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 5开放获取健康信息学金融风险与机器学习
EM-WoSExpert Systems with Applications2025287: 128166-128166A survey on physics informed reinforcement learning: Review and open problemsChayan Banerjee, Kien Nguyen, Clinton Fookes, Maziar Raissi被引 81阅读 1高影响力 前 1%基金开放获取人工智能金融风险与机器学习
EM-T2Ecotoxicology and Environmental Safety2024285: 117111-117111Prediction and validation of mild cognitive impairment in occupational dust exposure population based on machine learningFulin Cai, Sheng Xue, Guangyao Si, Yafeng Liu 等 7 人被引 8阅读 1开放获取精神病学与心理健康金融风险与机器学习
EM-T3Comprehensive Reviews in Food Science and Food Safety202625(4): e70523-e70523Machine Learning‐Enabled Intelligent Technologies Across the Grape and Wine Value Chain: From Vineyard Sensing to Winemaking OptimizationXian Li, Mengmeng Bai, Junhe Wang, Qiliang Pan 等 13 人被引 2阅读 3高影响力 前 10%基金植物科学金融风险与机器学习
EM-T2BMJ Quality & Safety202333(2): 121-131Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiativesAmol A. Verma, Patricia Trbovich, Muhammad Mamdani, Kaveh G Shojania被引 15阅读 5基金健康信息学金融风险与机器学习
EM-WoSExpert Systems with Applications2025296: 128926-128926Machine learning and hybrid intelligence for wind energy optimization: A comprehensive state-of-the-art reviewAshutosh Kumar Dubey, Abhishek Kumar, Isaac Segovia Ramírez, Fausto Pedro Garcı́a Márquez被引 28阅读 6高影响力 前 10%基金开放获取电气与电子工程金融风险与机器学习
EM-T3Journal of Business & Industrial Marketing202540(8): 1572-1592Breaking the bottlenecks: a fuzzy SWARA approach to AI-ML implementation barriers in B2B industrial operations and supply chain managementArchana Sharma, Chandra Prakash Garg, Vishal Kashav被引 2阅读 4管理科学与运筹学金融风险与机器学习
A+Management ScienceUTD24FT502026Transfer Learning, Cross Learning and Co-Learning with Operational Data Analytics (ODA)Qi Feng, L K Li, Jeyaveerasingam George Shanthikumar被引 1阅读 6高影响力 前 10%管理信息系统
EM-T3World Journal of Emergency Surgery202621(1)Machine learning models for early mortality prediction in trauma patients using public data: a nationwide retrospective studySeung Min Baik, Jae Gil Lee, Hongjin Shim, Sujung Kim 等 8 人被引 0阅读 4基金开放获取急诊医学金融风险与机器学习
EM-T1Safety Science2019122: 104492-104492Applications of machine learning methods for engineering risk assessment – A reviewJeevith Hegde, Børge Rokseth被引 363阅读 5高影响力 前 1%基金开放获取安全、风险、可靠性与质量金融风险与机器学习
EM-T2Journal of Risk and Insurance202390(3): 743-768Detecting insurance fraud using supervised and unsupervised machine learningJörn Debener, Volker G. Heinke, Johannes Kriebel被引 66阅读 2高影响力 前 10%开放获取人工智能金融风险与机器学习
EM-T3Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine2026Prediction of acute kidney injury in traumatic shock patients using machine learning methodsDongfang Wang, Shuaipeng Gu, Yahui Li, Shengying Wang被引 0阅读 9开放获取肾病学金融风险与机器学习
EM-T3Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine202432(1): 5-5Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency departmentPaul M. E. L. van Dam, William P. T. M. van Doorn, Floor van Gils, Lotte Sevenich 等 8 人被引 13阅读 3开放获取人工智能金融风险与机器学习
EM-T1Journal of Safety Research202282: 450-458Safer tomorrow: Irish dairy farmers’ self-perception of their farm safety practicesTracey O’Connor, Jim Kinsella, Denis P. O’Hora, John G. McNamara 等 5 人被引 11阅读 4基金开放获取植物科学
EM-T2BMC Public Health202525(1): 915-915“Sometimes I’m interested in seeing a fuller story to tell with numbers” Implementing a forecasting dashboard for harm reduction and overdose prevention: a qualitative assessmentJesse Yedinak Gray, Maxwell S. Krieger, Alexandra Skinner, Samantha J. Parker 等 13 人被引 4阅读 2高影响力 前 10%基金开放获取公共卫生、环境与职业健康金融风险与机器学习
EM-WoSGovernance202639(2)AI Innovations in Public Services: The Case of National Libraries. By InesMergel and CarstenSchmidt (eds.), Cham: Springer, 2026. 222 pp. Open Access (ebook)Salman Bin Habib被引 0阅读 5政治学与国际关系路网损毁与基础设施韧性
EM-T2Risk Management: An International Journal202326(1)Machine learning techniques for default prediction: an application to small Italian companiesFlavio Bazzana, Marco Bee, Ahmed Almustfa Hussin Adam Khatir被引 19阅读 3高影响力 前 10%基金开放获取会计金融风险与机器学习
A+Organization ScienceUTD24FT50202133(1): 59-82In the Land of the Blind, the One-Eyed Man Is King: Knowledge Brokerage in the Age of Learning AlgorithmsLauren Waardenburg, Marleen Huysman, Anastasia Sergeeva被引 165阅读 5高影响力 前 1%开放获取社会学与政治学金融风险与机器学习
EM-T1Safety Science2026201: 107243-107243综述Applications of artificial intelligence in the detection and prevention of assaults against healthcare Staff: A systematic reviewAntonio J Moreno-Moreno, Juan Jesús García‐Iglesias, Antonio Luis Castaño-Seiquer, David Ribas-Perez 等 8 人被引 1阅读 8高影响力 前 10%开放获取社会学与政治学金融风险与机器学习
EM-WoSPolicy Studies Journal202351(3): 469-473社论Editorial introduction: Exploring theories and subtleties of the policy processGeoboo Song, Melissa K. Merry, Nataliia Borozdina, Ben Galloway 等 8 人被引 0阅读 6基金开放获取公共管理应急治理与韧性政策金融风险与机器学习
