The designing of a transparent hybrid machine learning framework for water leak detection: a systematic review [0.03%]
Chinemerem M Anozie,Tite Tuyikeze,Ibidun C Obagbuwa et al.
Chinemerem M Anozie et al.
Introduction: Global water scarcity is increasingly exacerbated by substantial water losses, with approximately 30% of treated water lost annually due to leaks in aging Water Distribution Networks (WDNs). Addressing this ...
Beyond performance metrics: evaluating the unique value of generative AI in hybrid cybersecurity threat detection [0.03%]
Juan Antonio González-Ramos,Pablo Chamoso
Juan Antonio González-Ramos
Introduction: This study examines the role of generative artificial intelligence (GenAI) in cybersecurity threat detection, focusing on its usefulness in workflows that support human decision-making. ...
Generation of Kazakhstan's unified national testing variants using AI: a platform for automatic task creation with expert control [0.03%]
基于人工智能的哈萨克斯坦统一国家考试自动命题平台及专家控制系统开发
Bolatbek Abdrasilov,Talgat Niyazov,Lyazzat Shinetova et al.
Bolatbek Abdrasilov et al.
This study examines the use of artificial intelligence for Automatic Item Generation (AIG) in the context of Kazakhstan's Unified National Testing (UNT) and presents a human-in-the-loop platform for scalable, expert-controlled test developm...
Evaluating the impact of OMOP-CDM on data quality insight generation in respiratory disease management [0.03%]
评估OMOP-CDM在呼吸系统疾病管理中对数据质量洞察生成的影响
Brenda Mbouamba Yankam,Fankoua Tchaptchet Luc Baudoin,Pauline Andeso et al.
Brenda Mbouamba Yankam et al.
The increasing volume and heterogeneity of patient care data present significant challenges for comprehensive analysis and the generation of insights, particularly in specific areas such as respiratory diseases. Standardizing diverse health...
A reinforcement learning-guided interpretable method for postoperative sepsis prediction with Hilbert-Schmidt Independence Criterion [0.03%]
基于希尔伯特-施密特独立性准则的术后败血症预测的可解释方法的强化学习指导方法
Kunhua Zhong,Han Chen,Qilong Sun et al.
Kunhua Zhong et al.
Background: Sepsis is a major cause of postoperative morbidity and mortality, and early risk stratification from perioperative electronic health records (EHR) is a representative large-scale, high-dimensional data process...
A disease potential-driven graph attention model for comorbidity risk prediction of hypertension [0.03%]
一种基于疾病驱动的图注意力模型用于高血压合并症风险预测
Leming Zhou,Hanshu Qin,Yanmei Yang et al.
Leming Zhou et al.
Hypertension is associated with an increased risk of serious complications, and the hazards are very serious. However, current methods for predicting comorbidity risks face the challenge that comorbidity prediction relying solely on data dr...
Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies [0.03%]
基于词典和机器学习的中小企业社交媒体混合情感分析研究
Heru Susanto,Aida Sari Omar,Alifya Kayla Shafa Susanto et al.
Heru Susanto et al.
Small and Medium-sized Enterprises (SMEs) increasingly rely on social media to engage customers, promote products, and enhance workplace collaboration. Customer opinions expressed through comments and posts on platforms such as Facebook and...
Tree-based machine learning methods for predicting vehicle insurance claim size [0.03%]
基于树的机器学习方法预测车辆保险索赔金额
Edossa Merga Terefe,Merga Abdissa Aga
Edossa Merga Terefe
Vehicle insurance claim severity modeling requires accurate and interpretable methods that can handle skewed and heterogeneous loss data. This study provides a structured empirical comparison between classical parametric regression models a...
Lara Kassab,Erin George,Deanna Needell et al.
Lara Kassab et al.
There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed alongside bias mitigation strategies that...
FunduScope: a human-centered, machine learning-based interactive tool for training junior ophthalmologists in diabetic retinopathy detection [0.03%]
基于机器学习的以用户为中心的眼底图像辅助阅片工具促进糖尿病视网膜病变筛查与发展中国家眼科医生培养
Sara-Jane Bittner,Michael Barz,Daniel Sonntag
Sara-Jane Bittner
Interpreting fundus images is an essential skill for detecting eye diseases, such as diabetic retinopathy (DR), one of the leading causes of visual impairment. However, the training of junior doctors relies on experienced ophthalmologists, ...