Predicting deep vein thrombosis using machine learning and blood routine analysis [0.03%]
基于机器学习和血常规检验的深静脉血栓预测模型研究
Jie Su,Yuechao Tang,Yanan Wang et al.
Jie Su et al.
Objective: Lower limb deep vein thrombosis (DVT) is a serious health problem, causing local discomfort and hindering walking. It can lead to severe complications, including pulmonary embolism, chronic post-thrombotic synd...
Editorial: Navigating the nexus of big data, AI, and public health: transformations, triumphs, and trials in multiple sclerosis care access [0.03%]
编者按：大数据、人工智能与公共卫生的交汇处：多发性硬化症护理获取的变革、成功与挑战
Immanuel Azaad Moonesar,M V Manoj Kumar,Khulood Alsayegh et al.
Immanuel Azaad Moonesar et al.
Rakesh M Verma,Nachum Dershowitz,Victor Zeng et al.
Rakesh M Verma et al.
Introduction: Internet-based economies and societies are drowning in deceptive attacks. These attacks take many forms, such as fake news, phishing, and job scams, which we call "domains of deception." Machine learning and...
Structure and dynamics mapping of illicit firearms trafficking using artificial intelligence models [0.03%]
利用人工智能模型绘制非法枪支贩运的结构与动态图
Willy A Valdivia-Granda
Willy A Valdivia-Granda
Illicit firearms trafficking imposes severe social and economic costs, eroding public safety, distorting markets, and weakening state capacity while affecting vulnerable populations. Despite its profound consequences for global health, trad...
Enhancing intelligence source performance management through two-stage stochastic programming and machine learning techniques [0.03%]
基于两阶段随机规划和机器学习技术的智能源性能管理优化方法研究
Lucas Wafula Wekesa,Stephen Korir
Lucas Wafula Wekesa
Introduction: The effectiveness of intelligence operations depends heavily on the reliability and performance of human intelligence (HUMINT) sources. Yet, source behavior is often unpredictable, deceptive or shaped by ope...
ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution [0.03%]
用于巴基斯坦宪法双语信息检索的领域自适应BERT模型
Qaiser Abbas,Waqas Nawaz,Sadia Niazi et al.
Qaiser Abbas et al.
Introduction: Navigating legal texts like a national constitution is notoriously difficult due to specialized jargon and complex internal references. For the Constitution of Pakistan, no automated, user-friendly search to...
Multistakeholder fairness in tourism: what can algorithms learn from tourism management? [0.03%]
多利益相关者视角下的旅游公平性：算法能向旅游管理学习什么？
Peter Müllner,Anna Schreuer,Simone Kopeinik et al.
Peter Müllner et al.
Algorithmic decision-support systems, i.e., recommender systems, are popular digital tools that help tourists decide which places and attractions to explore. However, algorithms often unintentionally direct tourist streams in a way that neg...
Harmehr Sekhon,Farid Al Zoubi,Paul E Beaulé et al.
Harmehr Sekhon et al.
Background: The use of machine learning (ML) in surgery till date has largely focused on predication of surgical variables, which has not been found to significantly improve operating room efficiencies and surgical succes...
Thijs Veugen,Gabriele Spini,Frank Muller
Thijs Veugen
Secure aggregation of distributed inputs is a well-studied problem. In this study, anonymity of inputs is achieved by assuring a minimal quota before publishing the outcome. We design and implement an efficient cryptographic protocol that m...
Elena Senger,Yuri Campbell,Rob van der Goot et al.
Elena Senger et al.
Predicting career trajectories is a complex yet impactful task, offering significant benefits for personalized career counseling, recruitment optimization, and workforce planning. However, effective career path prediction (CPP) modeling fac...