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Articles

Page 13 of 79

  1. 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

  3. 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

  4. 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:

  5. 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:

  6. 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:

  7. 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

  8. 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:

  9. 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:

  10. 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

  11. 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:

  12. 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:

  13. 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:

  14. 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:

  15. 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:

  16. 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:

  17. 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:

  18. 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:

  19. 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:

  20. 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:

  21. 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:

  22. 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

  23. 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:

  24. 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:

  26. 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:

  27. 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:

  28. 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:

  29. 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:

  30. 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:

  31. 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:

  32. 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:

  33. 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:

  34. 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:

  35. 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:

  36. 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:

  37. 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:

  38. Machine learning (ML) classifiers are increasingly used for predicting cardiovascular disease (CVD) and related risk factors using omics data, although these outcomes often exhibit categorical nature and class...

    Authors: Gabin Drouard, Juha Mykkänen, Jarkko Heiskanen, Joona Pohjonen, Saku Ruohonen, Katja Pahkala, Terho Lehtimäki, Xiaoling Wang, Miina Ollikainen, Samuli Ripatti, Matti Pirinen, Olli Raitakari and Jaakko Kaprio
    Citation: BMC Medical Informatics and Decision Making 2024 24:116
    Content type: Research Published on:

  40. Traditional literature based discovery is based on connecting knowledge pairs extracted from separate publications via a common mid point to derive previously unseen knowledge pairs. To avoid the over generati...

    Authors: Judita Preiss
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 2):114
    Content type: Research Published on:

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

  41. Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, especially in Magnetic resonance imaging(MRI). Current methodologies reliant on traditional image processing and...

    Authors: A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran and Suresh Guluwadi
    Citation: BMC Medical Informatics and Decision Making 2024 24:113
    Content type: Research Published on:

  42. Healthcare programs and insurance initiatives play a crucial role in ensuring that people have access to medical care. There are many benefits of healthcare insurance programs but fraud in healthcare continues...

    Authors: Zain Hamid, Fatima Khalique, Saba Mahmood, Ali Daud, Amal Bukhari and Bader Alshemaimri
    Citation: BMC Medical Informatics and Decision Making 2024 24:112
    Content type: Research Published on:

  43. In cancer research there is much interest in building and validating outcome prediction models to support treatment decisions. However, because most outcome prediction models are developed and validated withou...

    Authors: Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner and Rajesh Ranganath
    Citation: BMC Medical Informatics and Decision Making 2024 24:111
    Content type: Comment Published on:

  44. This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical recor...

    Authors: Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li, Xihua Wei, Die Zhang, Boying Liang, Wen Li, Shanfang Qin, Tengyue Yan, Qiuxia Meng…
    Citation: BMC Medical Informatics and Decision Making 2024 24:110
    Content type: Research Published on:

  45. A blockchain can be described as a distributed ledger database where, under a consensus mechanism, data are permanently stored in records, called blocks, linked together with cryptography. Each block contains ...

    Authors: Jonathan Fior
    Citation: BMC Medical Informatics and Decision Making 2024 24:109
    Content type: Software Published on:

  46. Mobile health (mHealth) may be an ideal solution for breast cancer (BC) patients in China to access weight management interventions. User retention and engagement are the main challenges faced by mHealth appli...

    Authors: Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou and Jinyu Zhang
    Citation: BMC Medical Informatics and Decision Making 2024 24:108
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2024 24:129

  47. This study aims to propose a semi-automatic method for monitoring the waiting times of follow-up examinations within the National Health System (NHS) in Italy, which is currently not possible to due the absenc...

    Authors: Vittorio Torri, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni and Francesca Ieva
    Citation: BMC Medical Informatics and Decision Making 2024 24:107
    Content type: Research Published on:

  48. This study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the abil...

    Authors: Jiaye Sun, Shijun Shao, Hua Wan, Xueqing Wu, Jiamei Feng, Qingqian Gao, Wenchao Qu and Lu Xie
    Citation: BMC Medical Informatics and Decision Making 2024 24:106
    Content type: Research Published on:

  49. The healthcare challenge driven by an aging population and rising demand is one of the most pressing issues leading to emergency department (ED) overcrowding. An emerging solution lies in machine learning’s po...

    Authors: Kuang-Ming Kuo, Yih-Lon Lin, Chao Sheng Chang and Tin Ju Kuo
    Citation: BMC Medical Informatics and Decision Making 2024 24:105
    Content type: Research Published on:

  50. The use of telemedicine technology has significantly increased in recent years, particularly during the Covid-19 pandemic. This study aimed to investigate the use of telemedicine technology for cancer patients...

    Authors: Esmaeel Toni and Haleh Ayatollahi
    Citation: BMC Medical Informatics and Decision Making 2024 24:104
    Content type: Research Published on:
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    Journal Impact Factor: 3.8 (2024)  
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BMC Medical Informatics and Decision Making

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