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期刊名:Bmc medical informatics and decision making

缩写:BMC MED INFORM DECIS

ISSN:N/A

e-ISSN:1472-6947

IF/分区:3.8/Q2

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共收录本刊相关文章索引3869
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Mukul Aggarwal,Amod Kumar Tiwari,M Partha Sarathi et al. Mukul Aggarwal et al.
Background: 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...
Dongmei Tang,Haiyan Wang,Dantong Gu et al. Dongmei Tang et al.
Objective: 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 developed...
Daniel Niguse Mamo,Tesfahun Melese Yilma,Makida Fekadie et al. Daniel Niguse Mamo et al.
Background: 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...
Xuhai Zhao,Cong Jiang Xuhai Zhao
Objectives: 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...
Aurelia Sauerbrei,Angeliki Kerasidou,Federica Lucivero et al. Aurelia Sauerbrei et al.
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 relationships. However, given ...
Shugen Xiao,Fan Liu,Liyuan Yu et al. Shugen Xiao et al.
Purpose: 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 surge...
Kamran Mehrabani-Zeinabad,Awat Feizi,Masoumeh Sadeghi et al. Kamran Mehrabani-Zeinabad et al.
Background: 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...
Mariana Oliveira,Joana Seringa,Fausto José Pinto et al. Mariana Oliveira et al.
Background: 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...
Aaron C Miller,Joseph E Cavanaugh,Alan T Arakkal et al. Aaron C Miller et al.
Background: 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...
Mingxuan Jia,Jieyi Li,Jingying Zhang et al. Mingxuan Jia et al.
Background: 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 ...