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  1. Many early signs of Surgical Site Infection (SSI) developed during the first thirty days after discharge remain inadequately recognized by patients. Hence, it is important to use interactive technologies for p...

    Authors: Tayebeh Baniasadi, Mehdi Hassaniazad, Sharareh Rostam Niakan Kalhori, Mehraban Shahi and Marjan Ghazisaeedi
    Citation: BMC Medical Informatics and Decision Making 2023 23:103
  2. This study aimed to compare clinical and laboratory characteristics of supra-therapeutic (RSTI) and acute acetaminophen exposures using a predictive decision tree (DT) algorithm.

    Authors: Omid Mehrpour, Christopher Hoyte, Samaneh Nakhaee, Bruno Megarbane and Foster Goss
    Citation: BMC Medical Informatics and Decision Making 2023 23:102
  3. This study used machine learning techniques to evaluate cardiovascular disease risk factors (CVD) and the relationship between sex and these risk factors. The objective was pursued in the context of CVD being ...

    Authors: Gamal Saad Mohamed Khamis and Sultan Munadi Alanazi
    Citation: BMC Medical Informatics and Decision Making 2023 23:101
  4. CBT has been found effective for the treatment of EDs and obesity. However not all patients achieve clinically significant weight loss and weight regain is common. In this context, technology-based interventio...

    Authors: Claudia Luck-Sikorski, Regine Hochrein, Nina Döllinger, Carolin Wienrich, Kathrin Gemesi, Sophie Holzmann, Christina Holzapfel and Natascha-Alexandra Weinberger
    Citation: BMC Medical Informatics and Decision Making 2023 23:100
  5. Heart failure (HF) is a major complication following ischemic heart disease (IHD) and it adversely affects the outcome. Early prediction of HF risk in patients with IHD is beneficial for timely intervention an...

    Authors: Dejia Zhou, Hang Qiu, Liya Wang and Minghui Shen
    Citation: BMC Medical Informatics and Decision Making 2023 23:99
  6. The prevalence of end-stage renal disease has raised the need for renal replacement therapy over recent decades. Even though a kidney transplant offers an improved quality of life and lower cost of care than d...

    Authors: Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Leja Hamza Juhar and Mahteme Bekele Muleta
    Citation: BMC Medical Informatics and Decision Making 2023 23:98
  7. Encounter decision aids (EDAs) are tools that can support shared decision making (SDM), up to the clinical encounter. However, adoption of these tools has been limited, as they are hard to produce, to keep up-...

    Authors: Pieter Van Bostraeten, Bert Aertgeerts, Geertruida Bekkering, Nicolas Delvaux, Anna Haers, Matisse Vanheeswyck, Alexander Vandekendelaere, Niels Van der Auwera, Charlotte Dijckmans, Elise Ostyn, Willem Soontjens, Wout Matthysen, Noémie Schenk, Lien Mertens, Jasmien Jaeken, Thomas Agoritsas…
    Citation: BMC Medical Informatics and Decision Making 2023 23:97
  8. Epilepsy is a neurological disorder that is usually detected by electroencephalogram (EEG) signals. Since manual examination of epilepsy seizures is a laborious and time-consuming process, lots of automatic ep...

    Authors: Wenna Chen, Yixing Wang, Yuhao Ren, Hongwei Jiang, Ganqin Du, Jincan Zhang and Jinghua Li
    Citation: BMC Medical Informatics and Decision Making 2023 23:96
  9. Secondary use of routine medical data is key to large-scale clinical and health services research. In a maximum care hospital, the volume of data generated exceeds the limits of big data on a daily basis. This...

    Authors: Marcel Parciak, Markus Suhr, Christian Schmidt, Caroline Bönisch, Benjamin Löhnhardt, Dorothea Kesztyüs and Tibor Kesztyüs
    Citation: BMC Medical Informatics and Decision Making 2023 23:94
  10. Kidney tumors have become increasingly prevalent among adults and are now considered one of the most common types of tumors. Accurate segmentation of kidney tumors can help physicians assess tumor complexity a...

    Authors: Peng Sun, Zengnan Mo, Fangrong Hu, Xin Song, Taiping Mo, Bonan Yu, Yewei Zhang and Zhencheng Chen
    Citation: BMC Medical Informatics and Decision Making 2023 23:92
  11. Electronic Patient-Reported Outcomes (ePROs) have potential to improve health outcomes and healthcare. The development of health-technology applications, such as ePROs, should include the potential users and b...

    Authors: Petra V Lostelius, Magdalena Mattebo, Eva Thors Adolfsson, Anne Söderlund, Mikael Andersén, Sofia Vadlin and Åsa Revenäs
    Citation: BMC Medical Informatics and Decision Making 2023 23:91
  12. The Semantic Web community provides a common Resource Description Framework (RDF) that allows representation of resources such that they can be linked. To maximize the potential of linked data - machine-action...

    Authors: Shuxin Zhang, Nirupama Benis and Ronald Cornet
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):90

    This article is part of a Supplement: Volume 23 Supplement 1

  13. One third (20% to 30%) of patients suffering from hypertension show increased blood pressure resistant to treatment. This resistance often has multifactorial causes, like therapeutic inertia and inappropriate ...

    Authors: Arthur Mai, Karen Voigt, Jeannine Schübel and Felix Gräßer
    Citation: BMC Medical Informatics and Decision Making 2023 23:89
  14. The extensive international research for medications and vaccines for the devastating COVID-19 pandemic requires a standard reference ontology. Among the current COVID-19 ontologies, the Coronavirus Infectious...

    Authors: Ling Zheng, Yehoshua Perl and Yongqun He
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):88

    This article is part of a Supplement: Volume 23 Supplement 1

  15. Biomedical ontologies are representations of biomedical knowledge that provide terms with precisely defined meanings. They play a vital role in facilitating biomedical research in a cross-disciplinary manner. ...

    Authors: Xubing Hao, Rashmie Abeysinghe, Kirk Roberts and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):87

    This article is part of a Supplement: Volume 23 Supplement 1

  16. Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to few cases available for machi...

    Authors: Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley and Honghan Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:86
  17. Epidemiological research may require linkage of information from multiple organizations. This can bring two problems: (1) the information governance desirability of linkage without sharing direct identifiers, ...

    Authors: Rudolf N. Cardinal, Anna Moore, Martin Burchell and Jonathan R. Lewis
    Citation: BMC Medical Informatics and Decision Making 2023 23:85
  18. Polypharmacy (PP) is increasingly common in Iran, and contributes to the substantial burden of drug-related morbidity, increasing the potential for drug interactions and potentially inappropriate medications. ...

    Authors: Maryam Seyedtabib and Naser Kamyari
    Citation: BMC Medical Informatics and Decision Making 2023 23:84
  19. Elective egg freezing decisions are complex. We developed a Decision Aid for elective egg freezing and conducted a phase 1 study to evaluate its acceptability and utility for decision-making.

    Authors: Sherine Sandhu, Martha Hickey, Raelia Lew, Karin Hammarberg, Sabine Braat, Franca Agresta, Anna Parle, Catherine Allingham and Michelle Peate
    Citation: BMC Medical Informatics and Decision Making 2023 23:83
  20. Accurately classifying complex diseases is crucial for diagnosis and personalized treatment. Integrating multi-omics data has been demonstrated to enhance the accuracy of analyzing and classifying complex dise...

    Authors: Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen and Changliang Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:82
  21. A growing body of research suggests that the use of computerized decision support systems can better guide disease treatment and reduce the use of social and medical resources. Artificial intelligence (AI) tec...

    Authors: Tianlai Lin, Xinjue Zhang, Jianbing Gong, Rundong Tan, Weiming Li, Lijun Wang, Yingxia Pan, Xiang Xu and Junhui Gao
    Citation: BMC Medical Informatics and Decision Making 2023 23:81
  22. Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility utilization especially if it is done in real-time as a remaining surgery du...

    Authors: Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki and Hajime Nagahara
    Citation: BMC Medical Informatics and Decision Making 2023 23:80
  23. Clinical practices have demonstrated that disease treatment can be very complex. Patients with chronic diseases often suffer from more than one disease. Complex diseases are often treated with a variety of dru...

    Authors: Yifei Wang, Julia Xu, Jie Zhang, Hong Xu, Yuzhong Sun, Yuan Miao and Tiancai Wen
    Citation: BMC Medical Informatics and Decision Making 2023 23:79
  24. Magnetic resonance image (MRI) brain tumor segmentation is crucial and important in the medical field, which can help in diagnosis and prognosis, overall growth predictions, Tumor density measures, and care pl...

    Authors: Mukul Aggarwal, Amod Kumar Tiwari, M Partha Sarathi and Anchit Bijalwan
    Citation: BMC Medical Informatics and Decision Making 2023 23:78
  25. This study aimed to examine the current use of mobile phones by pregnant women and their attitudes towards the use of a variety of prenatal care services through mHealth.

    Authors: Ehsan Nabovati, Mehrdad Farzandipour, Zahra Vahedpoor, Hossein Akbari, Shima Anvari, Reihane Sharif and Farhad Fatehi
    Citation: BMC Medical Informatics and Decision Making 2023 23:77
  26. Tinnitus is a highly prevalent hearing disorder, and the burden of tinnitus diagnosis and treatment is very heavy, especially in China. In order to better benefit the majority of tinnitus patients, we develope...

    Authors: Dongmei Tang, Haiyan Wang, Dantong Gu, Lei Ye, Shan Sun and Huawei Li
    Citation: BMC Medical Informatics and Decision Making 2023 23:76
  27. Treatment with effective antiretroviral therapy (ART) reduces viral load as well as HIV-related morbidity and mortality in HIV-positive patients. Despite the expanded availability of antiretroviral therapy aro...

    Authors: Daniel Niguse Mamo, Tesfahun Melese Yilma, Makida Fekadie, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku and Agmasie Damtew Walle
    Citation: BMC Medical Informatics and Decision Making 2023 23:75
  28. This research was designed to compare the ability of different machine learning (ML) models and nomogram to predict distant metastasis in male breast cancer (MBC) patients and to interpret the optimal ML model...

    Authors: Xuhai Zhao and Cong Jiang
    Citation: BMC Medical Informatics and Decision Making 2023 23:74
  29. Artificial intelligence (AI) is often cited as a possible solution to current issues faced by healthcare systems. This includes the freeing up of time for doctors and facilitating person-centred doctor-patient...

    Authors: Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero and Nina Hallowell
    Citation: BMC Medical Informatics and Decision Making 2023 23:73
  30. Cardiovascular diseases (CVD) are the predominant cause of early death worldwide. Identification of people with a high risk of being affected by CVD is consequential in CVD prevention. This study adopts Machin...

    Authors: Kamran Mehrabani-Zeinabad, Awat Feizi, Masoumeh Sadeghi, Hamidreza Roohafza, Mohammad Talaei and Nizal Sarrafzadegan
    Citation: BMC Medical Informatics and Decision Making 2023 23:72
  31. Intraoperative blood transfusion is associated with adverse events. We aimed to establish a machine learning model to predict the probability of intraoperative blood transfusion during intracranial aneurysm su...

    Authors: Shugen Xiao, Fan Liu, Liyuan Yu, Xiaopei Li, Xihong Ye and Xingrui Gong
    Citation: BMC Medical Informatics and Decision Making 2023 23:71
  32. Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients wi...

    Authors: Mariana Oliveira, Joana Seringa, Fausto José Pinto, Roberto Henriques and Teresa Magalhães
    Citation: BMC Medical Informatics and Decision Making 2023 23:70
  33. Bronchopulmonary Dysplasia (BPD) has a high incidence and affects the health of preterm infants. Cuproptosis is a novel form of cell death, but its mechanism of action in the disease is not yet clear. Machine ...

    Authors: Mingxuan Jia, Jieyi Li, Jingying Zhang, Ningjing Wei, Yating Yin, Hui Chen, Shixing Yan and Yong Wang
    Citation: BMC Medical Informatics and Decision Making 2023 23:69
  34. The incidence of diagnostic delays is unknown for many diseases and specific healthcare settings. Many existing methods to identify diagnostic delays are resource intensive or difficult to apply to different d...

    Authors: Aaron C Miller, Joseph E Cavanaugh, Alan T Arakkal, Scott H Koeneman and Philip M Polgreen
    Citation: BMC Medical Informatics and Decision Making 2023 23:68
  35. Machine-learning models are susceptible to external influences which can result in performance deterioration. The aim of our study was to elucidate the impact of a sudden shift in covariates, like the one caus...

    Authors: D. I. Andonov, B. Ulm, M. Graessner, A. Podtschaske, M. Blobner, B. Jungwirth and S. M. Kagerbauer
    Citation: BMC Medical Informatics and Decision Making 2023 23:67
  36. The increased digitalisation of health records has resulted in increased opportunities for the secondary use of health information for advancing healthcare. Understanding how patients want their health informa...

    Authors: Rosie Dobson, Helen Wihongi and Robyn Whittaker
    Citation: BMC Medical Informatics and Decision Making 2023 23:66
  37. Despite high rates of mental health disorders among cancer patients, uptake of referral to psycho-oncology services remains low. This study aims to develop and seek clinician and patient feedback on a patient ...

    Authors: Rebecca Rayner, Joanne Shaw and Caroline Hunt
    Citation: BMC Medical Informatics and Decision Making 2023 23:65
  38. Breast cancer (BC) is one of the most common cancers among women. Since diverse features can be collected, how to stably select the powerful ones for accurate BC diagnosis remains challenging.

    Authors: Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan and Chenghao Piao
    Citation: BMC Medical Informatics and Decision Making 2023 23:64
  39. Prediction modelling increasingly becomes an important risk assessment tool in perioperative systems approaches, e.g. in complex patients with open abdomen treatment for peritonitis. In this population, combin...

    Authors: Markus Huber, Patrick Schober, Sven Petersen and Markus M. Luedi
    Citation: BMC Medical Informatics and Decision Making 2023 23:63
  40. With the rapid growth of healthcare services, health insurance fraud detection has become an important measure to ensure efficient use of public funds. Traditional fraud detection methods have tended to focus ...

    Authors: Jiangtao Lu, Kaibiao Lin, Ruicong Chen, Min Lin, Xin Chen and Ping Lu
    Citation: BMC Medical Informatics and Decision Making 2023 23:62
  41. The process of initiating and completing clinical drug trials in hospital settings is highly complex, with numerous institutional, technical, and record-keeping barriers. In this study, we independently develo...

    Authors: Liang Shen, You Zhai, AXiang Pan, Qingwei Zhao, Min Zhou and Jian Liu
    Citation: BMC Medical Informatics and Decision Making 2023 23:61
  42. Biguanides and sulfonylurea are two classes of anti-diabetic medications that have commonly been prescribed all around the world. Diagnosis of biguanide and sulfonylurea exposures is based on history taking an...

    Authors: Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh and Christopher Hoyte
    Citation: BMC Medical Informatics and Decision Making 2023 23:60
  43. We aimed to develop a robust framework to model the complex association between clinical features and traumatic brain injury (TBI) risk in children under age two, and identify significant features to derive cl...

    Authors: Baiming Zou, Xinlei Mi, Elizabeth Stone and Fei Zou
    Citation: BMC Medical Informatics and Decision Making 2023 23:58
  44. Canada’s 24-Hour Movement Guidelines for Adults have shifted the focus from considering movement behaviours (i.e., physical activity, sedentary behaviour, and sleep) separately to a 24-h paradigm, which consid...

    Authors: Tamara L. Morgan, Jensen Pletch, Emma Faught, Michelle S. Fortier, Mary Kate Gazendam, Kelly Howse, Rahul Jain, Kirstin N. Lane, Kaleigh Maclaren, Taylor McFadden, Jeanette C. Prorok, Zachary J. Weston and Jennifer R. Tomasone
    Citation: BMC Medical Informatics and Decision Making 2023 23:57
  45. This study aimed to develop a prediction model for transferring patients to an inappropriate hospital for suspected cardiovascular emergency diseases at the pre-hospital stage, using variables obtained from an...

    Authors: Ji Hoon Kim, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim and Hyuk-Jae Chang
    Citation: BMC Medical Informatics and Decision Making 2023 23:56
  46. Gastric cancer is the most common malignant tumor worldwide and a leading cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes. Survivability prediction may help select the bes...

    Authors: Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2023 23:54

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