Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score [0.03%]
结合CURB-65评分的血常规和分类白细胞计数的新型机器学习方法在急诊科改善肺炎预后中的应用研究
Yin-Ting Lin,Ko-Ming Lin,Kai-Hsiang Wu et al.
Yin-Ting Lin et al.
Background: 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 ...
Continuous patient state attention model for addressing irregularity in electronic health records [0.03%]
用于解决电子健康记录不规则性的连续患者状态关注模型
Vinod Kumar Chauhan,Anshul Thakur,Odhran O&#x;Donoghue et al.
Vinod Kumar Chauhan et al.
Background: 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...
A hybrid framework for glaucoma detection through federated machine learning and deep learning models [0.03%]
基于联邦机器学习和深度学习模型的青光眼检测混合框架
Abeer Aljohani,Rua Y Aburasain
Abeer Aljohani
Background: Glaucoma, the second leading cause of global blindness, demands timely detection due to its asymptomatic progression. This paper introduces an advanced computerized system, integrates Machine Learning (ML), co...
Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data [0.03%]
基于组学数据预测心血管疾病风险因素的机器学习策略探索
Gabin Drouard,Juha Mykkänen,Jarkko Heiskanen et al.
Gabin Drouard et al.
Background: 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...
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering [0.03%]
一种基于AI驱动的利用Equalization和Homomorphic Filtering从MRI图像中利用EfficientNetB2进行增强脑肿瘤检测的方法
A M J Zubair Rahman,Muskan Gupta,S Aarathi et al.
A M J Zubair Rahman et al.
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 conventional machine learning ...
Judita Preiss
Judita Preiss
Background: 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...
Zain Hamid,Fatima Khalique,Saba Mahmood et al.
Zain Hamid et al.
Background: 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...
INNBC DApp, a decentralized application to permanently store biomedical data on a modern, proof-of-stake (POS), blockchain such as BNB Smart Chain [0.03%]
基于BNB智能链等现代权益证明 PoS) 区块链永久存储生物医学数据的去中心化应用(INNBC DApp)
Jonathan Fior
Jonathan Fior
Background: 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 ...
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning [0.03%]
基于机器学习的HIV患者冠心病预测模型及风险分析
Zengjing Liu,Zhihao Meng,Di Wei et al.
Zengjing Liu et al.
Objective: 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 record...
Wouter A C van Amsterdam,Pim A de Jong,Joost J C Verhoeff et al.
Wouter A C van Amsterdam et al.
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 without regard to the causal aspects ...