Search Results - "Machine learning models" :: K.UTB vyhledávací portál

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Explaining machine learning models using entropic variable projection

by Bachoc, François, Gamboa, Fabrice, Halford, Max, Loubes, Jean-Michel, Risser, Laurent
Published in Information and inference (27.04.2023)

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Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults

by Shi, Yewen, Zhang, Yitong, Cao, Zine, Ma, Lina, Yuan, Yuqi, Niu, Xiaoxin, Su, Yonglong, Xie, Yushan, Chen, Xi, Xing, Liang, Hei, Xinhong, Liu, Haiqin, Wu, Shinan, Li, Wenle, Ren, Xiaoyong
Published in BMC medical informatics and decision making (19.10.2023)

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Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification

by Kang, Su Jeong, Kim, Joung Ouk (Ryan), Kim, Moon Jong, Hur, Yang-Im, Haam, Ji-Hee, Han, Kunhee, Kim, Young-Sang
Published in Scientific reports (13.08.2024)

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Machine learning models for orthokeratology lens fitting and axial length prediction

by Xu, Shuai, Yang, Xiaoyan, Zhang, Shuxian, Zheng, Xuan, Zheng, Fang, Liu, Yin, Zhang, Hanyu, Ye, Qing, Li, Lihua
Published in Ophthalmic & physiological optics (01.11.2023)

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Categorising the world into local climate zones: towards quantifying labelling uncertainty for machine learning models

by Hechinger, Katharina, Zhu, Xiao Xiang, Kauermann, Göran
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (11.01.2024)

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Development and validation of medical record-based logistic regression and machine learning models to diagnose diabetic retinopathy

by Li, He-Yan, Dong, Li, Zhou, Wen-Da, Wu, Hao-Tian, Zhang, Rui-Heng, Li, Yi-Tong, Yu, Chu-Yao, Wei, Wen-Bin
Published in Graefe's archive for clinical and experimental ophthalmology (01.03.2023)

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Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources: a demonstration of ethical machine learning in healthcare

by Soley, Nidhi, Rattsev, Ilia, Speed, Traci J, Xie, Anping, Ferryman, Kadija S, Taylor, Casey Overby
Published in Journal of the American Medical Informatics Association : JAMIA (01.06.2025)

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Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System

by Mehrpour, Omid, Saeedi, Farhad, Nakhaee, Samaneh, Tavakkoli Khomeini, Farbod, Hadianfar, Ali, Amirabadizadeh, Alireza, Hoyte, Christopher
Published in BMC medical informatics and decision making (06.04.2023)

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Machine learning models for prediction the Higher Heating Value (HHV) of Municipal Solid Waste (MSW) for waste-to-energy evaluation

by Taki, Morteza, Rohani, Abbas
Published in Case studies in thermal engineering (01.03.2022)

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Determining the Importance of Lifestyle Risk Factors in Predicting Binge Eating Disorder After Bariatric Surgery Using Machine Learning Models and Lifestyle Scores

by Mousavi, Maryam, Tabesh, Mastaneh Rajabian, Moghadami, Seyyedeh Mahila, Saidpour, Atoosa, Jahromi, Soodeh Razeghi
Published in Obesity surgery (01.04.2025)

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The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes

by de Carvalho, Luiz Sérgio Fernandes, Alexim, Gustavo, Nogueira, Ana Claudia Cavalcante, Fernandez, Marta Duran, Rezende, Tito Barbosa, Avila, Sandra, Reis, Ricardo Torres Bispo, Soares, Alexandre Anderson Munhoz, Sposito, Andrei Carvalho
Published in Scientific reports (19.01.2023)

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Machine learning models for sequential motion recognition in human activity for logistics operations efficiency improvement

by Cheng, Chih-Feng, Lin, Chiuhsiang Joe, Hu, Qin-Xuan
Published in AI EDAM (27.01.2025)

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A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea

by Hajipour, Farahnaz, Jozani, Mohammad Jafari, Moussavi, Zahra
Published in Medical & biological engineering & computing (01.10.2020)

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Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction

by Hu, Zhengbiao, Bu, Shuangshan, Wang, Kai, Cao, Qianqian, Zheng, Huanhuan, Yang, Jie, Chen, Shanshan, Wu, Yuemeng, Ren, Wenkai, He, Chenlei
Published in BMC nephrology (23.06.2025)

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Monotone Functions and Expert Models for Explanation of Machine Learning Models

by Huber, Harlow, Kovalerchuk, Boris
Published in Proceedings / International Conference on Information Visualisation (22.07.2024)

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Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients

by Gupta, Mohit D., Goyal, Dixit, Kunal, Shekhar, Shetty, Manu Kumar, Girish, M.P., Batra, Vishal, Bansal, Ankit, Mishra, Prashant, Shukla, Mansavi, Kohli, Vanshika, Chadha, Akul, Fatima, Arisha, Muduli, Subrat, Gupta, Anubha, Yusuf, Jamal
Published in Indian heart journal (01.05.2025)

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The influence of vascular pathology on the generalizability of machine learning models for cognitive performance estimation

by van Haaften, Myrthe F, Yu, Jing, Seelaar, Harro, Vernooij, Meike W, Bron, Esther E
Published in Alzheimer's & dementia (01.12.2023)

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The application of structural and machine learning models to predict the default risk of listed companies in the Iranian capital market

by Peykani, Pejman, Sargolzaei, Mostafa, Sanadgol, Negin, Takaloo, Amir, Kamyabfar, Hamidreza
Published in PloS one (27.11.2023)

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Predicting Return to Work after Cardiac Rehabilitation using Machine Learning Models

by Yuan, Choo Jia, Varathan, Kasturi Dewi, Suhaimi, Anwar, Ling, Lee Wan
Published in Journal of rehabilitation medicine (09.01.2023)

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Comparison of Multiple Machine Learning Models for the Classification of Cell States Based on Impedance Features

by Tian, Dongze, Wei, Jian, Yang, Xinlong, Su, Fei, Xing, Xiaoxing
Published in Journal of physics. Conference series (01.08.2024)

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