Skip to main content

Articles

Page 7 of 66

  1. One third (20% to 30%) of patients suffering from hypertension show increased blood pressure resistant to treatment. This resistance often has multifactorial causes, like therapeutic inertia and inappropriate ...

    Authors: Arthur Mai, Karen Voigt, Jeannine Schübel and Felix Gräßer
    Citation: BMC Medical Informatics and Decision Making 2023 23:89
  2. The extensive international research for medications and vaccines for the devastating COVID-19 pandemic requires a standard reference ontology. Among the current COVID-19 ontologies, the Coronavirus Infectious...

    Authors: Ling Zheng, Yehoshua Perl and Yongqun He
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):88

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

  3. Biomedical ontologies are representations of biomedical knowledge that provide terms with precisely defined meanings. They play a vital role in facilitating biomedical research in a cross-disciplinary manner. ...

    Authors: Xubing Hao, Rashmie Abeysinghe, Kirk Roberts and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2023 23(Suppl 1):87

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

  4. Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to few cases available for machi...

    Authors: Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley and Honghan Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:86
  5. Epidemiological research may require linkage of information from multiple organizations. This can bring two problems: (1) the information governance desirability of linkage without sharing direct identifiers, ...

    Authors: Rudolf N. Cardinal, Anna Moore, Martin Burchell and Jonathan R. Lewis
    Citation: BMC Medical Informatics and Decision Making 2023 23:85
  6. Polypharmacy (PP) is increasingly common in Iran, and contributes to the substantial burden of drug-related morbidity, increasing the potential for drug interactions and potentially inappropriate medications. ...

    Authors: Maryam Seyedtabib and Naser Kamyari
    Citation: BMC Medical Informatics and Decision Making 2023 23:84

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2023 23:112

  7. Elective egg freezing decisions are complex. We developed a Decision Aid for elective egg freezing and conducted a phase 1 study to evaluate its acceptability and utility for decision-making.

    Authors: Sherine Sandhu, Martha Hickey, Raelia Lew, Karin Hammarberg, Sabine Braat, Franca Agresta, Anna Parle, Catherine Allingham and Michelle Peate
    Citation: BMC Medical Informatics and Decision Making 2023 23:83
  8. Accurately classifying complex diseases is crucial for diagnosis and personalized treatment. Integrating multi-omics data has been demonstrated to enhance the accuracy of analyzing and classifying complex dise...

    Authors: Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen and Changliang Wu
    Citation: BMC Medical Informatics and Decision Making 2023 23:82
  9. A growing body of research suggests that the use of computerized decision support systems can better guide disease treatment and reduce the use of social and medical resources. Artificial intelligence (AI) tec...

    Authors: Tianlai Lin, Xinjue Zhang, Jianbing Gong, Rundong Tan, Weiming Li, Lijun Wang, Yingxia Pan, Xiang Xu and Junhui Gao
    Citation: BMC Medical Informatics and Decision Making 2023 23:81
  10. Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility utilization especially if it is done in real-time as a remaining surgery du...

    Authors: Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki and Hajime Nagahara
    Citation: BMC Medical Informatics and Decision Making 2023 23:80
  11. Clinical practices have demonstrated that disease treatment can be very complex. Patients with chronic diseases often suffer from more than one disease. Complex diseases are often treated with a variety of dru...

    Authors: Yifei Wang, Julia Xu, Jie Zhang, Hong Xu, Yuzhong Sun, Yuan Miao and Tiancai Wen
    Citation: BMC Medical Informatics and Decision Making 2023 23:79
  12. Magnetic resonance image (MRI) brain tumor segmentation is crucial and important in the medical field, which can help in diagnosis and prognosis, overall growth predictions, Tumor density measures, and care pl...

    Authors: Mukul Aggarwal, Amod Kumar Tiwari, M Partha Sarathi and Anchit Bijalwan
    Citation: BMC Medical Informatics and Decision Making 2023 23:78
  13. This study aimed to examine the current use of mobile phones by pregnant women and their attitudes towards the use of a variety of prenatal care services through mHealth.

    Authors: Ehsan Nabovati, Mehrdad Farzandipour, Zahra Vahedpoor, Hossein Akbari, Shima Anvari, Reihane Sharif and Farhad Fatehi
    Citation: BMC Medical Informatics and Decision Making 2023 23:77
  14. Tinnitus is a highly prevalent hearing disorder, and the burden of tinnitus diagnosis and treatment is very heavy, especially in China. In order to better benefit the majority of tinnitus patients, we develope...

    Authors: Dongmei Tang, Haiyan Wang, Dantong Gu, Lei Ye, Shan Sun and Huawei Li
    Citation: BMC Medical Informatics and Decision Making 2023 23:76
  15. Treatment with effective antiretroviral therapy (ART) reduces viral load as well as HIV-related morbidity and mortality in HIV-positive patients. Despite the expanded availability of antiretroviral therapy aro...

    Authors: Daniel Niguse Mamo, Tesfahun Melese Yilma, Makida Fekadie, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku and Agmasie Damtew Walle
    Citation: BMC Medical Informatics and Decision Making 2023 23:75
  16. This research was designed to compare the ability of different machine learning (ML) models and nomogram to predict distant metastasis in male breast cancer (MBC) patients and to interpret the optimal ML model...

    Authors: Xuhai Zhao and Cong Jiang
    Citation: BMC Medical Informatics and Decision Making 2023 23:74
  17. Artificial intelligence (AI) is often cited as a possible solution to current issues faced by healthcare systems. This includes the freeing up of time for doctors and facilitating person-centred doctor-patient...

    Authors: Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero and Nina Hallowell
    Citation: BMC Medical Informatics and Decision Making 2023 23:73
  18. Cardiovascular diseases (CVD) are the predominant cause of early death worldwide. Identification of people with a high risk of being affected by CVD is consequential in CVD prevention. This study adopts Machin...

    Authors: Kamran Mehrabani-Zeinabad, Awat Feizi, Masoumeh Sadeghi, Hamidreza Roohafza, Mohammad Talaei and Nizal Sarrafzadegan
    Citation: BMC Medical Informatics and Decision Making 2023 23:72
  19. Intraoperative blood transfusion is associated with adverse events. We aimed to establish a machine learning model to predict the probability of intraoperative blood transfusion during intracranial aneurysm su...

    Authors: Shugen Xiao, Fan Liu, Liyuan Yu, Xiaopei Li, Xihong Ye and Xingrui Gong
    Citation: BMC Medical Informatics and Decision Making 2023 23:71
  20. Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients wi...

    Authors: Mariana Oliveira, Joana Seringa, Fausto José Pinto, Roberto Henriques and Teresa Magalhães
    Citation: BMC Medical Informatics and Decision Making 2023 23:70
  21. Bronchopulmonary Dysplasia (BPD) has a high incidence and affects the health of preterm infants. Cuproptosis is a novel form of cell death, but its mechanism of action in the disease is not yet clear. Machine ...

    Authors: Mingxuan Jia, Jieyi Li, Jingying Zhang, Ningjing Wei, Yating Yin, Hui Chen, Shixing Yan and Yong Wang
    Citation: BMC Medical Informatics and Decision Making 2023 23:69
  22. The incidence of diagnostic delays is unknown for many diseases and specific healthcare settings. Many existing methods to identify diagnostic delays are resource intensive or difficult to apply to different d...

    Authors: Aaron C Miller, Joseph E Cavanaugh, Alan T Arakkal, Scott H Koeneman and Philip M Polgreen
    Citation: BMC Medical Informatics and Decision Making 2023 23:68
  23. Machine-learning models are susceptible to external influences which can result in performance deterioration. The aim of our study was to elucidate the impact of a sudden shift in covariates, like the one caus...

    Authors: D. I. Andonov, B. Ulm, M. Graessner, A. Podtschaske, M. Blobner, B. Jungwirth and S. M. Kagerbauer
    Citation: BMC Medical Informatics and Decision Making 2023 23:67
  24. The increased digitalisation of health records has resulted in increased opportunities for the secondary use of health information for advancing healthcare. Understanding how patients want their health informa...

    Authors: Rosie Dobson, Helen Wihongi and Robyn Whittaker
    Citation: BMC Medical Informatics and Decision Making 2023 23:66
  25. Despite high rates of mental health disorders among cancer patients, uptake of referral to psycho-oncology services remains low. This study aims to develop and seek clinician and patient feedback on a patient ...

    Authors: Rebecca Rayner, Joanne Shaw and Caroline Hunt
    Citation: BMC Medical Informatics and Decision Making 2023 23:65
  26. Breast cancer (BC) is one of the most common cancers among women. Since diverse features can be collected, how to stably select the powerful ones for accurate BC diagnosis remains challenging.

    Authors: Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan and Chenghao Piao
    Citation: BMC Medical Informatics and Decision Making 2023 23:64
  27. Prediction modelling increasingly becomes an important risk assessment tool in perioperative systems approaches, e.g. in complex patients with open abdomen treatment for peritonitis. In this population, combin...

    Authors: Markus Huber, Patrick Schober, Sven Petersen and Markus M. Luedi
    Citation: BMC Medical Informatics and Decision Making 2023 23:63
  28. With the rapid growth of healthcare services, health insurance fraud detection has become an important measure to ensure efficient use of public funds. Traditional fraud detection methods have tended to focus ...

    Authors: Jiangtao Lu, Kaibiao Lin, Ruicong Chen, Min Lin, Xin Chen and Ping Lu
    Citation: BMC Medical Informatics and Decision Making 2023 23:62
  29. The process of initiating and completing clinical drug trials in hospital settings is highly complex, with numerous institutional, technical, and record-keeping barriers. In this study, we independently develo...

    Authors: Liang Shen, You Zhai, AXiang Pan, Qingwei Zhao, Min Zhou and Jian Liu
    Citation: BMC Medical Informatics and Decision Making 2023 23:61
  30. Biguanides and sulfonylurea are two classes of anti-diabetic medications that have commonly been prescribed all around the world. Diagnosis of biguanide and sulfonylurea exposures is based on history taking an...

    Authors: Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh and Christopher Hoyte
    Citation: BMC Medical Informatics and Decision Making 2023 23:60
  31. We aimed to develop a robust framework to model the complex association between clinical features and traumatic brain injury (TBI) risk in children under age two, and identify significant features to derive cl...

    Authors: Baiming Zou, Xinlei Mi, Elizabeth Stone and Fei Zou
    Citation: BMC Medical Informatics and Decision Making 2023 23:58
  32. Canada’s 24-Hour Movement Guidelines for Adults have shifted the focus from considering movement behaviours (i.e., physical activity, sedentary behaviour, and sleep) separately to a 24-h paradigm, which consid...

    Authors: Tamara L. Morgan, Jensen Pletch, Emma Faught, Michelle S. Fortier, Mary Kate Gazendam, Kelly Howse, Rahul Jain, Kirstin N. Lane, Kaleigh Maclaren, Taylor McFadden, Jeanette C. Prorok, Zachary J. Weston and Jennifer R. Tomasone
    Citation: BMC Medical Informatics and Decision Making 2023 23:57
  33. This study aimed to develop a prediction model for transferring patients to an inappropriate hospital for suspected cardiovascular emergency diseases at the pre-hospital stage, using variables obtained from an...

    Authors: Ji Hoon Kim, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim and Hyuk-Jae Chang
    Citation: BMC Medical Informatics and Decision Making 2023 23:56
  34. With the rapid development of the medical industry and the gradual increase in people’s awareness of their health, the use of the Internet for medical question and answer, to obtain more accurate medical answe...

    Authors: Qing Li and Song He
    Citation: BMC Medical Informatics and Decision Making 2023 23:55
  35. Gastric cancer is the most common malignant tumor worldwide and a leading cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes. Survivability prediction may help select the bes...

    Authors: Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2023 23:54
  36. There is a strong association between gastric cancer and inflammatory factors. Many studies have shown that machine learning can predict cancer patients’ prognosis. However, there has been no study on predicti...

    Authors: Cheng-Mao Zhou, Ying Wang, Jian-Jun Yang and Yu Zhu
    Citation: BMC Medical Informatics and Decision Making 2023 23:53
  37. The tracking and documentation of procedures in gastrointestinal endoscopy including therapeutic interventions is an essential but challenging process. The University of Alberta has developed a smartphone app ...

    Authors: Sergio Zepeda-Gómez, Andrea Dávila-Cervantes, Aldo J. Montaño-Loza, David Yang, Daniel C. Baumgart, Karen Kroeker and Brendan P. Halloran
    Citation: BMC Medical Informatics and Decision Making 2023 23:52
  38. Clinical pathways are one of the main tools to manage the health care’s quality and concerned with the standardization of care processes. They have been used to help frontline healthcare workers by presenting ...

    Authors: Geletaw Sahle Tegenaw, Demisew Amenu, Girum Ketema, Frank Verbeke, Jan Cornelis and Bart Jansen
    Citation: BMC Medical Informatics and Decision Making 2023 23:51
  39. Morphological identification of peripheral leukocytes is a complex and time-consuming task, having especially high requirements for personnel expertise. This study is to investigate the role of artificial inte...

    Authors: Ying Xing, Xuekai Liu, Juhua Dai, Xiaoxing Ge, Qingchen Wang, Ziyu Hu, Zhicheng Wu, Xuehui Zeng, Dan Xu and Chenxue Qu
    Citation: BMC Medical Informatics and Decision Making 2023 23:50
  40. The incidence of stroke is a challenge in China, as stroke imposes a heavy burden on families, national health services, social services, and the economy. The length of hospital stay (LOS) is an essential indi...

    Authors: Rui Chen, Shengfa Zhang, Jie Li, Dongwei Guo, Weijun Zhang, Xiaoying Wang, Donghua Tian, Zhiyong Qu and Xiaohua Wang
    Citation: BMC Medical Informatics and Decision Making 2023 23:49
  41. Outbreaks of infectious diseases are a complex phenomenon with many interacting factors. Regional health authorities need prognostic modeling of the epidemic process.

    Authors: Andrey Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya and Nadezhda Vyatkina
    Citation: BMC Medical Informatics and Decision Making 2023 23:48
  42. The World Health Organization’s (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified thr...

    Authors: Alan J. Forster, Christopher G. Chute, Harold Alan Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2023 21(Suppl 6):383

    This article is part of a Supplement: Volume 21 Supplement 6

  43. COVID-19 is an ongoing global health crisis with prevention and treatment recommendations rapidly changing. Rapid response telephone triage and advice services are critical in providing timely care during pand...

    Authors: Jyu-Lin Chen, Chen-Xi Lin, Mijung Park, Jerry John Nutor, Rosalind de Lisser, Thomas J. Hoffmann and Hannah J. Kim
    Citation: BMC Medical Informatics and Decision Making 2023 23:47
  44. Early prognostication of patients hospitalized with COVID-19 who may require mechanical ventilation and have worse outcomes within 30 days of admission is useful for delivering appropriate clinical care and op...

    Authors: Ganesh Raman, Bilal Ashraf, Yusuf Kemal Demir, Corey D. Kershaw, Sreekanth Cheruku, Murat Atis, Ahsen Atis, Mustafa Atar, Weina Chen, Ibrahim Ibrahim, Taha Bat and Mutlu Mete
    Citation: BMC Medical Informatics and Decision Making 2023 23:46
  45. Graph databases enable efficient storage of heterogeneous, highly-interlinked data, such as clinical data. Subsequently, researchers can extract relevant features from these datasets and apply machine learning...

    Authors: Rahul Mondal, Minh Dung Do, Nasim Uddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake and Robert Heyer
    Citation: BMC Medical Informatics and Decision Making 2023 22(Suppl 6):347

    This article is part of a Supplement: Volume 22 Supplement 6

  46. Automatic speech and language assessment methods (SLAMs) can help clinicians assess speech and language impairments associated with dementia in older adults. The basis of any automatic SLAMs is a machine learn...

    Authors: Mahboobeh (Mah) Parsapoor (Parsa), Muhammad Raisul Alam and Alex Mihailidis
    Citation: BMC Medical Informatics and Decision Making 2023 23:45
  47. Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a rich...

    Authors: Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca G. Mishuris and Ioannis Ch. Paschalidis
    Citation: BMC Medical Informatics and Decision Making 2023 23:44
  48. To evaluate the effects of a shared decision making (SDM) intervention for older adults with multiple chronic conditions (MCCs).

    Authors: Ruth E. Pel-Littel, Bianca M. Buurman, Marjolein H. van de Pol, Jos W. R. Twisk, Linda R. Tulner, Mirella M. Minkman, Wilma J. M. Scholte op Reimer and Julia C. M. van Weert
    Citation: BMC Medical Informatics and Decision Making 2023 23:42

Annual Journal Metrics

  • 2022 Citation Impact
    3.5 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.384 - SNIP (Source Normalized Impact per Paper)
    0.940 - SJR (SCImago Journal Rank)

    2023 Speed
    37 days submission to first editorial decision for all manuscripts (Median)
    213 days submission to accept (Median)

    2023 Usage 
    2,588,758 downloads
    2,443 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Sign up for article alerts and news from this journal