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  1. Recognizing the limitations of pre-market clinical data, regulatory authorities have embraced total product lifecycle management with post-market surveillance (PMS) data to assess medical device safety and per...

    Authors: Amelia Hochreiter-Hufford, Jennifer Gatz, Amy M. Griggs, Ryan D. Schoch, Kimberly M. Birmingham, Christopher Frederick, John Price and Scott Snyder
    Citation: BMC Medical Informatics and Decision Making 2024 24:263
    Content type: Research Published on:

  2. Applying graph convolutional networks (GCN) to the classification of free-form natural language texts leveraged by graph-of-words features (TextGCN) was studied and confirmed to be an effective means of descri...

    Authors: Hong-Jun Yoon, Hilda B. Klasky, Andrew E. Blanchard, J. Blair Christian, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, Linda Coyle, Lynne Penberthy and Georgia D. Tourassi
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 5):262
    Content type: Research Published on:

    This article is part of a Supplement: Volume 24 Supplement 5

  3. Predicting mortality and relapse in children with acute lymphoblastic leukemia (ALL) is crucial for effective treatment and follow-up management. ALL is a common and deadly childhood cancer that often relapses...

    Authors: Zahra Mehrbakhsh, Roghayyeh Hassanzadeh, Nasser Behnampour, Leili Tapak, Ziba Zarrin, Salman Khazaei and Irina Dinu
    Citation: BMC Medical Informatics and Decision Making 2024 24:261
    Content type: Research Published on:

  4. Graded diagnosis and treatment, referral, and expert consultations between medical institutions all require cross domain access to patient medical information to support doctors’ treatment decisions, leading t...

    Authors: Chuanjia Yao, Rong Jiang, Bin Wu, Pinghui Li and Chenguang Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:260
    Content type: Research Published on:

  5. The population diagnosed with renal cell carcinoma, especially in Asia, represents 36.6% of global cases, with the incidence rate of renal cell carcinoma in Korea steadily increasing annually. However, treatme...

    Authors: Won Hoon Song and Meeyoung Park
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 2):259
    Content type: Research Published on:

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

  6. The European health data space promises an efficient environment for research and policy-making. However, this data space is dependent on high data quality. The implementation of electronic medical record syst...

    Authors: Florian Wurster, Christin Herrmann, Marina Beckmann, Natalia Cecon-Stabel, Kerstin Dittmer, Till Hansen, Julia Jaschke, Juliane Köberlein-Neu, Mi-Ran Okumu, Holger Pfaff, Carsten Rusniok and Ute Karbach
    Citation: BMC Medical Informatics and Decision Making 2024 24:258
    Content type: Research Published on:

  7. Elderly patients undergoing recovery from general anesthesia face a heightened risk of critical respiratory events (CREs). Despite this, there is a notable absence of effective predictive tools tailored to thi...

    Authors: Jingying Huang, Jin Yang, Haiou Qi, Xin Xu, Yiting Zhu, Miaomiao Xu and Yuting Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:257
    Content type: Research Published on:

  8. Coronary artery disease (CAD) is a major global cardiovascular health threat and the leading cause of death in many countries. The disease has a significant impact in China, where it has become the leading cau...

    Authors: Yi Lyu, Hai-Mei Wu, Hai-Xia Yan, Rui Guo, Yu-Jie Xiong, Rui Chen, Wen-Yue Huang, Jing Hong, Rong Lyu, Yi-Qin Wang and Jin Xu
    Citation: BMC Medical Informatics and Decision Making 2024 24:256
    Content type: Research Published on:

  9. The aim is to develop and deploy an automated clinical alert system to enhance patient care and streamline healthcare operations. Structured and unstructured data from multiple sources are used to generate nea...

    Authors: Mohammad Al-Agil, Stephen J. Obee, Vlad Dinu, James Teo, David Brawand, Piers E. M. Patten and Anwar Alhaq
    Citation: BMC Medical Informatics and Decision Making 2024 24:255
    Content type: Software Published on:

  10. Electronic Health Record systems (EHRs) offer significant benefits and have transformed healthcare in developed countries. However, their implementation and adoption in low- and middle-income countries (LMICs)...

    Authors: Nathan Kumasenu Mensah, Godwin Adzakpah, Jonathan Kissi, Kasim Abdulai, Hannah Taylor-Abdulai, Stephen Benyi Johnson, Christabell Opoku, Cephas Hallo and Richard Okyere Boadu
    Citation: BMC Medical Informatics and Decision Making 2024 24:254
    Content type: Research Published on:

  11. The association between red blood cell distribution width (RDW) to albumin ratio (RAR) and prognosis in patients with acute respiratory failure (ARF) admitted to the Intensive Care Unit (ICU) remains unclear. ...

    Authors: Qian He, Song Hu, Jun xie, Hui Liu and Chong Li
    Citation: BMC Medical Informatics and Decision Making 2024 24:253
    Content type: Research Published on:

  13. To analyze primary angle closure suspect (PACS) patients’ anatomical characteristics of anterior chamber configuration, and to establish artificial intelligence (AI)-aided diagnostic system for PACS screening.

    Authors: Ziwei Fu, Jinwei Xi, Zhi Ji, Ruxue Zhang, Jianping Wang, Rui Shi, Xiaoli Pu, Jingni Yu, Fang Xue, Jianrong Liu, Yanrong Wang, Hua Zhong, Jun Feng, Min Zhang and Yuan He
    Citation: BMC Medical Informatics and Decision Making 2024 24:251
    Content type: Research Published on:

  14. This study aimed to explain and categorize key ethical concerns about integrating large language models (LLMs) in healthcare, drawing particularly from the perspectives of clinicians in online discussions.

    Authors: Tala Mirzaei, Leila Amini and Pouyan Esmaeilzadeh
    Citation: BMC Medical Informatics and Decision Making 2024 24:250
    Content type: Research Published on:

  15. Sepsis poses a critical threat to hospitalized patients, particularly those in the Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival rates. Machine learning techniques...

    Authors: Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani and Muhammad E. H. Chowdhury
    Citation: BMC Medical Informatics and Decision Making 2024 24:249
    Content type: Research Published on:

  17. Artificial intelligence (AI) is increasingly used for prevention, diagnosis, monitoring, and treatment of cardiovascular diseases. Despite the potential for AI to improve care, ethical concerns and mistrust in...

    Authors: Maryam Mooghali, Austin M. Stroud, Dong Whi Yoo, Barbara A. Barry, Alyssa A. Grimshaw, Joseph S. Ross, Xuan Zhu and Jennifer E. Miller
    Citation: BMC Medical Informatics and Decision Making 2024 24:247
    Content type: Research Published on:

  18. The worldwide prevalence of type 2 diabetes mellitus in adults is experiencing a rapid increase. This study aimed to identify the factors affecting the survival of prediabetic patients using a comparison of th...

    Authors: Mehdi Sharafi, Mohammad Ali Mohsenpour, Sima Afrashteh, Mohammad Hassan Eftekhari, Azizallah Dehghan, Akram Farhadi, Aboubakr Jafarnezhad, Abdoljabbar Zakeri and Mehdi Azizmohammad Looha
    Citation: BMC Medical Informatics and Decision Making 2024 24:246
    Content type: Research Published on:

  19. The integrity of clinical research and machine learning models in healthcare heavily relies on the quality of underlying clinical laboratory data. However, the preprocessing of this data to ensure its reliabil...

    Authors: Ahmed Medhat Zayed, Arne Janssens, Pavlos Mamouris and Nicolas Delvaux
    Citation: BMC Medical Informatics and Decision Making 2024 24:245
    Content type: Research Published on:

  20. Predictive modeling based on multi-omics data, which incorporates several types of omics data for the same patients, has shown potential to outperform single-omics predictive modeling. Most research in this do...

    Authors: Yingxia Li, Tobias Herold, Ulrich Mansmann and Roman Hornung
    Citation: BMC Medical Informatics and Decision Making 2024 24:244
    Content type: Research Published on:

  21. Data quality in health information systems has a complex structure and consists of several dimensions. This research conducted for identify Common data quality elements for health information systems.

    Authors: Hossein Ghalavand, Saied Shirshahi, Alireza Rahimi, Zarrin Zarrinabadi and Fatemeh Amani
    Citation: BMC Medical Informatics and Decision Making 2024 24:243
    Content type: Systematic Review Published on:

  22. Modeling patient data, particularly electronic health records (EHR), is one of the major focuses of machine learning studies in healthcare, as these records provide clinicians with valuable information that ca...

    Authors: Tuong Minh Nguyen, Kim Leng Poh, Shu-Ling Chong and Jan Hau Lee
    Citation: BMC Medical Informatics and Decision Making 2024 24:242
    Content type: Research Published on:

  23. Successful deployment of clinical prediction models for clinical deterioration relates not only to predictive performance but to integration into the decision making process. Models may demonstrate good discri...

    Authors: Robin Blythe, Sundresan Naicker, Nicole White, Raelene Donovan, Ian A. Scott, Andrew McKelliget and Steven M McPhail
    Citation: BMC Medical Informatics and Decision Making 2024 24:241
    Content type: Research Published on:

  24. The healthcare industry has been put to test the need to manage enormous amounts of data provided by various sources, which are renowned for providing enormous quantities of heterogeneous information. The data...

    Authors: Abdullah Alharbi, Wael Alosaimi, Hashem Alyami, Bader Alouffi, Ahmed Almulihi, Mohd Nadeem, Mohd Asim Sayeed and Raees Ahmad Khan
    Citation: BMC Medical Informatics and Decision Making 2024 24:240
    Content type: Research Published on:

  25. Ontologies and terminologies serve as the backbone of knowledge representation in biomedical domains, facilitating data integration, interoperability, and semantic understanding across diverse applications. Ho...

    Authors: Licong Cui and Ankur Agrawal
    Citation: BMC Medical Informatics and Decision Making 2024 23(Suppl 1):302
    Content type: Introduction Published on:

    This article is part of a Supplement: Volume 23 Supplement 1

  27. Medical text, as part of an electronic health record, is an essential information source in healthcare. Although natural language processing (NLP) techniques for medical text are developing fast, successful tr...

    Authors: Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler and Sven Giesselbach
    Citation: BMC Medical Informatics and Decision Making 2024 24:238
    Content type: Research Published on:

  28. To investigate how successfully the classification of patients with and without dental anomalies was achieved through four experiments involving different dental anomalies.

    Authors: Merve Gonca, Busra Beser Gul and Mehmet Fatih Sert
    Citation: BMC Medical Informatics and Decision Making 2024 24:237
    Content type: Research Published on:

  29. Efforts to enhance the accuracy of protein sequence classification are of utmost importance in driving forward biological analyses and facilitating significant medical advancements. This study presents a cutti...

    Authors: Umesh Kumar Lilhore, Sarita Simiaya, Musaed Alhussein, Neetu Faujdar, Surjeet Dalal and Khursheed Aurangzeb
    Citation: BMC Medical Informatics and Decision Making 2024 24:236
    Content type: Research Published on:

  30. Systemic inflammatory response syndrome (SIRS) is a predictor of serious infectious complications, organ failure, and death in patients with severe polytrauma and is one of the reasons for delaying early total...

    Authors: Alexander Prokazyuk, Aidos Tlemissov, Marat Zhanaspayev, Sabina Aubakirova and Arman Mussabekov
    Citation: BMC Medical Informatics and Decision Making 2024 24:235
    Content type: Research Published on:

  31. Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learni...

    Authors: Ekaba Bisong, Noor Jibril, Preethi Premnath, Elsy Buligwa, George Oboh and Adanna Chukwuma
    Citation: BMC Medical Informatics and Decision Making 2024 24:234
    Content type: Research Published on:

  32. The increasing demand for remote medical care, driven by digital healthcare advancements and the COVID-19 pandemic, necessitates effective solutions tailored to patients and healthcare practitioners. Co-design...

    Authors: Guadalupe González-Montero, María Guijarro Mata-García, Carlos Moreno Martínez and Joaquín Recas Piorno
    Citation: BMC Medical Informatics and Decision Making 2024 24:233
    Content type: Research Published on:

  33. Maxillary expansion is an important treatment method for maxillary transverse hypoplasia. Different methods of maxillary expansion should be carried out depending on the midpalatal suture maturation levels, an...

    Authors: Haomin Tang, Shu Liu, Weijie Tan, Lingling Fu, Ming Yan and Hongchao Feng
    Citation: BMC Medical Informatics and Decision Making 2024 24:232
    Content type: Research Published on:

  34. Electronic health records (EHRs) are currently gaining popularity in emerging economies because they provide options for exchanging patient data, increasing operational efficiency, and improving patient outcom...

    Authors: Edith Antor, Joseph Owusu-Marfo and Jonathan Kissi
    Citation: BMC Medical Informatics and Decision Making 2024 24:231
    Content type: Research Published on:

  35. Authors: Nishchay Mehta, Baptiste Briot Ribeyre, Lilia Dimitrov, Louise J. English, Colleen Ewart, Antje Heinrich, Nikhil Joshi, Kevin J. Munro, Gail Roadknight, Luis Romao, Anne Gm Schilder, Ruth V. Spriggs, Ruth Norris, Talisa Ross and George Tilston
    Citation: BMC Medical Informatics and Decision Making 2024 24:230
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2024 24:209

  36. Patients with airway stenosis (AS) are associated with considerable morbidity and mortality after lung transplantation (LTx). This study aims to develop and validate machine learning (ML) models to predict AS ...

    Authors: Dong Tian, Yu-Jie Zuo, Hao-Ji Yan, Heng Huang, Ming-Zhao Liu, Hang Yang, Jin Zhao, Ling-Zhi Shi and Jing-Yu Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:229
    Content type: Research Published on:

  37. Sepsis, a life-threatening condition, accounts for the deaths of millions of people worldwide. Accurate prediction of sepsis outcomes is crucial for effective treatment and management. Previous studies have ut...

    Authors: Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei and Maryam Pishgar
    Citation: BMC Medical Informatics and Decision Making 2024 24:228
    Content type: Research Published on:

  38. Systematic reviews and medical guidelines are widely used in clinical practice. However, these are often not up-to-date and focussed on the average patient. We therefore aimed to evaluate a guideline add-on, T...

    Authors: Sylvia M. Brakenhoff, Thymen Theijse, Peter van Wijngaarden, Christian Trautwein, Jonathan F. Brozat, Frank Tacke, Pieter Honkoop, Thomas Vanwolleghem, Dirk Posthouwer, Stefan Zeuzem, Ulrike Mihm, Heiner Wedemeyer, Thomas Berg, Solko W. Schalm and Robert J. de Knegt
    Citation: BMC Medical Informatics and Decision Making 2024 24:227
    Content type: Research Published on:

  39. Electronic health records and other clinical information systems have crucial roles in health service delivery and are often utilised for patient care as well as health promotion and research. Government agenc...

    Authors: Anna Janssen, Kavisha Shah, Melanie Keep and Tim Shaw
    Citation: BMC Medical Informatics and Decision Making 2024 24:226
    Content type: Research Published on:

  40. Despite improvement in treatment strategies for atrial fibrillation (AF), a significant proportion of patients still experience recurrence after ablation. This study aims to propose a novel algorithm based on ...

    Authors: Yue Qiu, Hongcheng Guo, Shixin Wang, Shu Yang, Xiafeng Peng, Dongqin Xiayao, Renjie Chen, Jian Yang, Jiaheng Liu, Mingfang Li, Zhoujun Li, Hongwu Chen and Minglong Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:225
    Content type: Research Published on:

  41. To develop a machine learning-based risk prediction model for postoperative parastomal hernia (PSH) in colorectal cancer patients undergoing permanent colostomy, assisting nurses in identifying high-risk group...

    Authors: Tian Dai, Manzhen Bao, Miao Zhang, Zonggui Wang, JingJing Tang and Zeyan Liu
    Citation: BMC Medical Informatics and Decision Making 2024 24:224
    Content type: Research Published on:

  42. There is a growing demand for advanced methods to improve the understanding and prediction of illnesses. This study focuses on Sepsis, a critical response to infection, aiming to enhance early detection and mo...

    Authors: Zhijiang Yu, Negin Ashrafi, Hexin Li, Kamiar Alaei and Maryam Pishgar
    Citation: BMC Medical Informatics and Decision Making 2024 24:223
    Content type: Research Published on:

  43. Lung and colon cancers are leading contributors to cancer-related fatalities globally, distinguished by unique histopathological traits discernible through medical imaging. Effective classification of these ca...

    Authors: K. Vanitha, Mahesh T. R, S. Sathea Sree and Suresh Guluwadi
    Citation: BMC Medical Informatics and Decision Making 2024 24:222
    Content type: Research Published on:

  44. Performing data augmentation in medical named entity recognition (NER) is crucial due to the unique challenges posed by this field. Medical data is characterized by high acquisition costs, specialized terminol...

    Authors: Hongyu Chen, Li Dan, Yonghe Lu, Minghong Chen and Jinxia Zhang
    Citation: BMC Medical Informatics and Decision Making 2024 24:221
    Content type: Research Published on:

  45. The accuracy of spelling in Electronic Health Records (EHRs) is a critical factor for efficient clinical care, research, and ensuring patient safety. The Persian language, with its abundant vocabulary and comp...

    Authors: Seyed Mohammad Sadegh Dashti and Seyedeh Fatemeh Dashti
    Citation: BMC Medical Informatics and Decision Making 2024 24:220
    Content type: Research Published on:

  46. This study aimed to create and validate robust machine-learning-based prediction models for antipsychotic drug (risperidone) continuation in children and teenagers suffering from mania over one year and to dis...

    Authors: Xiangying Yang, Wenbo Huang, Li Liu, Lei Li, Song Qing, Na Huang, Jun Zeng and Kai Yang
    Citation: BMC Medical Informatics and Decision Making 2024 24:219
    Content type: Research Published on:

  47. Most Chinese joint entity and relation extraction tasks in medicine involve numerous nested entities, overlapping relations, and other challenging extraction issues. In response to these problems, some traditi...

    Authors: Dongmei Li, Yu Yang, Jinman Cui, Xianghao Meng, Jintao Qu, Zhuobin Jiang and Yufeng Zhao
    Citation: BMC Medical Informatics and Decision Making 2024 24:218
    Content type: Research Published on:

  48. Exercise stress ECG is a common diagnostic test for stable coronary artery disease, but its sensitivity and specificity need to be further improved. In this paper, we construct a machine learning model for the...

    Authors: Jiajia Zhang, Heng Zhang, Ting Wei, Pinfang Kang, Bi Tang and Hongju Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:217
    Content type: Research Published on:

  49. Intraoperative neurophysiological monitoring (IOM) plays a pivotal role in enhancing patient safety during neurosurgical procedures. This vital technique involves the continuous measurement of evoked potential...

    Authors: Patricia Romao, Stefanie Neuenschwander, Chantal Zbinden, Kathleen Seidel and Murat Sariyar
    Citation: BMC Medical Informatics and Decision Making 2024 24:216
    Content type: Research Published on:

  50. Falls in multiple sclerosis can result in numerous problems, including injuries and functional loss. Therefore, determining the factors contributing to falls in people with Multiple Sclerosis (PwMS) is crucial...

    Authors: Su Özgür, Meryem Koçaslan Toran, İsmail Toygar, Gizem Yağmur Yalçın and Mefkure Eraksoy
    Citation: BMC Medical Informatics and Decision Making 2024 24:215
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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