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Machine learning-based models for prediction of in-hospital mortality in patients with dengue shock syndrome
《World Journal of Methodology》2025年第3期89-99,共11页Luan Thanh Vo Thien Vu Thach Ngoc Pham Tung Huu Trinh Thanh Tat Nguyen 
BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms ...
关键词：Dengue shock syndrome Dengue mortality Machine learning Supervised models Logistic regression Random forest K-nearest neighbors Support vector machine Extreme Gradient Boost Shapley addictive explanations 
Machine learning driven high-throughput screening of S and Ncoordinated SACs for eNRR
《Nano Research》2025年第4期633-644,共12页Lintao Xu Yuhong Huang Haiping Lin Xiumei Wei Fei Ma 
supported by National Natural Science Foundation of China(Nos.52271136 and 22373063);the Natural Science Foundation of Shaanxi Province in China(Nos.2021JC-06 and 2019TD-020);Fundamental Research Funds for the Central Universities of China(No.GK202203002).
This study constructs 196 transition metals(TM)@S_(x)N_(y) single-atom catalysts(SACs)(x=0-4 and y=0-4)and employs the eXtreme Gradient Boosting(XGBoost)classification model in machine learning(ML)for effectively dist...
关键词：nitrogen reduction reaction(NRR)process machine learning catalytic descriptors SHapley Additive exPlanations(SHAP)analysis 
Theories and Determinants of IPO Underpricing:A Comprehensive Review
《Proceedings of Business and Economic Studies》2025年第2期267-273,共7页Zeshan Huang 
IPO underpricing,the tendency for newly issued shares to trade above their offer price on the first day,is a persistent global phenomenon.Empirical evidence suggests that U.S.IPOs averaged an 18.8%first-day return fro...
关键词：IPO underpricing Theoretical explanations Empirical determinants 
Blood pressure abnormality detection and interpretation utilizing explainable artificial intelligence
《Intelligent Medicine》2025年第1期54-65,共12页Hedayetul Islam Md.Sadiq Iqbal Muhammad Minoar Hossain 
Objective Hypertension is a critical medical condition that increases the risks of many fatal diseases.Early detection of hypertension can be crucial to lead a healthy life.Machine learning(ML)can be useful for the ea...
关键词：Machine learning Explainable artificial intelligence Principal component analysis Recursive feature elimination Shapley additive explanations 
Investigating Black-Box Model for Wind Power Forecasting Using Local Interpretable Model-Agnostic Explanations Algorithm
《CSEE Journal of Power and Energy Systems》2025年第1期227-242,共16页Mao Yang Chuanyu Xu Yuying Bai Miaomiao Ma Xin Su 
supported by the National Key R&D Program of China(Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption)under Grant(2018YFB0904200).
Wind power forecasting(WPF)is important for safe,stable,and reliable integration of new energy technologies into power systems.Machine learning(ML)algorithms have recently attracted increasing attention in the field o...
关键词：Black-box model correlation analysis feature trust index local interpretability local interpretable modelagnostic explanations(LIME) wind power forecasting 
MMGCF: Generating Counterfactual Explanations for Molecular Property Prediction via Motif Rebuild
《Journal of Computer and Communications》2025年第1期152-168,共17页Xiuping Zhang Qun Liu Rui Han 
Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to capture the complex structural ...
关键词：INTERPRETABILITY Causal Relationship Counterfactual Explanation Molecular Graph Generation 
Uncertainties in landslide susceptibility prediction modeling:A review on the incompleteness of landslide inventory and its influence rules被引量：1
《Geoscience Frontiers》2024年第6期80-104,共25页Faming Huang Daxiong Mao Shui-Hua Jiang Chuangbing Zhou Xuanmei Fan Ziqiang Zeng Filippo Catani Changshi Yu Zhilu Chang Jinsong Huang Bingchen Jiang Yijing Li 
the National Natural Science Foundation of China(Nos.42377164,41972280 and 42272326);National Natural Science Outstanding Youth Foundation of China(No.52222905);Natural Science Foundation of Jiangxi Province,China(No.20232BAB204091);Natural Science Foundation of Jiangxi Province,China(No.20232BAB204077).
Landslide inventory is an indispensable output variable of landslide susceptibility prediction(LSP)modelling.However,the influence of landslide inventory incompleteness on LSP and the transfer rules of LSP resulting e...
关键词：Landslide susceptibility prediction Landslide inventory Machine learning interpretability SHapley additive explanations Partial dependence plot 
Study on the facial spectrum and color characteristics of patients with essential hypertension
《Digital Chinese Medicine》2024年第4期429-440,I0002-I0006,共17页FU Hongyuan CHUN Yi JIAO Wen SHI Yulin TU Liping LI Yongzhi XU Jiatuo 
National Natural Science Foundation of China(82104738 and 82004255);Key Discipline Construction Project of High-level Traditional Chinese Medicine of the National Administration of Traditional Chinese Medicine-Traditional Chinese Medical Diagnostics(ZYYZDXK-2023069).
Objective To investigate the facial spectrum and color characteristics of patients with essen-tial hypertension post administering antihypertensive drugs,establish a classification and evaluation model based on the fa...
关键词：Essential hypertension Complexion Visible spectrum Machine learning Shapley Additive exPlanations(SHAP) 
Reverse Analysis Method and Process for Improving Malware Detection Based on XAI Model
《Computers, Materials & Continua》2024年第12期4485-4502,共18页Ki-Pyoung Ma Dong-Ju Ryu Sang-Joon Lee 
supported by Innovative Human Resource Development for Local Intellectualization program through the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(IITP-2024-RS-2022-00156287,50%);supported by the MSIT(Ministry of Science and ICT),Republic of Korea,under the Convergence Security Core Talent Training Business Support Program(IITP-2024-RS-2022-II221203,50%);supervised by the IITP(Institute of Information&Communications Technology Planning&Evaluation).
With the advancements in artificial intelligence(AI)technology,attackers are increasingly using sophisticated techniques,including ChatGPT.Endpoint Detection&Response(EDR)is a system that detects and responds to stran...
关键词：Endpoint detection&response(EDR) explainable AI(XAI) SHapley Additive exPlanations(SHAP) reverse XAI machine learning(ML) 
Scalar dark energy models and scalar–tensor gravity:theoretical explanations for the accelerated expansion of the present Universe
《Communications in Theoretical Physics》2024年第10期158-187,共30页Peixiang Ji Lijing Shao 
supported by the National Natural Science Foundation of China(11991053);Beijing Natural Science Foundation(1242018);National SKA Program of China(2020SKA0120300);Max Planck Partner Group program funded by the Max Planck Society;High-Performance Computing Platform of Peking University。
The reason for the present accelerated expansion of the Universe stands as one of the most profound questions in the realm of science,with deep connections to both cosmology and fundamental physics.From a cosmological...
关键词：dark energy modified gravity QUINTESSENCE dynamic system COSMOLOGY 
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