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  1. Digital health technologies enable patients to make a personal contribution to the improvement of their health by enabling them to manage their health. In order to exploit the potential of digital health techn...

    Authors: Niels Hannemann, Nina-Alexandra Götz, Lisa Schmidt, Ursula Hübner and Birgit Babitsch
    Citation: BMC Medical Informatics and Decision Making 2021 21:250
  2. Understanding prognostic information can help patients know what may happen to their health over time and make informed decisions. However, communicating prognostic information well can be challenging.

    Authors: Eman Abukmail, Mina Bakhit, Chris Del Mar and Tammy Hoffmann
    Citation: BMC Medical Informatics and Decision Making 2021 21:249
  3. Breast Self-Examination (BSE) is a simple and inexpensive method for early diagnosis of breast cancer. This study aimed to determine the effect of a smartphone application on women’s performance and health bel...

    Authors: Mitra Shakery, Manoosh Mehrabi and Zahra Khademian
    Citation: BMC Medical Informatics and Decision Making 2021 21:248
  4. Significant investments have been made towards the implementation of mHealth applications and eRecord systems globally. However, fragmentation of these technologies remains a big challenge, often unresolved in...

    Authors: Kagiso Ndlovu, Richard E. Scott and Maurice Mars
    Citation: BMC Medical Informatics and Decision Making 2021 21:246
  5. Patient-based analysis of social media is a growing research field with the aim of delivering precision medicine but it requires accurate classification of posts relating to patients’ experiences. We motivate ...

    Authors: Beatrice Alex, Donald Whyte, Daniel Duma, Roma English Owen and Elizabeth A. L. Fairley
    Citation: BMC Medical Informatics and Decision Making 2021 21:244
  6. It is encouraging to see a substantial increase in individuals surviving cancer. Even more so since most of them will have a positive effect on society by returning to work. However, many cancer survivors have...

    Authors: Izidor Mlakar, Simon Lin, Ilona Aleksandraviča, Krista Arcimoviča, Jānis Eglītis, Mārcis Leja, Ángel Salgado Barreira, Jesús G. Gómez, Mercedes Salgado, Jesús G. Mata, Doroteja Batorek, Matej Horvat, Maja Molan, Maja Ravnik, Jean-François Kaux, Valérie Bleret…
    Citation: BMC Medical Informatics and Decision Making 2021 21:243
  7. Data sharing is considered a crucial part of modern medical research. Unfortunately, despite its advantages, it often faces obstacles, especially data privacy challenges. As a result, various approaches and in...

    Authors: Felix Nikolaus Wirth, Thierry Meurers, Marco Johns and Fabian Prasser
    Citation: BMC Medical Informatics and Decision Making 2021 21:242
  8. Data sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. How...

    Authors:
    Citation: BMC Medical Informatics and Decision Making 2021 21:241
  9. A clinical librarian is a member of the medical team in many countries. To strengthen this new job, librarians need to acquire professional skills in order to provide information services to medical staff. In ...

    Authors: Maryam Zarghani, Leila Nemati-Anaraki, Zahra Dinpajoo, Arezoo Ghamgosar, Sedegheh Khani and Maryam Khazaee-Pool
    Citation: BMC Medical Informatics and Decision Making 2021 21:240

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:276

  10. Rhinosinusitis is an inflammation of the sinonasal cavity which affects roughly one in seven people per year. Acute rhinosinusitis (ARS) is mostly, apart from allergic etiology, caused by a viral infection and...

    Authors: L. Hart, A. Polášková and P. Schalek
    Citation: BMC Medical Informatics and Decision Making 2021 21:239
  11. This article investigates the research problem of digital solutions to overcome the pandemic, more closely examining the limited effectiveness and scope of the governmental COVID-19 tracing apps, using the Ger...

    Authors: Alina Behne, Nicolai Krüger, Jan Heinrich Beinke and Frank Teuteberg
    Citation: BMC Medical Informatics and Decision Making 2021 21:238
  12. Advanced analytics, such as artificial intelligence (AI), increasingly gain relevance in medicine. However, patients’ responses to the involvement of AI in the care process remains largely unclear. The study a...

    Authors: Michaela Soellner and Joerg Koenigstorfer
    Citation: BMC Medical Informatics and Decision Making 2021 21:236
  13. Home blood pressure measurements have equal or even greater predictive value than clinic blood pressure measurements regarding cardiovascular outcomes. With advances in home blood pressure monitors, we face an...

    Authors: Pete Wegier, Jeffery L. Belden, Shannon M. Canfield, Victoria A. Shaffer, Sonal J. Patil, Michael L. LeFevre, K. D. Valentine, Mihail Popescu, Linsey M. Steege, Akshay Jain and Richelle J. Koopman
    Citation: BMC Medical Informatics and Decision Making 2021 21:235
  14. In sub-Saharan Africa, the material and human capacity to diagnose patients reporting with fever to healthcare providers is largely insufficient. Febrile patients are typically treated presumptively with antim...

    Authors: Shannen M. C. van Duijn, Angela K. Siteyi, Sherzel Smith, Emmanuel Milimo, Leon Stijvers, Monica Oguttu, Michael O. Amollo, Edward O. Okeyo, Lilyana Dayo, Titus Kwambai, Dickens Onyango and Tobias F. Rinke de Wit
    Citation: BMC Medical Informatics and Decision Making 2021 21:233
  15. In developing countries, health information system (HIS) is experiencing more and more difficulties to produce quality data. The lack of reliable health related information makes it difficult to develop effect...

    Authors: Aimé Patrice Koumamba, Ulrick Jolhy Bisvigou, Edgard Brice Ngoungou and Gayo Diallo
    Citation: BMC Medical Informatics and Decision Making 2021 21:232
  16. The coronavirus disease (COVID-19), a pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has shown its destructiveness with more than one million confirmed cases and dozens of tho...

    Authors: Hetong Ma, Liu Shen, Haixia Sun, Zidu Xu, Li Hou, Sizhu Wu, An Fang, Jiao Li and Qing Qian
    Citation: BMC Medical Informatics and Decision Making 2021 21:231
  17. Road traffic accidents have been one of the leading causes of death. Despite the increasing trend of road traffic apps, there is no comprehensive analysis of their features and no taxonomy for the apps based o...

    Authors: Hossein Aghayari, Leila R. Kalankesh, Homayoun Sadeghi-Bazargani and Mohammad-Reza Feizi-Derakhshi
    Citation: BMC Medical Informatics and Decision Making 2021 21:230
  18. Telepathology is the practice of reviewing and exchanging pathological images through telecommunication systems to obtain diagnoses remotely. Studying the factors that make such a system successful and favoura...

    Authors: Ali Jasem Buabbas, Tareq Mohammad, Adel K. Ayed, Hawraa Mallah, Hamza Al-Shawaf and Abdulwahed Mohammed Khalfan
    Citation: BMC Medical Informatics and Decision Making 2021 21:229
  19. In France, about 30% of the population refuses COVID-19 vaccination outright, and 9 to 40% are hesitant. We developed and evaluated an interactive web tool providing transparent and reliable information on the...

    Authors: Viet-Thi Tran, Stéphanie Sidorkiewicz, Clarisse Péan and Philippe Ravaud
    Citation: BMC Medical Informatics and Decision Making 2021 21:228
  20. In medical diagnosis and clinical practice, diagnosing a disease early is crucial for accurate treatment, lessening the stress on the healthcare system. In medical imaging research, image processing techniques...

    Authors: Kinshuk Sengupta and Praveen Ranjan Srivastava
    Citation: BMC Medical Informatics and Decision Making 2021 21:227
  21. Computed tomography (CT) reports record a large volume of valuable information about patients’ conditions and the interpretations of radiology images from radiologists, which can be used for clinical decision-...

    Authors: Huanyao Zhang, Danqing Hu, Huilong Duan, Shaolei Li, Nan Wu and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):214

    This article is part of a Supplement: Volume 21 Supplement 2

  22. Image text is an important text data in the medical field at it can assist clinicians in making a diagnosis. However, due to the diversity of languages, most descriptions in the image text are unstructured dat...

    Authors: Xin Huang, Hui Chen and Jing-Dong Yan
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):203

    This article is part of a Supplement: Volume 21 Supplement 2

  23. Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods i...

    Authors: Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang and Tianyong Hao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):129

    This article is part of a Supplement: Volume 21 Supplement 2

  24. Regional citrate anticoagulation (RCA) is an important local anticoagulation method during bedside continuous renal replacement therapy. To improve patient safety and achieve computer assisted dose monitoring ...

    Authors: Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Liu, Jie He, Huizhen Jiang, Yun Long and Weiguo Zhu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):126

    This article is part of a Supplement: Volume 21 Supplement 2

  25. Epilepsy is one of the diseases of the nervous system, which has a large population in the world. Traditional diagnosis methods mostly depended on the professional neurologists’ reading of the electroencephalo...

    Authors: Mengnan Ma, Yinlin Cheng, Xiaoyan Wei, Ziyi Chen and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):100

    This article is part of a Supplement: Volume 21 Supplement 2

  26. As proven to reflect the work state of heart and physiological situation objectively, electrocardiogram (ECG) is widely used in the assessment of human health, especially the diagnosis of heart disease. The ac...

    Authors: Guixiang Li, Zhongwei Tan, Weikang Xu, Fei Xu, Lei Wang, Jun Chen and Kai Wu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):99

    This article is part of a Supplement: Volume 21 Supplement 2

  27. The influenza surveillance has been received much attention in public health area. For the cases with excessive zeroes, the zero-inflated Poisson process is widely used. However, the traditional control charts...

    Authors: Yueying Tan, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Ka-chun Chong, Paul K. S. Chan and Jing Tang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):96

    This article is part of a Supplement: Volume 21 Supplement 2

  28. Text Matching (TM) is a fundamental task of natural language processing widely used in many application systems such as information retrieval, automatic question answering, machine translation, dialogue system...

    Authors: Xiaoming Yu, Yedan Shen, Yuan Ni, Xiaowei Huang, Xiaolong Wang, Qingcai Chen and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):94

    This article is part of a Supplement: Volume 21 Supplement 2

  29. Transformer is an attention-based architecture proven the state-of-the-art model in natural language processing (NLP). To reduce the difficulty of beginning to use transformer-based models in medical language und...

    Authors: Feihong Yang, Xuwen Wang, Hetong Ma and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):90

    This article is part of a Supplement: Volume 21 Supplement 2

  30. Semantic segmentation of white matter hyperintensities related to focal cerebral ischemia (FCI) and lacunar infarction (LACI) is of significant importance for the automatic screening of tiny cerebral lesions a...

    Authors: Yue Liu, Xiang Li, Tianyang Li, Bin Li, Zhensong Wang, Jie Gan and Benzheng Wei
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):89

    This article is part of a Supplement: Volume 21 Supplement 2

  31. The misestimation of surgical risk is a serious threat to the lives of patients when implementing surgical risk calculator. Improving the accuracy of postoperative risk prediction has received much attention a...

    Authors: Ruoyu Liu, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Paul B. S. Lai and Ci-ren Guo
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):88

    This article is part of a Supplement: Volume 21 Supplement 2

  32. Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal di...

    Authors: Yinlin Cheng, Mengnan Ma, Xingyu Li and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):82

    This article is part of a Supplement: Volume 21 Supplement 2

  33. Epilepsy was defined as an abnormal brain network model disease in the latest definition. From a microscopic perspective, it is also particularly important to observe the Mutual Information (MI) of the whole b...

    Authors: Mengnan Ma, Xiaoyan Wei, Yinlin Cheng, Ziyi Chen and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):80

    This article is part of a Supplement: Volume 21 Supplement 2

  34. Analgesia and sedation therapy are commonly used for critically ill patients, especially mechanically ventilated patients. From the initial nonsedation programs to deep sedation and then to on-demand sedation,...

    Authors: Longxiang Su, Chun Liu, Fengxiang Chang, Bo Tang, Lin Han, Huizhen Jiang, Weiguo Zhu, Na Hong, Xiang Zhou and Yun Long
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):79

    This article is part of a Supplement: Volume 21 Supplement 2

  35. Although the expenses of liver cirrhosis are covered by a critical illness fund under the current health insurance program in China, the medical costs associated with hepatitis B virus (HBV) related diseases i...

    Authors: Shuo Yang, Ge Chen, Yueping Li, Guanhai Li, Yingfang Liang, Feng Zhou, Shudong Zhou, Yi Yang, Weidong Jia, Yanhui Gao and Yue Chen
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):71

    This article is part of a Supplement: Volume 21 Supplement 2

  36. Accurately segment the tumor region of MRI images is important for brain tumor diagnosis and radiotherapy planning. At present, manual segmentation is wildly adopted in clinical and there is a strong need for ...

    Authors: Daobin Huang, Minghui Wang, Ling Zhang, Haichun Li, Minquan Ye and Ao Li
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):63

    This article is part of a Supplement: Volume 21 Supplement 2

  37. A new learning-based patient similarity measurement was proposed to measure patients’ similarity for heterogeneous electronic medical records (EMRs) data.

    Authors: Ni Wang, Yanqun Huang, Honglei Liu, Zhiqiang Zhang, Lan Wei, Xiaolu Fei and Hui Chen
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):58

    This article is part of a Supplement: Volume 21 Supplement 2

  38. Diabetes mellitus is a major chronic disease that results in readmissions due to poor disease control. Here we established and compared machine learning (ML)-based readmission prediction methods to predict rea...

    Authors: Yujuan Shang, Kui Jiang, Lei Wang, Zheqing Zhang, Siwei Zhou, Yun Liu, Jiancheng Dong and Huiqun Wu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):57

    This article is part of a Supplement: Volume 21 Supplement 2

  39. Formula is an important means of traditional Chinese medicine (TCM) to treat diseases and has great research significance. There are many formula databases, but accessing rich information efficiently is diffic...

    Authors: Yidi Cui, Bo Gao, Lihong Liu, Jing Liu and Yan Zhu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):56

    This article is part of a Supplement: Volume 21 Supplement 2

  40. Clinical notes record the health status, clinical manifestations and other detailed information of each patient. The International Classification of Diseases (ICD) codes are important labels for electronic hea...

    Authors: Weidong Bao, Hongfei Lin, Yijia Zhang, Jian Wang and Shaowu Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):55

    This article is part of a Supplement: Volume 21 Supplement 2

  41. Given that China has encouraged EHR usage in hospitals for more than a decade, patients’ access to their own EHR data is still not as widely utilized as expected.

    Authors: Ting Shu, Fan Xu, Hongxia Li and Wei Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):53

    This article is part of a Supplement: Volume 21 Supplement 2

  42. Hospitals across Australia are implementing Clinical Information Systems, e.g. Electronic Medication Management Systems (EMMS) at a rapid pace to moderate health services. The benefits of the EMMS depend on th...

    Authors: Milan Rasikbhai Vaghasiya, Jonathan Penm, Kevin K. Y. Kuan, Naren Gunja, Yiren Liu, Eui Dong Kim, Neysa Petrina and Simon Poon
    Citation: BMC Medical Informatics and Decision Making 2021 21:226
  43. Achilles tendon ruptures are common injuries in an otherwise healthy, active population. Several treatment options exist, with both surgical and non-surgical options. Each treatment option has a unique set of ...

    Authors: Brad Meulenkamp, Julia Brillinger, Dean Fergusson, Dawn Stacey and Ian D. Graham
    Citation: BMC Medical Informatics and Decision Making 2021 21:225
  44. Many models are published which predict outcomes in hospitalized COVID-19 patients. The generalizability of many is unknown. We evaluated the performance of selected models from the literature and our own mode...

    Authors: William Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta and Houshang Darabi
    Citation: BMC Medical Informatics and Decision Making 2021 21:224
  45. Testing a hypothesis for ‘factors-outcome effect’ is a common quest, but standard statistical regression analysis tools are rendered ineffective by data contaminated with too many noisy variables. Expert Syste...

    Authors: Hesham Salem, Daniele Soria, Jonathan N. Lund and Amir Awwad
    Citation: BMC Medical Informatics and Decision Making 2021 21:223
  46. The increasing prevalence of childhood obesity makes it essential to study the risk factors with a sample representative of the population covering more health topics for better preventive policies and interve...

    Authors: Xi Shi, Gorana Nikolic, Gorka Epelde, Mónica Arrúe, Joseba Bidaurrazaga Van-Dierdonck, Roberto Bilbao and Bart De Moor
    Citation: BMC Medical Informatics and Decision Making 2021 21:222
  47. Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of ...

    Authors: Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean and Marc Simard
    Citation: BMC Medical Informatics and Decision Making 2021 21:219

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