Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets [0.03%]
凸包分析在评估不同来源患者群体数据异质性的应用以及医院偏见对下游基于机器学习的数据处理的影响：四个重症监护患者数据集的比较
Konstantin Sharafutdinov,Jayesh S Bhat,Sebastian Johannes Fritsch et al.
Konstantin Sharafutdinov et al.
Machine learning (ML) models are developed on a learning dataset covering only a small part of the data of interest. If model predictions are accurate for the learning dataset but fail for unseen data then generalization error is considered...
Olatunbosun Agbo-Ajala,Serestina Viriri,Mustapha Oloko-Oba et al.
Olatunbosun Agbo-Ajala et al.
Apparent age estimation via human face image has attracted increased attention due to its numerous real-world applications. Predicting the apparent age has been quite difficult for machines and humans. However, researchers have focused on m...
Mark Metcalf
Mark Metcalf
China's People's Liberation Army (PLA) is currently wrestling with the benefits and challenges of using artificial intelligence (AI) to enhance their capabilities. Like many other militaries, a key factor in their analysis is identifying an...
Richard Dean
Richard Dean
The potential for the use of artificial intelligence in developing lethal autonomous weapons systems (LAWS) has received a good deal of attention from ethicists. Lines of argument in favor of and against developing and deploying LAWS have a...
MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed [0.03%]
MedGraph：使用知识图谱嵌入PubMed的语义生物医学信息检索框架
Islam Akef Ebeid
Islam Akef Ebeid
Here we study the semantic search and retrieval problem in biomedical digital libraries. First, we introduce MedGraph, a knowledge graph embedding-based method that provides semantic relevance retrieval and ranking for the biomedical litera...
Real-world data mining meets clinical practice: Research challenges and perspective [0.03%]
现实世界数据挖掘与临床实践的结合：研究挑战与展望
Federica Mandreoli,Davide Ferrari,Veronica Guidetti et al.
Federica Mandreoli et al.
As Big Data Analysis meets healthcare applications, domain-specific challenges and opportunities materialize in all aspects of data science. Advanced statistical methods and Artificial Intelligence (AI) on Electronic Health Records (EHRs) a...
Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique [0.03%]
基于集合机器学习技术的心电图信号不平衡的心脏病分类
Adyasha Rath,Debahuti Mishra,Ganapati Panda
Adyasha Rath
The machine learning (ML)-based classification models are widely utilized for the automated detection of heart diseases (HDs) using various physiological signals such as electrocardiogram (ECG), magnetocardiography (MCG), heart sound (HS), ...
The determinants of investment fraud: A machine learning and artificial intelligence approach [0.03%]
投资欺诈的决定因素：机器学习和人工智能的方法
Mark Lokanan
Mark Lokanan
Investment fraud continues to be a severe problem in the Canadian securities industry. This paper aims to employ machine learning algorithms and artificial neural networks (ANN) to predict investment in Canada. Data for this study comes fro...
The role of gender in providing expert advice on cyber conflict and artificial intelligence for military personnel [0.03%]
性别在为军事人员提供网络冲突和人工智能专家建议方面的角色
Kelly Fisher
Kelly Fisher
This article draws upon original qualitative interview data with Norwegian male and female cyberengineer cadets at the Norwegian Cyber Defense Academy, who could in the future be working with AI-enabled systems in a variety of positions thr...
Using machine learning to improve neutron identification in water Cherenkov detectors [0.03%]
利用机器学习提高水中切连科夫探测器中中子识别率
Blair Jamieson,Matt Stubbs,Sheela Ramanna et al.
Blair Jamieson et al.
Water Cherenkov detectors like Super-Kamiokande, and the next generation Hyper-Kamiokande are adding gadolinium to their water to improve the detection of neutrons. By detecting neutrons in addition to the leptons in neutrino interactions, ...