CHI-SQUARE

作品数：49被引量：44H指数：3
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相关领域：自动化与计算机技术医药卫生更多>>
相关作者：禹建奇武忠吴林林邹建军李娜更多>>
相关机构：桂林理工大学东南大学湖南大学北京大学更多>>
相关期刊：《Journal of Northeast Agricultural University(English Edition)》《电子设计工程》《Journal of Applied Mathematics and Physics》《Computer Systems Science & Engineering》更多>>
相关基金：国家自然科学基金博士科研启动基金北京市自然科学基金湖南省科技攻关计划更多>>
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Insufficient Statistical Power of the Chi-Square Model Fit Test for the Exclusion Assumption of the Instrumental Variable Method
《Fudan Journal of the Humanities and Social Sciences》2025年第1期115-136,共22页Zijun Ke 
supported by Guangdong Basic and Applied Basic Research Foundation(Grant No.2022A1515011986);National Natural Science Foundation of China(Grant No.31700986).
Regression estimates are biased when potential confounders are omitted or when there are other similar risks to validity.The instrumental variable(IV)method can be used instead to obtain less biased estimates or to st...
关键词：Instrumental variable method Exclusion assumption Chi-square test of model fit Statistical power Diagnostic test 
Machine Learning Stroke Prediction in Smart Healthcare:Integrating Fuzzy K-Nearest Neighbor and Artificial Neural Networks with Feature Selection Techniques
《Computers, Materials & Continua》2025年第3期5115-5134,共20页Abdul Ahad Ira Puspitasari Jiangbin Zheng Shamsher Ullah Farhan Ullah Sheikh Tahir Bakhsh Ivan Miguel Pires 
funded by FCT/MECI through national funds and,when applicable,co-funded EU funds under UID/50008:Instituto de Telecomunicacoes.
This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and...
关键词：Fuzzy K-nearest neighbor artificial neural network accuracy precision RECALL F-MEASURE CHI-SQUARE best search first heart stroke 
Fake News Detection on Social Media Using Ensemble Methods
《Computers, Materials & Continua》2024年第12期4525-4549,共25页Muhammad Ali Ilyas Abdul Rehman Assad Abbas Dongsun Kim Muhammad Tahir Naseem Nasro Min Allah 
supported by the MSIT(Ministry of Science and ICT),Korea,under the ICT Creative Consilience Program(IITP-2024-2020-0-01819);supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
In an era dominated by information dissemination through various channels like newspapers,social media,radio,and television,the surge in content production,especially on social platforms,has amplified the challenge of...
关键词：Fake news detection Machine Learning(ML) Deep Learning(DL) CHI-SQUARE ensembling 
Chi-square automatic interaction detection(CHAID)analysis of the use of safety goggles and face masks as personal protective equipment(PPE)to protect against occupational biohazards
《Journal of Biosafety and Biosecurity》2024年第2期125-133,共9页Raúl Aguilar-Elena Juán JoséAgún-González 
Background:This study represents the first Spanish investigation to rigorously evaluate compliance with the use of safety goggles and face masks as essential personal protective equipment(PPE)in companies with workpla...
关键词：PPE Safety googles and breath mask CHAID Biological Agents Occupational Biosafety 
Efficient ECG classification based on Chi-square distance for arrhythmia detection
《Journal of Electronic Science and Technology》2024年第2期1-15,共15页Dhiah Al-Shammary Mustafa Noaman Kadhim Ahmed M.Mahdi Ayman Ibaida Khandakar Ahmedb 
This study introduces a new classifier tailored to address the limitations inherent in conventional classifiers such as K-nearest neighbor(KNN),random forest(RF),decision tree(DT),and support vector machine(SVM)for ar...
关键词：Arrhythmia classification Chi-square distance Electrocardiogram(ECG)signal Particle swarm optimization(PSO) 
Automatic Diagnosis of Polycystic Ovarian Syndrome Using Wrapper Methodology with Deep Learning Techniques
《Computer Systems Science & Engineering》2023年第10期239-253,共15页Mohamed Abouhawwash S.Sridevi Suma Christal Mary Sundararajan Rohit Pachlor Faten Khalid Karim Doaa Sami Khafaga 
The authors extend their appreciation to the Deputyship for Research&Innovation,Ministry of Education in Saudi Arabia for funding this research work through Project Number WE-44-0033.
One of the significant health issues affecting women that impacts their fertility and results in serious health concerns is Polycystic ovarian syndrome(PCOS).Consequently,timely screening of polycystic ovarian syndrom...
关键词：Deep learning automatic detection polycystic ovarian syndrome tri-stage wrapper method mutual information RELIEF CHI-SQUARE 
A Machine Learning-Based Distributed Denial of Service Detection Approach for Early Warning in Internet Exchange Points
《Computers, Materials & Continua》2023年第8期2235-2259,共25页Salem Alhayani Diane R.Murphy 
The Internet service provider(ISP)is the heart of any country’s Internet infrastructure and plays an important role in connecting to theWorld WideWeb.Internet exchange point(IXP)allows the interconnection of two or m...
关键词：Internet exchange point Saudi Arabia IXP(SAIXP) distributed denial of service CHI-SQUARE feature selection machine learning 
Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier被引量：1
《Intelligent Automation & Soft Computing》2023年第5期1931-1949,共19页Vaibhav Rupapara Furqan Rustam Abid Ishaq Ernesto Lee Imran Ashraf 
supported by the Florida Center for Advanced Analytics and Data Science funded by Ernesto.Net(under the Algorithms for Good Grant).
Diabetes mellitus is a metabolic disease that is ranked among the top 10 causes of death by the world health organization.During the last few years,an alarming increase is observed worldwide with a 70%rise in the dise...
关键词：Diabetes mellitus prediction feature fusion ensemble classifier principal component analysis CHI-SQUARE 
Robust ACO-Based Landmark Matching and Maxillofacial Anomalies Classification
《Intelligent Automation & Soft Computing》2023年第2期2219-2236,共18页Dalel Ben Ismail Hela Elmannai Souham Meshoul Mohamed Saber Naceur 
supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R196);Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
Imagery assessment is an efficient method for detecting craniofacial anomalies.A cephalometric landmark matching approach may help in orthodontic diagnosis,craniofacial growth assessment and treatment planning.Automati...
关键词：Maxillofacial anomalies cephalometric landmarks similarity chi-square distance quadratic assignment problem ant colony optimization SVM 
Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy被引量：2
《World Journal of Gastroenterology》2022年第46期6551-6563,共13页Surjeet Dalal Edeh Michael Onyema Amit Malik 
BACKGROUND Liver disease indicates any pathology that can harm or destroy the liver or prevent it from normal functioning.The global community has recently witnessed an increase in the mortality rate due to liver dise...
关键词：Liver infection Machine learning Chi-square automated interaction detection Classification and regression trees Decision tree XGBoost Hyperparameter tuning 
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