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  1. Electrocardiogram (ECG) signals are very important for heart disease diagnosis. In this paper, a novel early prediction method based on Nested Long Short-Term Memory (Nested LSTM) is developed for sudden cardi...

    Authors: Ke Wang, Kai Zhang, Banteng Liu, Wei Chen and Meng Han
    Citation: BMC Medical Informatics and Decision Making 2024 24:94
  2. Proteomic-based analysis is used to identify biomarkers in blood samples and tissues. Data produced by devices such as mass spectrometry requires platforms to identify and quantify proteins (or peptides). Clin...

    Authors: Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri and Giuseppe Tradigo
    Citation: BMC Medical Informatics and Decision Making 2024 24:93
  3. Emerging from the convergence of digital twin technology and the metaverse, consumer health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with healthcare Big Data has ushered i...

    Authors: Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni and Haewon Byeon
    Citation: BMC Medical Informatics and Decision Making 2024 24:92
  4. Living in poverty, especially in low-income countries, are more affected by cardiovascular disease. Unlike the developed countries, it remains a significant cause of preventable heart disease in the Sub-Sahara...

    Authors: Melaku Tadege, Awoke Seyoum Tegegne and Zelalem G. Dessie
    Citation: BMC Medical Informatics and Decision Making 2024 24:91
  5. Class imbalance remains a large problem in high-throughput omics analyses, causing bias towards the over-represented class when training machine learning-based classifiers. Oversampling is a common method used...

    Authors: Samuel Cusworth, Georgios V. Gkoutos and Animesh Acharjee
    Citation: BMC Medical Informatics and Decision Making 2024 24:90
  6. 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 24:89

    The original article was published in BMC Medical Informatics and Decision Making 2024 24:69

  7. The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-fr...

    Authors: Mehri Momeni, Marziyeh Afkanpour, Saleh Rakhshani, Amin Mehrabian and Hamed Tabesh
    Citation: BMC Medical Informatics and Decision Making 2024 24:88
  8. The aim of this study was to assess social preferences for two different advanced digital health technologies and investigate the contextual dependency of the preferences.

    Authors: Áron Hölgyesi, Zsombor Zrubka, László Gulácsi, Petra Baji, Tamás Haidegger, Miklós Kozlovszky, Miklós Weszl, Levente Kovács and Márta Péntek
    Citation: BMC Medical Informatics and Decision Making 2024 24:87
  9. Under-five mortality remains a significant public health issue in developing countries. This study aimed to assess the effectiveness of various machine learning algorithms in predicting under-five mortality in...

    Authors: Oduse Samuel, Temesgen Zewotir and Delia North
    Citation: BMC Medical Informatics and Decision Making 2024 24:86
  10. Patients with renal cell carcinoma (RCC) have an elevated risk of chronic kidney disease (CKD) following nephrectomy. Therefore, continuous monitoring and subsequent interventions are necessary. It is recommen...

    Authors: Seol Whan Oh, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seok Ho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha and Sung-Hoo Hong
    Citation: BMC Medical Informatics and Decision Making 2024 24:85
  11. Infective endocarditis (IE) is a disease with high in-hospital mortality. The objective of the present investigation was to develop and validate a nomogram that precisely anticipates in-hospital mortality in I...

    Authors: Dongyang Che, Jinlin Hu, Jialiang Zhu, Jun Lyu and Xiaoshen Zhang
    Citation: BMC Medical Informatics and Decision Making 2024 24:84
  12. Emergency Department (ED) overcrowding is a global concern, with tools like NEDOCS, READI, and Work Score used as predictors. These tools aid healthcare professionals in identifying overcrowding and preventing...

    Authors: Sukumpat Na Nan, Borwon Wittayachamnankul, Wachira Wongtanasarasin, Theerapon Tangsuwanaruk, Krongkarn Sutham and Orawit Thinnukool
    Citation: BMC Medical Informatics and Decision Making 2024 24:83
  13. Benign paroxysmal positional vertigo (BPPV) is a prevalent form of vertigo that necessitates a skilled physician to diagnose by observing the nystagmus and vertigo resulting from specific changes in the patien...

    Authors: Hang Lu, Yuxing Mao, Jinsen Li and Lin Zhu
    Citation: BMC Medical Informatics and Decision Making 2024 24:82
  14. Effective communication and information delivery enhance doctor–patient relationships, improves adherence to treatment, reduces work burden, and supports decision-making. The study developed a head and neck ca...

    Authors: Yoo-Ri Koo, Eun-Jeong Kim and Inn-Chul Nam
    Citation: BMC Medical Informatics and Decision Making 2024 24:81
  15. Prognosticating Amyotrophic Lateral Sclerosis (ALS) presents a formidable challenge due to patients exhibiting different onset sites, progression rates, and survival times. In this study, we have developed and...

    Authors: Fabiano Papaiz, Mario Emílio Teixeira Dourado Jr., Ricardo Alexsandro de Medeiros Valentim, Rafael Pinto, Antônio Higor Freire de Morais and Joel Perdiz Arrais
    Citation: BMC Medical Informatics and Decision Making 2024 24:80
  16. Existing traditional cognitive screening tools for dementia have various limitations, including overreliance on tests assessing verbal memory and, to a lesser extent, on some aspects of executive functioning. ...

    Authors: Joyce Siette, Jonathan Guion, Kiran Ijaz, Paul Strutt, Meredith Porte, Greg Savage and Deborah Richards
    Citation: BMC Medical Informatics and Decision Making 2024 24:79
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2024 24:89

  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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

  34. 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
  35. 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
  36. 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
  37. 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
  38. 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

  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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

  47. 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
  48. 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
  49. 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

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