| For: | Dalal S, Onyema EM, Malik A. Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy. World J Gastroenterol 2022; 28(46): 6551-6563 [PMID: 36569269 DOI: 10.3748/wjg.v28.i46.6551] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v28/i46/6551.htm |
| Number | Citing Articles |
| 1 |
Pinamala Sruthi, R. Suhasini, V. Narasimha, S. Rao Chintalapudi, D. T. V. Dharmajee Rao, P. Mounika. Cybernetics, Human Cognition, and Machine Learning in Communicative Applications. Cognitive Science and Technology 2025; doi: 10.1007/978-981-97-8533-9_18
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| 2 |
Devansh Gahlawat, Shilpa Suhag, Uma Rani, Sarika Madavi. Hybrid deep learning model for IT-OT integration in Industry 4.0. 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon) 2023; doi: 10.1109/SmartTechCon57526.2023.10391501
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| 3 |
Improved Machine leaning algorithms for sentiment analysis. 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2023; doi: 10.1109/CISES58720.2023.10197648
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| 4 |
Monali Ramteke, Shital Raut. Enhancing Disease Diagnosis: Leveraging Machine Learning Algorithms for Healthcare Data Analysis. IETE Journal of Research 2025; 71(2) doi: 10.1080/03772063.2024.2434572
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| 5 |
Greeting Gesture Analysis Using Boosting Algorithms and SHAP. 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS) 2024; doi: 10.1109/SCISISIS61014.2024.10759915
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| 6 |
Satyanarayana Poojari, B. Ismail. A novel approach for accurate disease prediction: Application to heart and liver diseases. Journal of Education and Health Promotion 2025; 14(1) doi: 10.4103/jehp.jehp_167_25
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| 7 |
T V N L Aswini, Kamesh Sonti, Purnima K Sharma, A V N Kumara Swamy, T J V Subrahmanyeswara Rao. A Hybrid Machine Learning Framework for Early Diagnosis of Chronic Liver Disease. 2026 International Conference on Signal Processing and Electronics Design (ICSPED) 2026; doi: 10.1109/ICSPED65817.2026.11448323
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| 8 |
Erapaneni Gayatri, S. L. Aarthy. Classification of skin cancer using deep batch-normalized elu alexnet with fractional sparrow ladybug optimization. Multimedia Tools and Applications 2023; 83(14) doi: 10.1007/s11042-023-16999-y
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| 9 |
Hossam S. El-Beltagi, Marwa Rageb, Mahmoud M. El-Saber, Ragab A. El-Masry, Khaled M.A. Ramadan, Mahmoud Kandeel, Ahlam Saleh Alhajri, Ali Osman. Green synthesis, characterization, and hepatoprotective effect of zinc oxide nanoparticles from Moringa oleifera leaves in CCl4-treated albino rats. Heliyon 2024; 10(9) doi: 10.1016/j.heliyon.2024.e30627
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| 10 |
Prasannavenkatesan Theerthagiri. Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm. Biomedical Signal Processing and Control 2025; 100 doi: 10.1016/j.bspc.2024.107102
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| 11 |
Rekha G, Madaka Hima Teja, Sneha Priyadarshani, K.Satish Babu, Brindha R, Pongiannan R K. Optimized Machine Learning Framework for Liver Disease Prediction Using Ensemble Learning and Feature Selection. 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS) 2025; doi: 10.1109/ICMLAS64557.2025.10968566
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| 12 |
Aman Kushwaha, Sukant Kishoro Bisoy, Swayam Prasad Sahoo, Sudhanshu Kumar, Girijesh Kumar Rajak. Predictive Performance of Novel Machine Learning Model For Liver Disease Detection Using Ensemble Technique. 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) 2024; doi: 10.1109/SCOPES64467.2024.10991041
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| 13 |
Yuk Ming Tang, Ka Yin Chau, Yui-yip Lau, Zehang Zheng. Data-Intensive Inventory Forecasting with Artificial Intelligence Models for Cross-Border E-Commerce Service Automation. Applied Sciences 2023; 13(5) doi: 10.3390/app13053051
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| 14 |
Femilda Josephin Joseph Shobana Bai, R. Anita Jasmine. Decision-Making Models. 2024; doi: 10.1016/B978-0-443-16147-6.00015-3
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| 15 |
T. Haritha, A. V. Santhosh Babu. Early-stage stroke prediction based on Parkinson and wrinkles using deep learning. Neural Computing and Applications 2024; 36(30) doi: 10.1007/s00521-024-10189-z
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| 16 |
Rasoul Farahi, Nahideh Derakhshanfard. A comprehensive review of the methods of diagnosing and predicting liver diseases using smart methods. Discover Artificial Intelligence 2025; 5(1) doi: 10.1007/s44163-025-00483-7
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| 17 |
Surjeet Dalal, Umesh Kumar Lilhore, Poongodi Manoharan, Uma Rani, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Ashish Sharma, Sarita Simaiya, Kaamran Raahemifar. An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering. Sensors 2023; 23(18) doi: 10.3390/s23187816
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| 18 |
Kunal Jha, Hasim Ali, Akshat Sharma, Neda Fatima. Bridging Healthcare Gaps: Sustainable Liver Disease Diagnosis Using Machine Learning in Resource-Limited Regions. 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN) 2025; doi: 10.1109/CICTN64563.2025.10932560
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| 19 |
Chenjun Wu, Toshihiro Omori, Takuji Ishikawa. Drag force on a microrobot propelled through blood. Communications Physics 2024; 7(1) doi: 10.1038/s42005-024-01724-4
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| 20 |
Reham S. Saeed, Mays D. AL-Bayati, Abdulhakeem Qusay Albayati, Musadaq A. Hadi. A Hybrid Artificial Intelligence Model for Cyberattack Application: Phishing Detection. 2025 18th International Conference on Development in eSystem Engineering (DeSE) 2025; doi: 10.1109/DeSE68208.2025.11367942
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| 21 |
Xiaofan Chang, Anlei Wei, Hao Hu, Kangrong Tang, Yangyang Guo, Shengbo Yue, Hanxiao Shi, Zixuan Wang. Machine learning for imbalanced WWTP energy consumption data in China: A spatially informed resampling framework with region-specific driver analysis. Journal of Cleaner Production 2026; 551 doi: 10.1016/j.jclepro.2026.147926
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| 22 |
Xiaoshuai Zhang, Chuanping Tang, Shuohuan Wang, Wei Liu, Wangxuan Yang, Di Wang, Qinghuan Wang, Fang Tang. A stacking ensemble model for predicting the occurrence of carotid atherosclerosis. Frontiers in Endocrinology 2024; 15 doi: 10.3389/fendo.2024.1390352
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| 23 |
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik. Predicting Chronic Liver Disease Using Boosting Technique. 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) 2023; doi: 10.1109/ICAIIHI57871.2023.10489026
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| 24 |
Trends in Mechatronics Systems. Emerging Trends in Mechatronics 2024; doi: 10.1007/978-981-97-9108-8_5
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| 25 |
Ayça Nur Şahin Demirel, Taner Erik. Determination of the effect of climate change on small cattle milk yield in Iğdır province via machine learning. Harran Tarım ve Gıda Bilimleri Dergisi 2024; 28(3) doi: 10.29050/harranziraat.1464601
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| 26 |
Nan Cheng, Zian Yi, Jiayue Wang, Zhenliang Hui, Jun Chen, An Gao. Initial seizure episodes risk factors identification during hospitalization of ICU patients: A retrospective analysis of the eICU collaborative research database. Journal of Clinical Neuroscience 2025; 136 doi: 10.1016/j.jocn.2025.111266
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| 27 |
Dontha Madhusudhana Rao, Setty Bhavithav, Tadiparthi Rahul, Yella Karthikeya. Liver Disease Diagnosis Using RFXG classifier. 2025 International Conference on Computing Technologies (ICOCT) 2025; doi: 10.1109/ICOCT64433.2025.11118406
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| 28 |
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik. A comparative analysis of boosting algorithms for chronic liver disease prediction. Healthcare Analytics 2024; 5 doi: 10.1016/j.health.2024.100313
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| 29 |
W. El Atifi, O. El Rhazouani, Fida Muhammad Khan, H. Sekkat, Anwar P.P. Abdul Majeed. Optimizing ensemble machine learning models for accurate liver disease prediction in healthcare. PLOS One 2025; 20(8) doi: 10.1371/journal.pone.0330899
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| 30 |
Citra Aulia Sakinah, Isman Kurniawan. In silico-based MMP-9 Inhibitors Prediction as Anti Cancer Therapeutics by using Particle Swarm Optimization-XGBoost Algorithm. 2025 8th International Conference of Computer and Informatics Engineering (IC2IE) 2025; doi: 10.1109/IC2IE67206.2025.11283141
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| 31 |
Surjeet Dalal, Bijeta Seth, Magdalena Radulescu. Digitalization, Sustainable Development, and Industry 5.0. 2023; doi: 10.1108/978-1-83753-190-520231014
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| 32 |
Yuting Tan, Guiling Chen, Shuge Wang, Xingxin Zhan, Rong Cheng, Linru Qiao, Zhixia Zhang, Yaping Liu. Machine Learning and Interpretability Study for Predicting 30-Day Unplanned Readmission Risk of Schizophrenia: A Retrospective Study. Neuropsychiatric Disease and Treatment 2025; doi: 10.2147/NDT.S522675
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| 33 |
Yagyanath Rimal, Siddhartha Paudel, Navneet Sharma, Abeer Alsadoon. Machine learning model matters its accuracy: a comparative study of ensemble learning and AutoML using heart disease prediction. Multimedia Tools and Applications 2023; 83(12) doi: 10.1007/s11042-023-16380-z
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| 34 |
Saju S, Abishek R, Dhurushanthini K, Luxshiba K, Nithin V. A Review of 3D Printed CMOS Electrochemical Biosensors for Smart Liver Disease Diagnosis. 2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA) 2025; doi: 10.1109/ICECA66444.2025.11383048
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| 35 |
Srinivas Islavath, C. Rohith Bhat. Uniform resource locator phishing detection using novel extreme gradient boosting algorithm in comparison with term frequency-inverse document frequency +N gram to improve accuracy. INTERNATIONAL CONFERENCE ON APPLICATION OF ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SOURCES AND ENVIRONMENTAL SUSTAINABILITY 2025; 3252 doi: 10.1063/5.0258817
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| 36 |
Huseyin Cagan Kilinc, Bulent Haznedar, Furkan Ozkan, Okan Mert Katipoğlu. An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting. Acta Geophysica 2024; 72(5) doi: 10.1007/s11600-024-01307-5
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| 37 |
Zihan Liu, Lejun Zhou, Wanlin Wang, Sibao Zeng, Liwu Zhang, Jianghua Qi, Kui Chen, Peng Liu. Data-Driven Control of Longitudinal Crack in Medium Carbon Steel Slabs: A Causal Learning Framework Integrating DAG and DML. Metallurgical and Materials Transactions B 2026; 57(7) doi: 10.1007/s11663-026-04088-y
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| 38 |
Dongqiang Hou, Hongxia Zhao, Kai Peng, Bing Chen, Junru Hu, Xifeng Zhu, Guoxia Wang, Junming Cao, Wen Huang. Sodium butyrate mitigates aflatoxin B1 toxicity in largemouth bass. Aquaculture Reports 2025; 43 doi: 10.1016/j.aqrep.2025.102966
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| 39 |
Laxmikant R. Patil, Gururaj N. Bhadri, Nidanaaz H. Jakati, Umesh B. Deshannavar, Amith H. Gadagi, Md Kareemullah, Kahkashan Perveen, Najla A. Alshaikh, Yohanis Dabesa Jelila, Osamah J. Al-sareji. Eco friendly deep eutectic solvent based extraction of Raphanus sativus leaf bioactives with mechanistic and antibacterial evaluation. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-30159-2
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| 40 |
Surjeet Dalal, Bijeta Seth, Magdalena Radulescu, Teodor Florin Cilan, Luminita Serbanescu. Optimized Deep Learning with Learning without Forgetting (LwF) for Weather Classification for Sustainable Transportation and Traffic Safety. Sustainability 2023; 15(7) doi: 10.3390/su15076070
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| 41 |
Touhid Imam, Jahirul Islam, Sharmin Sultana, Md Salah Uddin, Mohammad Shihab Uddin, Bushra Uddin. ML-Driven Solutions for Chronic Liver Disease: Predictive Models and Prevention Strategies. 2024 IEEE International Conference on Computing (ICOCO) 2024; doi: 10.1109/ICOCO62848.2024.10928240
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| 42 |
Efficient Machine leaning algorithms for sentiment analysis in Car rental sevice. 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2023; doi: 10.1109/CISES58720.2023.10183424
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| 43 |
Zheyu Du, Ling Yang, Hongliang He, Xiaofeng Wu, Xiaolong Qi, Yudong Zhang. Artificial intelligence for the noninvasive diagnosis of clinically significant portal hypertension. EngMedicine 2025; 2(2) doi: 10.1016/j.engmed.2025.100069
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| 44 |
Chengli Wen, Xu Zhang, Yong Li, Wanmeng Xiao, Qinxue Hu, Xianying Lei, Tao Xu, Sicheng Liang, Xiaolan Gao, Chao Zhang, Zehui Yu, Muhan Lü, Nattapol Aunsri. An interpretable machine learning model for predicting 28-day mortality in patients with sepsis-associated liver injury. PLOS ONE 2024; 19(5) doi: 10.1371/journal.pone.0303469
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| 45 |
Jiahuan Yang, Junxiang Huang, Lai Jiang. Reg2Boost: A Machine Learning Optimization Approach for Low-Dimensional Breast Cancer Classification. 2025 8th International Symposium on Big Data and Applied Statistics (ISBDAS) 2025; doi: 10.1109/ISBDAS64762.2025.11117160
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| 46 |
Shengnan Li, Xiaoxue Li, Hua Xiao, Jingjing Dou. The relationship between liver stiffness, fat content measured by liver elastography, and coronary artery disease: a study based on the NHANES database. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-15709-y
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| 47 |
D. Antony Pradeesh, Y. Syamala, P. Priya, Madhavi Sripathi, Srilakshmi Kaza, Rohith Bala Jaswanth B. Advanced Interoperable Framework for Real-Time Predictive Analysis Leveraging Machine Learning and IoT in Smart Health Monitoring Systems. 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET) 2023; doi: 10.1109/ICECET58911.2023.10389275
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| 48 |
A Hybrid Feature Selection and Hyperparameter-Tuned XGBoost Approach for Liver Disease Prediction. 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA) 2025; doi: 10.1109/ICSCSA66339.2025.11171205
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| 49 |
Rasoul Farahi, Nahideh Derakhshanfard, Ali Ghaffari. Intelligent Decision Support System for Liver Disease Diagnosis with MLP Network Optimized by Genetic Algorithm. International Journal of Computational Intelligence Systems 2025; 18(1) doi: 10.1007/s44196-025-01013-0
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| 50 |
Hasan Ahamed Alif, Md. Jisan Mashrafi, Sebagat Selim, Urmi Haldar, Ahsan Ullah, Rana Das. Explainable Machine Learning for Preoperative Prediction of Tumor Focality in Thyroid Cancer Using Lifestyle and Clinical Examination Data. 2025 International Conference on Computing and Communications (COMPUTINGCON) 2025; doi: 10.1109/COMPUTINGCON64838.2025.11378288
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| 51 |
Efficient Machine Leaning Algorithms for Sentiment Analysis In Car Rental Service. 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2023; doi: 10.1109/CISES58720.2023.10183435
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| 52 |
Qing-Chen Wang, Jian Jiao, Chun-Qing Zhang. Application of artificial intelligence in portal hypertension and esophagogastric varices. World Journal of Gastroenterology 2025; 31(24): 108508 doi: 10.3748/wjg.v31.i24.108508
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| 53 |
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao. Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches. BMC Medical Informatics and Decision Making 2024; 24(1) doi: 10.1186/s12911-024-02550-y
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