EM-T3Academic Emergency Medicine201825(11): 1284-1286Hot Off the Press: A Novel Algorithm to Decrease Unnecessary Hospitalizations in Patients with Atrial FibrillationJustin Morgenstern, Corey R. Heitz, Chris Bond, William Ken Milne被引 0阅读 2心血管医学
EM-T3European Journal of Trauma and Emergency Surgery202349(3): 1545-1553Intercontinental validation of a clinical prediction model for predicting 90-day and 2-year mortality in an Israeli cohort of 2033 patients with a femoral neck fracture aged 65 or aboveJacobien H. F. Oosterhoff, Aditya V. Karhade, Olivier Quinten Groot, Joseph Hasbrouck Schwab 等 7 人被引 5阅读 3开放获取外科学
EM-WoSExpert Systems with Applications2025275: 127055-127055Improved generalizability of CNN based lane detection in challenging weather using adaptive preprocessing parameter tuningI-Chen Sang, William Robert Norris被引 6阅读 3基金开放获取汽车工程
EM-T2BMC Public Health202525(1): 2608-2608Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndromeYaxuan He, Zekai Chen, Zhaohui Tang, Yuexiang Qin 等 5 人被引 5阅读 4高影响力 前 10%基金开放获取健康信息管理金融风险与机器学习
A+MIS QuarterlyUTD24FT50202347(1): 127-160Unifying Algorithmic and Theoretical Perspectives: Emotions in Online Reviews and SalesYifan Yu, Yang Yang, Jinghua Huang, Yong Tan被引 58阅读 6高影响力 前 10%人工智能
EM-T3Annals of Emergency Medicine202077(4): 395-406Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning AlgorithmGabriel Wardi, Morgan Carlile, Andre L. Holder, Supreeth Prajwal Shashikumar 等 6 人被引 96阅读 4高影响力 前 10%基金开放获取流行病学
EM-T3Annals of Emergency Medicine202076(4): S116-S116301 Use of Transfer Learning to Improve External Validity of a Machine-Learning Algorithm to Predict Septic Shock in the Emergency DepartmentGabriel Wardi, Supreeth Prajwal Shashikumar, Morgan Carlile, M. Krak 等 7 人被引 2阅读 3流行病学
EM-T3Academic Emergency Medicine202028(2): 263-267Machine Learning in Emergency Medicine: Keys to Future SuccessRichard Andrew Taylor, Adrian D. Haimovich被引 19阅读 4开放获取健康信息学金融风险与机器学习
EM-T3Pharmacoepidemiology and Drug Safety202534(7): e70175-e70175Advancing Health Equity in Europe: Explore, Tailor, Implement, and Evaluate ( ETIE )—A Framework of Diversity and Fairness in Pharmacoepidemiologic ResearchEnriqueta Vallejo‐Yagüe, Sieta T. de Vries, Daniel La Parra‐Casado, Helga Gardarsdóttir 等 27 人被引 1阅读 4基金开放获取公共卫生、环境与职业健康公平—效率权衡
EM-T3Comprehensive Reviews in Food Science and Food Safety202525(1): e70360-e70360Revolutionizing Fresh Food Quality Control in Supply Chains With Machine Learning: Current Advances and Future ChallengesJiayi Xu, Zisheng Luo, Xuenan Zhang, Zhenbiao Li 等 9 人被引 13阅读 2高影响力 前 10%植物科学金融风险与机器学习
EM-WoSExpert Systems with Applications2025299: 130336-130336Sensor-based data-driven differentiation between Parkinson’s tremor and essential tremorTanmoy Sil, Veronika Selzam, Robert L. Peach, Gertrúd Tamás 等 9 人被引 0阅读 4基金开放获取健康信息管理金融风险与机器学习
EM-T3Pharmacoepidemiology and Drug Safety201525(1): 2-10Guidelines for good pharmacoepidemiology practice (GPP)Public Policy Committee, International Society of Pharmacoepidemiology被引 287阅读 11高影响力 前 10%开放获取毒理学
EM-T3Drug Safety202246(1): 87-97Development and Evaluation of the Algorithm CErtaInty Tool (ACE-IT) to Assess Electronic Medical Record and Claims-based Algorithms’ Fit for Purpose for Safety OutcomesSonal Singh, Julie Kay Beyrer, Xiaofeng Zhou, Joel N. Swerdel 等 11 人被引 8阅读 6高影响力 前 10%基金开放获取毒理学
EM-T3Academic Emergency Medicine202028(3): 367-369Hot Off the Press: Tell Me How To Diagnose a Pulmonary EmbolismChristopher Bond, Justin Morgenstern, Corey R. Heitz, William Ken Milne被引 0阅读 4内科学
EM-T1Geomatics, Natural Hazards and Risk202516(1)Beyond boundaries: AI-optimized global landslide susceptibility mappingMahdi Panahi, Fatemeh Rezaie, Khabat Khosravi, Zahra Kalantari 等 6 人被引 7阅读 6高影响力 前 10%基金开放获取环境管理、监测、政策与法规复合灾害与灾害链不确定性优化（随机/鲁棒/DRO/CVaR）
EM-T2Process Safety and Environmental Protection2026208: 108469-108469Spatiotemporal estimation of construction and demolition waste generation using novel integrated machine learning and remote sensing approaches: A study of 83 Chinese citiesZhikang Bao, Ying Chen, Yifu Ou, Liang Yuan 等 8 人被引 7阅读 5高影响力 前 1%基金开放获取建筑与施工金融风险与机器学习
EM-T2Ecotoxicology and Environmental Safety2024290: 117548-117548Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learningXiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan 等 9 人被引 4阅读 6基金开放获取生态学金融风险与机器学习
EM-T2BMC Public Health202424(1): 2322-2322Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysisGergely Fehér, Krisztián Kapus, Antal Tibold, Zoltán Bankó 等 9 人被引 17阅读 3高影响力 前 1%基金开放获取作业治疗金融风险与机器学习
EM-T2Traffic Injury Prevention20261-10Two‑tier prediction framework with OR‑voting for real‑time freeway secondary-crash prediction: Balancing sensitivity and specificityXianyu Wu, Jingxue Guo, Hui Li, Yang Yang被引 0阅读 5基金安全、风险、可靠性与质量疏散行为与风险认知金融风险与机器学习
EM-T2Ecotoxicology and Environmental Safety2025309: 119519-119519Integrated multi-Omics and network toxicology elucidate the multi-target mechanisms of environmental hormones in driving hepatocellular carcinomaRong Huang, Jinyue Ma, Jiaxin Yao, Jiyu Pang 等 11 人被引 6阅读 3基金开放获取健康、毒理与致突变
