaterina Koledova
    Citation: BMC Medical Informatics and Decision Making 2022 22:179
  30. The emergency department has been a major focus for the implementation of Australia’s national electronic health record, known as My Health Record. However, the association between use of My Health Record in t...

    Authors: Alexandra Mullins, Renee O’Donnell, Heather Morris, Michael Ben-Meir, Kostas Hatzikiriakidis, Lisa Brichko and Helen Skouteris
    Citation: BMC Medical Informatics and Decision Making 2022 22:178
  31. To support appropriate prescribing hospital-wide, the ‘Check of Medication Appropriateness’ (CMA) service was implemented at the University Hospitals Leuven. The CMA concerns a clinical rule based and pharmaci...

    Authors: Charlotte Quintens, Willy E. Peetermans, Lorenz Van der Linden, Peter Declercq, Bart Van den Bosch and Isabel Spriet
    Citation: BMC Medical Informatics and Decision Making 2022 22:177
  32. Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver ca...

    Authors: Chen Chen, Cheng Chen, Mingrui Ma, Xiaojian Ma, Xiaoyi Lv, Xiaogang Dong, Ziwei Yan, Min Zhu and Jiajia Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:176
  33. Insightful feedback generation for daily home-based stroke rehabilitation is currently unavailable due to the inefficiency of exercise inspection done by therapists. We aim to produce a compact anomaly represe...

    Authors: Prayook Jatesiktat, Guan Ming Lim, Christopher Wee Keong Kuah, Dollaporn Anopas and Wei Tech Ang
    Citation: BMC Medical Informatics and Decision Making 2022 22:175
  34. People live a long time in pre-diabetes/early diabetes without a formal diagnosis or management. Heterogeneity of progression coupled with deficiencies in electronic health records related to incomplete data, ...

    Authors: Xiaoxia Wang, Yifei Lin, Yun Xiong, Suhua Zhang, Yanming He, Yuqing He, Zhikun Zhang, Joseph M. Plasek, Li Zhou, David W. Bates and Chunlei Tang
    Citation: BMC Medical Informatics and Decision Making 2022 22:174
  35. Gestational Trophoblastic Disease (GTD) comprises pathological forms of placental trophoblastic tissue proliferation. When benign, they present with hydatidiform moles, and when malignant, they are called Gest...

    Authors: Jaqueline Martins, Paulo Bandiera-Paiva, Antonio Rodrigues Braga Neto, Lucas Ribeiro Borges de Carvalho, Lúcio Padrini-Andrade, Vitor Tonini Machado, Antônio Carlos da Silva Junior and Sue Yazaki Sun
    Citation: BMC Medical Informatics and Decision Making 2022 22:173
  36. Traditional medicine (TM) is practiced in various forms in over 180 countries. Despite this, health information systems on TM are limited. Consistent with this, the World Health Organization’s (WHO) internatio...

    Authors: Bill Reddy and Arthur Yin Fan
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):381

    This article is part of a Supplement: Volume 21 Supplement 6

  37. The review of pharmacotherapy can be conceptualized as a service in which the drugs used by the patient are reviewed to control the risks as well as to improve the results of the drug therapy, detecting, solvi...

    Authors: Clávison Martinelli Zapelini, Dayani Galato, Graziela Modolon Alano, Karina Saviatto de Carvalho Martins, Silvana Cristina Trauthman, Alessandra Soares, Fabiana Schuelter-Trevisol and Daisson José Trevisol
    Citation: BMC Medical Informatics and Decision Making 2022 22:172
  38. Generalized anxiety disorder (GAD) is one of the most prevalent mental health problems. Patients with GAD have unmet needs related to the information received about their disorder, its treatments and their par...

    Authors: Vanesa Ramos-García, Lilisbeth Perestelo-Pérez, Amado Rivero-Santana, Wenceslao Peñate-Castro, Andrea Duarte-Díaz, Yolanda Álvarez-Pérez, María del Mar Trujillo-Martín, María Isabel del Cura-González and Pedro Serrano-Aguilar
    Citation: BMC Medical Informatics and Decision Making 2022 22:171

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:188

  39. Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled ...

    Authors: Chunming Yang, Dan Xiao, Yuanyuan Luo, Bo Li, Xujian Zhao and Hui Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:169
  40. Continues positive airway pressure (CPAP) therapy is a gold standard treatment for moderate to severe cases of OSA (obstructive sleep apnea). The present research aimed to describe the analysis, design, and ev...

    Authors: Shokoufeh Aalaei, Mahnaz Amini, Mohammad Reza Mazaheri Habibi, Hadi Shahraki and Saeid Eslami
    Citation: BMC Medical Informatics and Decision Making 2022 22:168
  41. A disease severity classification system is widely used to predict the survival of patients admitted to the intensive care unit with different diagnoses. In the present study, conventional severity classificat...

    Authors: Farzad Mirzakhani, Farahnaz Sadoughi, Mahboobeh Hatami and Alireza Amirabadizadeh
    Citation: BMC Medical Informatics and Decision Making 2022 22:167
  42. Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was...

    Authors: Jani Paulin, Akseli Reunamo, Jouni Kurola, Hans Moen, Sanna Salanterä, Heikki Riihimäki, Tero Vesanen, Mari Koivisto and Timo Iirola
    Citation: BMC Medical Informatics and Decision Making 2022 22:166
  43. Almost eight children per 1000 live births are expected to have a congenital heart defect globally. The seven most critical congenital heart conditions that cause severe compromise on the patient’s quality and...

    Authors: Sumaya Al Zarouni, Noor Majed Al Mheiri, Kalthoom Al Blooshi, Yousif Al Serkal, Neema Preman, Sadaf Ahsan Naqvi and Yasir Khan
    Citation: BMC Medical Informatics and Decision Making 2022 22:165
  44. Lack of attention to end-users' requirements and preferences may lead to the failure of health information technology (IT) interventions. Identifying users’ needs for designing a mobile application can lead to...

    Authors: Fatemeh Falahati-Marvast, Andrew D. Pucker, Fateme Alipour, Jamileh Farokhzadian and Leila Ahmadian
    Citation: BMC Medical Informatics and Decision Making 2022 22:164
  45. Insomnia is common in breast cancer survivors (BCS), affecting an estimated 30–50% of the 3.8 million BCS in the US. Insomnia is associated with health consequences for cardiometabolic and immune systems, neur...

    Authors: Claire M. Starling, Daniel Greenberg, Eric Zhou, Daniel Lewin, Allison S. Morrow, Daniel Lieberman, Callen Shaw and Hannah Arem
    Citation: BMC Medical Informatics and Decision Making 2022 22:163
  46. Mobile applications (apps) may provide family caregivers of people with chronic diseases and conditions with access to support and good information. However, thorough understanding of how these apps meet the m...

    Authors: Katharina Bidenko and Sabine Bohnet-Joschko
    Citation: BMC Medical Informatics and Decision Making 2022 22:162
  47. Deep learning (DL) models are highly vulnerable to adversarial attacks for medical image classification. An adversary could modify the input data in imperceptible ways such that a model could be tricked to pre...

    Authors: David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan and Yufei Huang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):160

    This article is part of a Supplement: Volume 22 Supplement 2

  48. In a sudden cardiac arrest, starting CPR and applying an AED immediately are the two highest resuscitation priorities. Many existing mobile applications have been developed to assist users in locating a nearby...

    Authors: Gaurav Rao, Vijay Mago, Pawan Lingras and David W. Savage
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):159

    This article is part of a Supplement: Volume 22 Supplement 2

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