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  1. Risk-based breast cancer (BC) screening raises new questions regarding information provision and risk communication. This study aimed to: 1) investigate women’s beliefs and knowledge (i.e., mental models) rega...

    Authors: Inge S. van Strien-Knippenberg, Hannah Arjangi-Babetti, Danielle R. M. Timmermans, Laura Schrauwen, Mirjam P. Fransen, Marijke Melles and Olga C. Damman
    Citation: BMC Medical Informatics and Decision Making 2024 24:78
  2. To address the challenge of assessing sedation status in critically ill patients in the intensive care unit (ICU), we aimed to develop a non-contact automatic classifier of agitation using artificial intellige...

    Authors: Pei-Yu Dai, Yu-Cheng Wu, Ruey-Kai Sheu, Chieh-Liang Wu, Shu-Fang Liu, Pei-Yi Lin, Wei-Lin Cheng, Guan-Yin Lin, Huang-Chien Chung and Lun-Chi Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:77
  3. Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially c...

    Authors: Yong Liu, Shenggen Ju and Junfeng Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:75
  4. Traditionally, existing studies assessing the health associations of accelerometer-measured movement behaviors have been performed with few averaged values, mainly representing the duration of physical activit...

    Authors: Vahid Farrahi, Paul J Collings and Mourad Oussalah
    Citation: BMC Medical Informatics and Decision Making 2024 24:74
  5. The increasing aging population has led to a shortage of geriatric chronic disease caregiver, resulting in inadequate care for elderly people. In this global context, many older people rely on nonprofessional ...

    Authors: Aihua Li, Che Han, Xinzhu Xing, Qinyan Wei, Yuxue Chi and Fan Pu
    Citation: BMC Medical Informatics and Decision Making 2024 24:73
  6. Large language models (LLMs) like OpenAI’s ChatGPT are powerful generative systems that rapidly synthesize natural language responses. Research on LLMs has revealed their potential and pitfalls, especially in ...

    Authors: Ye-Jean Park, Abhinav Pillai, Jiawen Deng, Eddie Guo, Mehul Gupta, Mike Paget and Christopher Naugler
    Citation: BMC Medical Informatics and Decision Making 2024 24:72
  7. Wearable devices have the advantage of always being with individuals, enabling easy detection of their movements. Smart clothing can provide feedback to family caregivers of older adults with disabilities who ...

    Authors: Chung-Chih Lin, Ching-Tzu Yang, Pei-Ling Su, Jung-Ling Hsu, Yea-Ing L. Shyu and Wen-Chuin Hsu
    Citation: BMC Medical Informatics and Decision Making 2024 24:71
  8. Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing the risk of perioperative complications, length of hospital stay, readmission and mortality. Further, it can facilitate ...

    Authors: Gideon Kowadlo, Yoel Mittelberg, Milad Ghomlaghi, Daniel K. Stiglitz, Kartik Kishore, Ranjan Guha, Justin Nazareth and Laurence Weinberg
    Citation: BMC Medical Informatics and Decision Making 2024 24:70
  9. The burden of chronic conditions is growing in Australia with people in remote areas experiencing high rates of disease, especially kidney disease. Health care in remote areas of the Northern Territory (NT) is...

    Authors: Gillian Gorham, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen, Bhavya Balasubramanya, Mohammad Radwanur Talukder, Sophie Pascoe, Adam Whitehead, Cherian Sajiv, Louise Maple Brown, Nadarajah Kangaharan and Alan Cass
    Citation: BMC Medical Informatics and Decision Making 2024 24:69
  10. To discover pharmacotherapy prescription patterns and their statistical associations with outcomes through a clinical pathway inference framework applied to real-world data.

    Authors: Everett Rush, Ozgur Ozmen, Minsu Kim, Erin Rush Ortegon, Makoto Jones, Byung H. Park, Steven Pizer, Jodie Trafton, Lisa A. Brenner, Merry Ward and Jonathan R. Nebeker
    Citation: BMC Medical Informatics and Decision Making 2024 24:68
  11. Deep learning has been increasingly utilized in the medical field and achieved many goals. Since the size of data dominates the performance of deep learning, several medical institutions are conducting joint r...

    Authors: Junmo Kim, Min Hyuk Lim, Kwangsoo Kim and Hyung-Jin Yoon
    Citation: BMC Medical Informatics and Decision Making 2024 24:67
  12. Among people with COPD, smartphone and wearable technology may provide an effective method to improve care at home by supporting, encouraging, and sustaining self-management. The current study was conducted to...

    Authors: Robert Wu, Eyal de Lara, Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tanya Son and Andrea S. Gershon
    Citation: BMC Medical Informatics and Decision Making 2024 24:66
  13. Multimodal histology image registration is a process that transforms into a common coordinate system two or more images obtained from different microscopy modalities. The combination of information from variou...

    Authors: Rodrigo Escobar Díaz Guerrero, José Luis Oliveira, Juergen Popp and Thomas Bocklitz
    Citation: BMC Medical Informatics and Decision Making 2024 24:65
  14. Because poor health in youth risk affecting their entry in adulthood, improved methods for their early identification are needed. Health and welfare technology is widely accepted by youth populations, presenti...

    Authors: Petra V. Lostelius, Catharina Gustavsson, Eva Thors Adolfsson, Anne Söderlund, Åsa Revenäs, Ann-Britt Zakrisson and Magdalena Mattebo
    Citation: BMC Medical Informatics and Decision Making 2024 24:64
  15. Adults with cancer experience symptoms that change across the disease trajectory. Due to the distress and cost associated with uncontrolled symptoms, improving symptom management is an important component of q...

    Authors: Hayley Dunnack Yackel, Barbara Halpenny, Janet L. Abrahm, Jennifer Ligibel, Andrea Enzinger, David F. Lobach and Mary E. Cooley
    Citation: BMC Medical Informatics and Decision Making 2024 24:63
  16. Variation in laboratory healthcare data due to seasonal changes is a widely accepted phenomenon. Seasonal variation is generally not systematically accounted for in healthcare settings. This study applies a ne...

    Authors: Victorine P. Muse, Davide Placido, Amalie D. Haue and Søren Brunak
    Citation: BMC Medical Informatics and Decision Making 2024 24:62
  17. Systemic lupus erythematosus (SLE) is a rare autoimmune disorder characterized by an unpredictable course of flares and remission with diverse manifestations. Lupus nephritis, one of the major disease manifest...

    Authors: Yu Deng, Jennifer A. Pacheco, Anika Ghosh, Anh Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chad Dorn, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho…
    Citation: BMC Medical Informatics and Decision Making 2024 22(Suppl 2):348

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

  18. Epilepsy is a disease characterized by an excessive discharge in neurons generally provoked without any external stimulus, known as convulsions. About 2 million people are diagnosed each year in the world. Thi...

    Authors: Sergio Alejandro Holguin-Garcia, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, Maria Alejandra Patiño-Claro, Harold Brayan Arteaga-Arteaga, Gonzalo A. Ruz, Reinel Tabares-Soto and Mario Alejandro Bravo-Ortiz
    Citation: BMC Medical Informatics and Decision Making 2024 24:60
  19. This study aims to assess the influence of early serum phosphate fluctuation on the short-term prognosis of sepsis patients.

    Authors: Yinghao Luo, Yahui Peng, Yujia Tang, Pengfei Huang, Qianqian Zhang, Chunying Wang, Weiting Zhang, Jing Zhou, Longyu Liang, YuXin Zhang, Kaijiang Yu and Changsong Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:59
  20. To gain insight into the real-life care of patients in the healthcare system, data from hospital information systems and insurance systems are required. Consequently, linking clinical data with claims data is ...

    Authors: Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr and Franziska Bathelt
    Citation: BMC Medical Informatics and Decision Making 2024 24:58
  21. The two-way partial AUC has been recently proposed as a way to directly quantify partial area under the ROC curve with simultaneous restrictions on the sensitivity and specificity ranges of diagnostic tests or...

    Authors: Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts and Larsson Omberg
    Citation: BMC Medical Informatics and Decision Making 2024 24:57
  22. Authors: Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth and Martin Graessner
    Citation: BMC Medical Informatics and Decision Making 2024 24:56

    The original article was published in BMC Medical Informatics and Decision Making 2024 24:34

  23. This study aimed to assess the performance of OpenAI’s ChatGPT in generating diagnosis based on chief complaint and cone beam computed tomography (CBCT) radiologic findings.

    Authors: Yanni Hu, Ziyang Hu, Wenjing Liu, Antian Gao, Shanhui Wen, Shu Liu and Zitong Lin
    Citation: BMC Medical Informatics and Decision Making 2024 24:55
  24. Electronic health records (EHRs) contain valuable information for clinical research; however, the sensitive nature of healthcare data presents security and confidentiality challenges. De-identification is ther...

    Authors: Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia and Guillaume Bouzillé
    Citation: BMC Medical Informatics and Decision Making 2024 24:54
  25. Timely and accurate referral of end-stage heart failure patients for advanced therapies, including heart transplants and mechanical circulatory support, plays an important role in improving patient outcomes an...

    Authors: Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson and Kayvan Najarian
    Citation: BMC Medical Informatics and Decision Making 2024 24:53
  26. Coronary artery disease (CAD) is recognized as the leading cause of death worldwide. This study analyses CAD risk factors using an artificial neural network (ANN) to predict CAD.

    Authors: Nahid Azdaki, Fatemeh Salmani, Toba Kazemi, Neda Partovi, Saeede Khosravi Bizhaem, Masomeh Noori Moghadam, Yoones Moniri, Ehsan Zarepur, Noushin Mohammadifard, Hassan Alikhasi, Fatemeh Nouri, Nizal Sarrafzadegan, Seyyed Ali Moezi and Mohammad Reza Khazdair
    Citation: BMC Medical Informatics and Decision Making 2024 24:52
  27. Diagnostic codes are commonly used as inputs for clinical prediction models, to create labels for prediction tasks, and to identify cohorts for multicenter network studies. However, the coverage rates of diagn...

    Authors: Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah and Lillian Sung
    Citation: BMC Medical Informatics and Decision Making 2024 24:51
  28. This study was conducted to address the existing drawbacks of inconvenience and high costs associated with sleep monitoring. In this research, we performed sleep staging using continuous photoplethysmography (...

    Authors: Borum Nam, Beomjun Bark, Jeyeon Lee and In Young Kim
    Citation: BMC Medical Informatics and Decision Making 2024 24:50
  29. Unsupervised clustering and outlier detection are important in medical research to understand the distributional composition of a collective of patients. A number of clustering methods exist, also for high-dim...

    Authors: Michael Selle, Magdalena Kircher, Cornelia Schwennen, Christian Visscher and Klaus Jung
    Citation: BMC Medical Informatics and Decision Making 2024 24:49
  30. Older adults face unique health challenges as they age, including physical and mental health issues and mood disorders. Negative emotions and social isolation significantly impact mental and physical health. T...

    Authors: Francisco M. Garcia-Moreno, Maria Bermudez-Edo, José Manuel Pérez-Mármol, Jose Luis Garrido and María José Rodríguez-Fórtiz
    Citation: BMC Medical Informatics and Decision Making 2024 23(Suppl 3):300

    This article is part of a Supplement: Volume 23 Supplement 3

  31. Secondary immunodeficiency can arise from various clinical conditions that include HIV infection, chronic diseases, malignancy and long-term use of immunosuppressives, which makes the suffering patients suscep...

    Authors: Qianning Liu, Yifan Chen, Peng Xie, Ying Luo, Buxuan Wang, Yuanxi Meng, Jiaqian Zhong, Jiaqi Mei and Wei Zou
    Citation: BMC Medical Informatics and Decision Making 2024 24:48
  32. This paper introduces a forensic psychiatry database established in Japan and discusses its significance and future issues. The purpose of this Database, created under the Medical Treatment and Supervision Act...

    Authors: Junko Koike, Toshiaki Kono, Koji Takeda, Yuji Yamada, Chiyo Fujii and Naotsugu Hirabayashi
    Citation: BMC Medical Informatics and Decision Making 2024 24:47
  33. In the intensive care unit (ICU) relatives play a crucial role as surrogate decision-makers, since most patients cannot communicate due to their illness and treatment. Their level of involvement in decision-ma...

    Authors: Sophie C. Renckens, H. Roeline Pasman, Zina Jorna, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, Monique A.H. Steegers, Birkitt L. ten Tusscher, Margo M.C. van Mol, Lilian C.M. Vloet and Bregje D. Onwuteaka-Philipsen
    Citation: BMC Medical Informatics and Decision Making 2024 24:46
  34. Chronic kidney disease is a prevalent global health issue, particularly in advanced stages requiring dialysis. Vascular access (VA) quality is crucial for the well-being of hemodialysis (HD) patients, ensuring...

    Authors: Sarayut Julkaew, Thakerng Wongsirichot, Kasikrit Damkliang and Pornpen Sangthawan
    Citation: BMC Medical Informatics and Decision Making 2024 24:45
  35. Physical inactivity and a sedentary lifestyle are common among people with heart failure (HF), which may lead to worse prognosis. On an already existing mHealth platform, we developed a novel tool called the A...

    Authors: Andreas Blomqvist, Maria Bäck, Leonie Klompstra, Anna Strömberg and Tiny Jaarsma
    Citation: BMC Medical Informatics and Decision Making 2024 24:44
  36. Sjögren’s disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through ear...

    Authors: Jason Mao, Grace Gomez Felix Gomez, Mei Wang, Huiping Xu and Thankam P. Thyvalikakath
    Citation: BMC Medical Informatics and Decision Making 2024 24:43
  37. The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent ...

    Authors: Simran Saggu, Hirad Daneshvar, Reza Samavi, Paulo Pires, Roberto B. Sassi, Thomas E. Doyle, Judy Zhao, Ahmad Mauluddin and Laura Duncan
    Citation: BMC Medical Informatics and Decision Making 2024 24:42
  38. In recent years, corneal refractive surgery has been widely used in clinics as an effective means to restore vision and improve the quality of life. When choosing myopia-refractive surgery, it is necessary to ...

    Authors: Jiajing Li, Yuanyuan Dai, Zhicheng Mu, Zhonghai Wang, Juan Meng, Tao Meng and Jimin Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:41
  39. In this era of big data, data harmonization is an important step to ensure reproducible, scalable, and collaborative research. Thus, terminology mapping is a necessary step to harmonize heterogeneous data. Tak...

    Authors: Xinyuan Zhang, Yixue Feng, Fang Li, Jin Ding, Danyal Tahseen, Ezekiel Hinojosa, Yong Chen and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2024 23(Suppl 4):299

    This article is part of a Supplement: Volume 23 Supplement 4

  40. Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake ...

    Authors: Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk and Mohammad R. K. Mofrad
    Citation: BMC Medical Informatics and Decision Making 2024 24:40
  41. Incarceration occurred in approximately 5% to 15% of inguinal hernia patients, with around 15% of incarcerated cases progressing to intestinal necrosis, necessitating bowel resection surgery. Patients with int...

    Authors: Jiajie Zhou and Xiaoming Yuan
    Citation: BMC Medical Informatics and Decision Making 2024 24:39
  42. Hemodialysis is a life-saving treatment used to eliminate toxins and metabolites from the body during poisoning. Despite its effectiveness, there needs to be more research on this method precisely, with most s...

    Authors: Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mohadeseh Sarbaz Bardsiri and Maral Ramezani
    Citation: BMC Medical Informatics and Decision Making 2024 24:38
  43. The most common eye infection in people with diabetes is diabetic retinopathy (DR). It might cause blurred vision or even total blindness. Therefore, it is essential to promote early detection to prevent or al...

    Authors: Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida and Xiali Hei
    Citation: BMC Medical Informatics and Decision Making 2024 24:37
  44. Chronic kidney disease-mineral and bone disorder (CKD-MBD) is characterized by bone abnormalities, vascular calcification, and some other complications. Although there are diagnostic criteria for CKD-MBD, in s...

    Authors: Yuting Li, Yukuan Lou, Man Liu, Siyi Chen, Peng Tan, Xiang Li, Huaixin Sun, Weixin Kong, Suhua Zhang and Xiang Shao
    Citation: BMC Medical Informatics and Decision Making 2024 24:36
  45. Acute kidney injury (AKI) is a clinical syndrome that occurs as a result of a dramatic decline in kidney function caused by a variety of etiological factors. Its main biomarkers, serum creatinine and urine out...

    Authors: Menglu Wang, Guangjian Liu, Zhennan Ni, Qianjun Yang, Xiaojun Li and Zhisheng Bi
    Citation: BMC Medical Informatics and Decision Making 2024 24:35
  46. Concept drift and covariate shift lead to a degradation of machine learning (ML) models. The objective of our study was to characterize sudden data drift as caused by the COVID pandemic. Furthermore, we invest...

    Authors: Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth and Martin Graessner
    Citation: BMC Medical Informatics and Decision Making 2024 24:34

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2024 24:56

  47. Smoking is a risk factor for many chronic diseases. Multiple smoking status ascertainment algorithms have been developed for population-based electronic health databases such as administrative databases and el...

    Authors: Md Ashiqul Haque, Muditha Lakmali Bodawatte Gedara, Nathan Nickel, Maxime Turgeon and Lisa M. Lix
    Citation: BMC Medical Informatics and Decision Making 2024 24:33
  48. Patients with advanced cancer who no longer have standard treatment options available may decide to participate in early phase clinical trials (i.e. experimental treatments with uncertain outcomes). Shared dec...

    Authors: Liza G. G. van Lent, Mirte van der Ham, Maja J. A. de Jonge, Eelke H. Gort, Marjolein van Mil, Jeroen Hasselaar, Carin C. D. van der Rijt, Jelle van Gurp and Julia C. M. van Weert
    Citation: BMC Medical Informatics and Decision Making 2024 24:32

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