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  1. Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial role in healthcare management for patients with chronic diseases, especially hypertension and vascular disease. However, cur...

    Authors: Yan Chu, Kaichen Tang, Yu-Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang and Shayan Shams
    Citation: BMC Medical Informatics and Decision Making 2023 23:131
  2. Today, clinical decision support systems based on artificial intelligence can significantly help physicians in the correct diagnosis and quick rapid treatment of endophthalmitis as the most important cause of ...

    Authors: Mahdi Shaeri, Nasser Shoeibi, Seyedeh Maryam Hosseini, Fatemeh Rangraze Jeddi, Razieh Farrahi, Ehsan Nabovati and Azam Salehzadeh
    Citation: BMC Medical Informatics and Decision Making 2023 23:130
  3. Cardiovascular disease is the leading cause of death in the United States (US). Despite the well-recognized efficacy of statins, statin discontinuation rates remain high. Statin intolerance is a major cause of...

    Authors: Weidan Cao, Lang Li, Puneet Mathur, John Thompson and M. Wesley Milks
    Citation: BMC Medical Informatics and Decision Making 2023 23:128
  4. Post-stroke depression (PSD) was one of the most prevalent and serious neuropsychiatric effects after stroke. Nevertheless, the association between liver function test indices and PSD remains elusive, and ther...

    Authors: Jun Gong, Yalian Zhang, Xiaogang Zhong, Yi Zhang, Yanhua Chen and Huilai Wang
    Citation: BMC Medical Informatics and Decision Making 2023 23:127
  5. The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline characterized by abnormal ovarian reserve tests is regarded as a ...

    Authors: Jie Cai, Shenglin Chen, Siyun Guo, Suidong Wang, Lintong Li, Xiaotong Liu, Keming Zheng, Yudong Liu and Shiling Chen
    Citation: BMC Medical Informatics and Decision Making 2023 23:126
  6. The survival of patients with lymphoma varies greatly among individuals and were affected by various factors. The aim of this study was to develop and validate a prognostic model for predicting overall surviva...

    Authors: Xiaosheng Li, Yue Chen, Anlong Sun, Ying Wang, Yao Liu and Haike Lei
    Citation: BMC Medical Informatics and Decision Making 2023 23:125
  7. Esophageal cancer (EC) is a significant global health problem, with an estimated 7th highest incidence and 6th highest mortality rate. Timely diagnosis and treatment are critical for improving patients’ outcom...

    Authors: Farhang Hosseini, Farkhondeh Asadi, Hassan Emami and Mahdi Ebnali
    Citation: BMC Medical Informatics and Decision Making 2023 23:124
  8. Developmental disorders are a prevalent problem in the health sector of low- and middle-income countries (LMICs), and children in these countries are at greater risk. A registry system is helpful and vital to ...

    Authors: Elahe Gozali, Reza Safdari, Bahlol Rahimi, Marjan Ghazisaeedi, Hamidreza Farrokh-Eslamlou and Malihe Sadeghi
    Citation: BMC Medical Informatics and Decision Making 2023 23:123
  9. Histological assessment of smooth muscle is a critical step particularly in staging malignant tumors in various internal organs including  the urinary bladder. Nonetheless, manual segmentation and classificati...

    Authors: Sridevi K. Subramanya, Rui Li, Ying Wang, Hiroshi Miyamoto and Feng Cui
    Citation: BMC Medical Informatics and Decision Making 2023 23:122
  10. Real-world evidence (RWE)—based on information obtained from sources such as electronic health records (EHRs), claims and billing databases, product and disease registries, and personal devices and health appl...

    Authors: Daniel Riskin, Roger Cady, Anand Shroff, Nada A. Hindiyeh, Timothy Smith and Steven Kymes
    Citation: BMC Medical Informatics and Decision Making 2023 23:121
  11. To construct two prognostic models to predict survival in breast cancer patients; to compare the efficacy of the two models in the whole group and the advanced human epidermal growth factor receptor-2-positive...

    Authors: Fan Su, Jianqian Chao, Pei Liu, Bowen Zhang, Na Zhang, Zongyu Luo and Jiaying Han
    Citation: BMC Medical Informatics and Decision Making 2023 23:120
  12. Kampo medicine is widely used in Japan; however, most physicians and pharmacists have insufficient knowledge and experience in it. Although a chatbot-style system using machine learning and natural language pr...

    Authors: Ayako Maeda-Minami, Tetsuhiro Yoshino, Tetsuro Yumoto, Kayoko Sato, Atsunobu Sagara, Kenjiro Inaba, Hidenori Kominato, Takao Kimura, Tetsuya Takishita, Gen Watanabe, Tomonori Nakamura, Yasunari Mano, Yuko Horiba, Kenji Watanabe and Junzo Kamei
    Citation: BMC Medical Informatics and Decision Making 2023 23:119
  13. Research into current robot middleware has revealed that most of them are either too complicated or outdated. These facts have motivated the development of a new middleware to meet the requirements of usabilit...

    Authors: Robin Glauser, Jürgen Holm, Matthias Bender and Thomas Bürkle
    Citation: BMC Medical Informatics and Decision Making 2023 23:118
  14. We aimed to select and externally validate a benchmark method for emergency ambulance services to use to forecast the daily number of calls that result in the dispatch of one or more ambulances.

    Authors: Thomas Monks, Alison Harper, Michael Allen, Lucy Collins and Andrew Mayne
    Citation: BMC Medical Informatics and Decision Making 2023 23:117
  15. Personal Health Records (PHRs) are designed to fulfill the goals of electronic health (eHealth) and empower the individual in the process of self-care. Integrated PHR can improve the quality of care, strengthe...

    Authors: Azamossadat Hosseini, Hassan Emami, Yousef Sadat and Somayeh Paydar
    Citation: BMC Medical Informatics and Decision Making 2023 23:116
  16. Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excellent performance. But the adversarial attack and defense for them should be thoroughly studied before putting...

    Authors: Jianfeng Yu, Kai Qiu, Pengju Wang, Caixia Su, Yufeng Fan and Yongfeng Cao
    Citation: BMC Medical Informatics and Decision Making 2023 23:115
  17. Shared decision-making is the gold standard for good clinical practice, and thus, psychometric instruments have been established to assess patients’ generic preference for participation (e.g., the Autonomy Pre...

    Authors: Björn Büdenbender, Anja K. Köther, Maximilian C. Kriegmair, Britta Grüne, Maurice S. Michel and Georg W. Alpers
    Citation: BMC Medical Informatics and Decision Making 2023 23:114
  18. Respondent-driven sampling (RDS) refers both to a chain-referral sampling method and an analytical model for analysing sampled data. Web-based respondent-driven sampling (webRDS) uses internet-based recruitmen...

    Authors: Catherine R. McGowan, Promise Ekoriko, Mervat Alhaffar, Sarah Cassidy-Seyoum, Steven Whitbread, Phil Rogers, Lucy Bell and Francesco Checchi
    Citation: BMC Medical Informatics and Decision Making 2023 23:113
  19. Our working group has developed a set of quality assessment tools for different types of patient information material. In this paper we review and evaluate these tools and their development process over the pa...

    Authors: Lena Josfeld and Jutta Huebner
    Citation: BMC Medical Informatics and Decision Making 2023 23:111
  20. Precision medicine requires reliable identification of variation in patient-level outcomes with different available treatments, often termed treatment effect heterogeneity. We aimed to evaluate the comparative...

    Authors: Ashwini Venkatasubramaniam, Bilal A. Mateen, Beverley M. Shields, Andrew T. Hattersley, Angus G. Jones, Sebastian J. Vollmer and John M. Dennis
    Citation: BMC Medical Informatics and Decision Making 2023 23:110
  21. Unplanned hospital readmissions are serious medical adverse events, stressful to patients, and expensive for hospitals. This study aims to develop a probability calculator to predict unplanned readmissions (PURE)...

    Authors: Koen Welvaars, Michel P. J. van den Bekerom, Job N. Doornberg and Ernst P. van Haarst
    Citation: BMC Medical Informatics and Decision Making 2023 23:108
  22. Lung cancer is a malignant tumour, and early diagnosis has been shown to improve the survival rate of lung cancer patients. In this study, we assessed the use of plasma metabolites as biomarkers for lung cance...

    Authors: Xiuliang Guan, Yue Du, Rufei Ma, Nan Teng, Shu Ou, Hui Zhao and Xiaofeng Li
    Citation: BMC Medical Informatics and Decision Making 2023 23:107
  23. Reduced or absence of melanin poses physical, social, and psychological challenges to individuals with albinism. Mobile health (mHealth) applications have the potential to improve the accessibility of informat...

    Authors: Saman Mortezaei, Reza Rabiei, Farkhondeh Asadi and Hassan Emami
    Citation: BMC Medical Informatics and Decision Making 2023 23:106
  24. Adverse drug events (ADEs) are associated with poor outcomes and increased costs but may be prevented with prediction tools. With the National Institute of Health All of Us (AoU) database, we employed machine lea...

    Authors: Jatin Goyal, Ding Quan Ng, Kevin Zhang, Alexandre Chan, Joyce Lee, Kai Zheng, Keri Hurley-Kim, Lee Nguyen, Lu He, Megan Nguyen, Sarah McBane, Wei Li and Christine Luu Cadiz
    Citation: BMC Medical Informatics and Decision Making 2023 23:105
  25. Advanced machine learning models have received wide attention in assisting medical decision making due to the greater accuracy they can achieve. However, their limited interpretability imposes barriers for pra...

    Authors: Xiaoquan Gao, Sabriya Alam, Pengyi Shi, Franklin Dexter and Nan Kong
    Citation: BMC Medical Informatics and Decision Making 2023 23:104
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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

  38. 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
  39. 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

  40. 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

  41. 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
  42. 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
  43. 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

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2023 23:112

  44. 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
  45. 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
  46. 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

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