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-T2Ecotoxicology and Environmental Safety2024290: 117570-117570Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learningMeiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du 等 9 人被引 25阅读 3高影响力 前 10%开放获取健康、毒理与致突变金融风险与机器学习
A+INFORMS Journal on ComputingUTD24202436(3): 723-741Iterative Rule Extension for Logic Analysis of Data: An MILP-Based Heuristic to Derive Interpretable Binary Classifiers from Large Data SetsMarleen Balvert被引 5阅读 3基金人工智能
EM-WoSInformation Sciences2022611: 540-563Interpretable fuzzy clustering using unsupervised fuzzy decision treesLianmeng Jiao, Haoyu Yang, Zhunga Liu, Quan Pan被引 54阅读 2高影响力 前 10%基金开放获取人工智能
EM-WoSInformation Sciences2021569: 596-614Multivariate times series classification through an interpretable representationFrancisco J. Baldán, José M. Benítez被引 40阅读 3高影响力 前 10%基金开放获取信号处理金融风险与机器学习
A+Operations ResearchUTD24FT50202068(5): 1517-1537Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsHussein Hazimeh, Rahul Mazumder被引 150阅读 4高影响力 前 1%基金开放获取统计与概率金融风险与机器学习
EM-T2BMC Public Health2026Development and validation of an interpretable machine learning model for risk stratification among individuals with latent tuberculosis infection: a multicenter case-control studyWeidong Wang, Dingyong Sun, Yanqiu Zhang, Xiaowan Xu 等 12 人被引 0阅读 7开放获取传染病学金融风险与机器学习
EM-T2BMC Public Health202525(1): 1145-1145Interpretable machine learning method to predict the risk of pre-diabetes using a national-wide cross-sectional data: evidence from CHNSXiaolong Li, Fan Ding, Lu Zhang, Shi Zhao 等 10 人被引 22阅读 8高影响力 前 1%基金开放获取健康信息管理金融风险与机器学习
EM-T3Internal and Emergency Medicine202420(3): 909-918Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation studyYiping Wang, Zhihong Gao, Yang Zhang, Zhongqiu Lu 等 5 人被引 27阅读 3高影响力 前 10%基金开放获取流行病学金融风险与机器学习
EM-T2Traffic Injury Prevention20261-11Consensus machine learning for interpretable road-user fatality risk analysis: Evidence from the Canadian National Collision DatabaseShengkun Xie, Nguyen Duy Anh Luong被引 0阅读 13基金安全、风险、可靠性与质量金融风险与机器学习
EM-WoSInformation Sciences2025723: 122641-122641Interpretable, multidimensional evaluation framework for causal discovery from observational i.i.d. dataGeorg VELEV, Stefan Lessmann被引 3阅读 5开放获取人工智能
A+INFORMS Journal on ComputingUTD24202335(5): 952-965Interpretable Matrix Completion: A Discrete Optimization ApproachDimitris Bertsimas, Michael Lingzhi Li被引 6阅读 9开放获取计算力学
EM-T2BMC Public Health202525(1): 2994-2994Decoding the adolescent non-suicidal self-injury: understanding with interpretable machine learning insightsHaojie Fu, Mengmeng Zhang, Shuran Yang, Chuanyuan Kang 等 6 人被引 7阅读 2高影响力 前 10%基金开放获取临床心理学金融风险与机器学习
EM-T1International Journal of Disaster Risk Reduction2025117: 105204-105204A novel framework for multi-hazard loss assessment of tropical cyclones: A county-level interpretable machine learning modelJinli Zheng, Weihua Fang, Jinyan Shao被引 7阅读 4高影响力 前 10%基金开放获取大气科学应急物资配置与人道物流复合灾害与灾害链洪涝风险与减灾金融风险与机器学习
EM-WoSOmega2026144: 103616-103616A consistency-based geometric and interpretable linear-time algorithm for best-worst method via orthogonal regressionSamant Saurabh被引 0阅读 4管理科学与运筹学
EM-WoSExpert Systems with Applications2024254: 124373-124373A geometric algebra-based approach for myoelectric pattern recognition control and faster prosthesis recalibrationAlexandre Calado, Paolo Roselli, Emanuele Gruppioni, Andrea Marinelli 等 7 人被引 8阅读 4开放获取生物医学工程
EM-T2BMC Public Health2026Development and external validation of an interpretable machine learning model for high-frequency hearing loss screeningShuwen Guan, Fangxu Yan, Xin Xia, Chunhao Li 等 9 人被引 0阅读 7开放获取认知神经科学金融风险与机器学习
A+INFORMS Journal on ComputingUTD24202234(4): 2039-2057A Machine Learning–Enabled Partially Observable Markov Decision Process Framework for Early Sepsis PredictionZeyu Liu, Anahita Khojandi, Xueping Li, Akram Mohammed 等 6 人被引 23阅读 7高影响力 前 10%流行病学金融风险与机器学习
EM-T2BMC Public Health202626(1)Development of an interpretable machine learning model-based online tool for risk prediction of falls and fall-related injuries in Chinese middle-aged and older adults with depressive symptoms-a longitudinal study based on the CHARLS databaseMei Yuan, Siran Bi, Ziyi Chen, Xiaoli Fan 等 6 人被引 0阅读 4开放获取物理治疗与运动康复金融风险与机器学习
EM-T2Ecotoxicology and Environmental Safety2025292: 117945-117945Unveiling the effect of urinary xenoestrogens on chronic kidney disease in adults: A machine learning modelBowen Zhang, Liang Chen, Tao Li被引 9阅读 2高影响力 前 10%基金开放获取健康、毒理与致突变金融风险与机器学习
