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  1. Chronic kidney disease (CKD) is a significant public health concern, and patient self-management is an effective approach to manage the condition. Mobile applications have been used as tools to assist in impro...

    Authors: Yu Shi, Shi Pu, Hongmei Peng, Jing Zhang, Yang Li, Xia Huang, Caiping Song and Yu Luo
    Citation: BMC Medical Informatics and Decision Making 2024 24:163
    Content type: Research Published on:

  2. Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained language models (PLMs). These models consist of large amounts of parameters that are tuned using vast amounts of tra...

    Authors: Thomas Vakili, Aron Henriksson and Hercules Dalianis
    Citation: BMC Medical Informatics and Decision Making 2024 24:162
    Content type: Research Published on:

  3. This study aimed to develop a higher performance nomogram based on explainable machine learning methods, and to predict the risk of death of stroke patients within 30 days based on clinical characteristics on ...

    Authors: Haoran Chen, Fengchun Yang, Yifan Duan, Lin Yang and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2024 24:161
    Content type: Research Published on:

  4. Liver disease causes two million deaths annually, accounting for 4% of all deaths globally. Prediction or early detection of the disease via machine learning algorithms on large clinical data have become promi...

    Authors: Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik and Zhongming Zhao
    Citation: BMC Medical Informatics and Decision Making 2024 24:160
    Content type: Research Published on:

  5. Compared with the time-consuming and labor-intensive for biological validation in vitro or in vivo, the computational models can provide high-quality and purposeful candidates in an instant. Existing computati...

    Authors: Yi Zhang, ZhenMei Wang, Hanyan Wei and Min Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:159
    Content type: Research Published on:

  6. Allogeneic Blood transfusion is common in hip surgery but is associated with increased morbidity. Accurate prediction of transfusion risk is necessary for minimizing blood product waste and preoperative decisi...

    Authors: Han Zang, Ai Hu, Xuanqi Xu, He Ren and Li Xu
    Citation: BMC Medical Informatics and Decision Making 2024 24:158
    Content type: Research Published on:

  7. Learning of burn patient assessment is very important, but heart-breaking for nursing students. This study aimed to compare the effects of feedback lecture method with a serious game (BAM Game) on nursing stud...

    Authors: Amirreza Nasirzade, Kolsoum Deldar, Razieh Froutan and Mohammad Taghi Shakeri
    Citation: BMC Medical Informatics and Decision Making 2024 24:157
    Content type: Research Published on:

  8. In the context of healthcare centered on the patient, Patient Decision Aids (PtDAs) acts as an essential instrument, promoting shared decision-making (SDM). Considering the prevalent occurrence of myopia, the ...

    Authors: Hanieh Delshad Aghdam, Fatemeh Zarei and Seyed Farzad Mohammadi
    Citation: BMC Medical Informatics and Decision Making 2024 24:156
    Content type: Research Published on:

  9. Diagnosis can often be recorded in electronic medical records (EMRs) as free-text or using a term with a diagnosis code. Researchers, governments, and agencies, including organisations that deliver incentivise...

    Authors: Rachel Canaway, Christine Chidgey, Christine Mary Hallinan, Daniel Capurro and Douglas IR Boyle
    Citation: BMC Medical Informatics and Decision Making 2024 24:155
    Content type: Research Published on:

  10. Extracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial for positive mental health improvements and policy enhancements. The in...

    Authors: Oshin Miranda, Sophie Marie Kiehl, Xiguang Qi, M. Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, Yanshan Wang and LiRong Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:154
    Content type: Research Published on:

  11. The increased application of Internet of Things (IoT) in healthcare, has fueled concerns regarding the security and privacy of patient data. Lightweight Cryptography (LWC) algorithms can be seen as a potential...

    Authors: Tserendorj Chinbat, Samaneh Madanian, David Airehrour and Farkhondeh Hassandoust
    Citation: BMC Medical Informatics and Decision Making 2024 24:153
    Content type: Research Published on:

  12. Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains. The assessment of dataset quality stands as a pivotal precursor to the suc...

    Authors: Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au and Vijaya B. Kolachalama
    Citation: BMC Medical Informatics and Decision Making 2024 24:152
    Content type: Software Published on:

  13. BERT models have seen widespread use on unstructured text within the clinical domain. However, little to no research has been conducted into classifying unstructured clinical notes on the basis of patient life...

    Authors: Hielke Muizelaar, Marcel Haas, Koert van Dortmont, Peter van der Putten and Marco Spruit
    Citation: BMC Medical Informatics and Decision Making 2024 24:151
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2024 24:169

  15. Epilepsy, a chronic brain disorder characterized by abnormal brain activity that causes seizures and other symptoms, is typically treated using anti-epileptic drugs (AEDs) as the first-line therapy. However, d...

    Authors: Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim and Dokyun Na
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 2):149
    Content type: Research Published on:

    This article is part of a Supplement: Volume 24 Supplement 2

  16. This study aimed to create a method for promptly predicting acute kidney injury (AKI) in intensive care patients by applying interpretable, explainable artificial intelligence techniques.

    Authors: Xunliang Li, Peng Wang, Yuke Zhu, Wenman Zhao, Haifeng Pan and Deguang Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:148
    Content type: Research Published on:

  17. Securing adequate data privacy is critical for the productive utilization of data. De-identification, involving masking or replacing specific values in a dataset, could damage the dataset’s utility. However, f...

    Authors: Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, Xiaoqian Jiang and Ju Han Kim
    Citation: BMC Medical Informatics and Decision Making 2024 24:147
    Content type: Research Published on:

  18. Video consultations between hospital-based neurologists and Emergency Medical Services (EMS) have potential to increase precision of decisions regarding stroke patient assessment, management and transport. In ...

    Authors: Stefan Candefjord, Magnus Andersson Hagiwara, Bengt Arne Sjöqvist, Jan-Erik Karlsson, Annika Nordanstig, Lars Rosengren and Hanna Maurin Söderholm
    Citation: BMC Medical Informatics and Decision Making 2024 24:146
    Content type: Research Published on:

  19. Nasal polyps and inverted papillomas often look similar. Clinically, it is difficult to distinguish the masses by endoscopic examination. Therefore, in this study, we aimed to develop a deep learning algorithm...

    Authors: Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Tae Hoon Lee, Yongwon Cho and Tae Hoon Kim
    Citation: BMC Medical Informatics and Decision Making 2024 24:145
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2024 24:150

  20. Diabetes is a chronic condition that can result in many long-term physiological, metabolic, and neurological complications. Therefore, early detection of diabetes would help to determine a proper diagnosis and...

    Authors: Belqes Alsadi, Saleh Musleh, Hamada R. H. Al-Absi, Mahmoud Refaee, Rizwan Qureshi, Nady El Hajj and Tanvir Alam
    Citation: BMC Medical Informatics and Decision Making 2024 24:144
    Content type: Research Published on:

  21. Post-ERCP pancreatitis is one of the most common adverse events in ERCP-related procedures. The purpose of this study is to construct an online model to predict the risk of post-ERCP pancreatitis in non-elderl...

    Authors: Chaoqun Yan, Jinxin Zheng, Haizheng Tang, Changjian Fang, Jiang Zhu, Hu Feng, Hao Huang, Yilin Su, Gang Wang and Cheng Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:143
    Content type: Research Published on:

  22. Alzheimer’s Disease (AD) is a progressive memory disorder that causes irreversible cognitive decline. Given that there is currently no cure, it is critical to detect AD in its early stage during the disease pr...

    Authors: Hoon Seo, Lodewijk Brand and Hua Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 1):61
    Content type: Research Published on:

    This article is part of a Supplement: Volume 24 Supplement 1

  23. Lung cancer remains a leading cause of cancer-related mortality globally, with prognosis significantly dependent on early-stage detection. Traditional diagnostic methods, though effective, often face challenge...

    Authors: M. Mohamed Musthafa, I. Manimozhi, T. R. Mahesh and Suresh Guluwadi
    Citation: BMC Medical Informatics and Decision Making 2024 24:142
    Content type: Research Published on:

  24. Acute pulmonary thromboembolism (PTE) is a common cardiovascular disease and recognizing low prognosis risk patients with PTE accurately is significant for clinical treatment. This study evaluated the value of...

    Authors: Jun Zhou, Xin Wang, Yiyao Li, Yuqing Yang and Juhong Shi
    Citation: BMC Medical Informatics and Decision Making 2024 24:141
    Content type: Research Published on:

  25. Improving shared decision-making using a treat-to-target approach, including the use of clinical outcome measures, is important to providing high quality care for rheumatoid arthritis (RA). We developed an Ele...

    Authors: Catherine Nasrallah, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Mary C. Nakamura, Andrew Gross, Mehrdad Matloubian, Judith Ashouri, Jinoos Yazdany and Gabriela Schmajuk
    Citation: BMC Medical Informatics and Decision Making 2024 24:140
    Content type: Research Published on:

  26. Few studies have been conducted on the usage of telehealth focusing on consultations between patients’ families and physicians. This study aimed to identify the usage and limitations of online medical consulta...

    Authors: Tetsuro Hayashi and Seiji Bito
    Citation: BMC Medical Informatics and Decision Making 2024 24:139
    Content type: Research Published on:

  27. Suicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML)...

    Authors: Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, Mohammad Mehdi Ghaemi, Sadrieh Hajesmaeel-Gohari, Rohaneh Rahimisadegh, Kambiz Bahaadinbeigy, Fahimeh Ghasemian and Hassan Shirvani
    Citation: BMC Medical Informatics and Decision Making 2024 24:138
    Content type: Research Published on:

  28. Modeling causality through graphs, referred to as causal graph learning, offers an appropriate description of the dynamics of causality. The majority of current machine learning models in clinical decision sup...

    Authors: Hang Wu, Wenqi Shi and May D. Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:137
    Content type: Research Published on:

  29. The selection of data elements is a decisive task within the development of a health registry. Having the right metadata is crucial for answering the particular research questions. Furthermore, the set of data...

    Authors: Sonja Harkener, Ekkehart Jenetzky, Rüdiger Rupp, Jennifer Dell, Christoph Engel, Maximilian Ferry von Bargen, Robert Finger, Maximilian Glienke, Carsten Heinz, Patrick Jersch, David Martin, Rita Schmutzler, Martin Schönthaler, Barbara Suwelack, Jeannine Wegner and Jürgen Stausberg
    Citation: BMC Medical Informatics and Decision Making 2024 24:136
    Content type: Research Published on:

  30. Stroke frequently gives rise to incapacitating motor impairments in the upper limb. Virtual reality (VR) rehabilitation has exhibited potential for augmenting upper extremity recovery; nonetheless, the optimal...

    Authors: Mohsen Soleimani, Marjan Ghazisaeedi and Soroush Heydari
    Citation: BMC Medical Informatics and Decision Making 2024 24:135
    Content type: Systematic Review Published on:

  31. There are approximately 8,000 different rare diseases that affect roughly 400 million people worldwide. Many of them suffer from delayed diagnosis. Ciliopathies are rare monogenic disorders characterized by a ...

    Authors: Carole Faviez, Xiaoyi Chen, Nicolas Garcelon, Mohamad Zaidan, Katy Billot, Friederike Petzold, Hassan Faour, Maxime Douillet, Jean-Michel Rozet, Valérie Cormier-Daire, Tania Attié-Bitach, Stanislas Lyonnet, Sophie Saunier and Anita Burgun
    Citation: BMC Medical Informatics and Decision Making 2024 24:134
    Content type: Research Published on:

  32. The Australian healthcare sector is a complex mix of government departments, associations, providers, professionals, and consumers. Cybersecurity attacks, which have recently increased, challenge the sector in...

    Authors: Wendy Burke, Andrew Stranieri, Taiwo Oseni and Iqbal Gondal
    Citation: BMC Medical Informatics and Decision Making 2024 24:133
    Content type: Research Published on:

  33. The COVID-19 pandemic has dramatically impacted communities worldwide, particularly in developing countries. To successfully control the pandemic, correct information and more than 80% vaccine coverage in a po...

    Authors: Johnson Nyeko Oloya, Nelson Onira Alema, Christopher Okot, Emmanuel Olal, Eric Nzirakaindi Ikoona, Freddy Wathum Drinkwater Oyat, Baguma Steven, Denish Omoya Ochula, Patrick Odong Olwedo, Francis Pebalo Pebolo, Pamela Okot Atim, Godfrey Smart Okot, Ritah Nantale, Judith Aloyo and David Lagoro Kitara
    Citation: BMC Medical Informatics and Decision Making 2024 24:132
    Content type: Research Published on:

  34. One significant challenge in addressing the coronavirus disease 2019 (COVID-19) pandemic is to grasp a comprehensive picture of its infectious mechanisms. We urgently need a consistent framework to capture the...

    Authors: Yuki Yamagata, Tatsuya Kushida, Shuichi Onami and Hiroshi Masuya
    Citation: BMC Medical Informatics and Decision Making 2024 23(Suppl 4):301
    Content type: RESEARCH Published on:

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

  35. Open globe injuries (OGI) represent a main preventable reason for blindness and visual impairment, particularly in developing countries. The goal of this study is evaluating key variables affecting the prognos...

    Authors: Mehrdad Motamed Shariati, Saeid Eslami, Nasser Shoeibi, Alireza Eslampoor, Mohammadreza Sedaghat, Hamid Gharaei, Siamak Zarei-Ghanavati, Akbar Derakhshan, Majid Abrishami, Mojtaba Abrishami, Seyedeh Maryam Hosseini, Saeed Shokuhi Rad, Mohammadreza Ansari Astaneh and Raheleh Mahboub Farimani
    Citation: BMC Medical Informatics and Decision Making 2024 24:131
    Content type: Research Published on:

  36. In Indonesia, the adoption of telepharmacy was propelled by the COVID-19 pandemic, prompting the need for a user-friendly application to support both the general population and pharmacists in accessing healthc...

    Authors: Sofa D. Alfian, Jihan A. Sania, Dzulfah Q. Aini, Qisty A. Khoiry, Meliana Griselda, Yudisia Ausi, Neily Zakiyah, Irma M. Puspitasari, Auliya A. Suwantika, Mariska Mahfud, Saktian Aji, Rizky Abdulah and Angelos P. Kassianos
    Citation: BMC Medical Informatics and Decision Making 2024 24:130
    Content type: Research Published on:

  38. Accurate segmentation of critical anatomical structures in fetal four-chamber view images is essential for the early detection of congenital heart defects. Current prenatal screening methods rely on manual mea...

    Authors: Bocheng Liang, Fengfeng Peng, Dandan Luo, Qing Zeng, Huaxuan Wen, Bowen Zheng, Zhiying Zou, Liting An, Huiying Wen, Xin Wen, Yimei Liao, Ying Yuan and Shengli Li
    Citation: BMC Medical Informatics and Decision Making 2024 24:128
    Content type: Research Published on:

  39. Medical records are a valuable source for understanding patient health conditions. Doctors often use these records to assess health without solely depending on time-consuming and complex examinations. However,...

    Authors: Yun-Chien Tseng, Chuan-Wei Kuo, Wen-Chih Peng and Chih-Chieh Hung
    Citation: BMC Medical Informatics and Decision Making 2024 24:127
    Content type: Research Published on:

  40. Chest X-ray imaging based abnormality localization, essential in diagnosing various diseases, faces significant clinical challenges due to complex interpretations and the growing workload of radiologists. Whil...

    Authors: Haoyue Sheng, Linrui Ma, Jean-François Samson and Dianbo Liu
    Citation: BMC Medical Informatics and Decision Making 2024 24:126
    Content type: Research Published on:

  41. The Longshi Scale is a pictorial assessment tool for evaluating activities of daily living (ADL) in patients with stroke. The paper-based version presents challenges; thus, the WeChat version was created to en...

    Authors: Kaiwen Xue, Weihao Li, Fang Liu, Xiangxiang Liu, John Wong, Mingchao Zhou, Chunli Cai, Jianjun Long, Jiehui Li, Zeyu Zhang, Weilin Hou, Guohui Nie and Yulong Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:125
    Content type: Research Published on:

  42. Spatial molecular profiling depends on accurate cell segmentation. Identification and quantitation of individual cells in dense tissues, e.g. highly inflamed tissue caused by viral infection or immune reaction...

    Authors: Sunwoo Han, Khamsone Phasouk, Jia Zhu and Youyi Fong
    Citation: BMC Medical Informatics and Decision Making 2024 24:124
    Content type: Research Published on:

  43. Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2–5 days conventionally to return the re...

    Authors: Qiqiang Liang, Shuo Ding, Juan Chen, Xinyi Chen, Yongshan Xu, Zhijiang Xu and Man Huang
    Citation: BMC Medical Informatics and Decision Making 2024 24:123
    Content type: Research Published on:

  44. Drug repurposing speeds up the development of new treatments, being less costly, risky, and time consuming than de novo drug discovery. There are numerous biological elements that contribute to the development...

    Authors: Natalia García Sánchez, Esther Ugarte Carro, Lucía Prieto-Santamaría and Alejandro Rodríguez-González
    Citation: BMC Medical Informatics and Decision Making 2024 24:122
    Content type: Research Published on:

  45. Hospitals and healthcare providers should assess and compare the quality of care given to patients and based on this improve the care. In the Netherlands, hospitals provide data to national quality registries,...

    Authors: Ananya Choudhury, Esther Janssen, Bart C. Bongers, Nico L. U. van Meeteren, Andre Dekker and Johan van Soest
    Citation: BMC Medical Informatics and Decision Making 2024 24:121
    Content type: Research Published on:

  46. In recent times, time-to-event data such as time to failure or death is routinely collected alongside high-throughput covariates. These high-dimensional bioinformatics data often challenge classical survival m...

    Authors: Naseem Asghar, Umair Khalil, Basheer Ahmad, Huda M. Alshanbari, Muhammad Hamraz, Bakhtiyar Ahmad and Dost Muhammad Khan
    Citation: BMC Medical Informatics and Decision Making 2024 24:120
    Content type: Research Published on:

  47. The goal is to enhance an automated sleep staging system's performance by leveraging the diverse signals captured through multi-modal polysomnography recordings. Three modalities of PSG signals, namely electro...

    Authors: Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi and Akash Kumar Bhoi
    Citation: BMC Medical Informatics and Decision Making 2024 24:119
    Content type: Research Published on:

  48. Pneumonia poses a major global health challenge, necessitating accurate severity assessment tools. However, conventional scoring systems such as CURB-65 have inherent limitations. Machine learning (ML) offers ...

    Authors: Yin-Ting Lin, Ko-Ming Lin, Kai-Hsiang Wu and Frank Lien
    Citation: BMC Medical Informatics and Decision Making 2024 24:118
    Content type: Research Published on:

  49. Irregular time series (ITS) are common in healthcare as patient data is recorded in an electronic health record (EHR) system as per clinical guidelines/requirements but not for research and depends on a patien...

    Authors: Vinod Kumar Chauhan, Anshul Thakur, Odhran O’Donoghue, Omid Rohanian, Soheila Molaei and David A. Clifton
    Citation: BMC Medical Informatics and Decision Making 2024 24:117
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

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