يعرض 1 - 10 نتائج من 747 نتيجة بحث عن '"Random Survival Forest"', وقت الاستعلام: 0.85s تنقيح النتائج
  1. 1
    مؤتمر
    Prediction Chronic Kidney Disease Progression in Diabetic Patients Using Machine Learning Models

    المؤلفون: Apiromrak, W., Toh, C., Sangthawan, P., Ingviya, T.

    المصدر: 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE) Computer Science and Software Engineering (JCSSE), 2024 21st International Joint Conference on. :566-573 Jun, 2024

    Relation: 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)

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  2. 2
    مؤتمر
    Survival Rate Prediction in Glioblastoma Patients Using Machine Learning

    المؤلفون: Kabelma, Douae, Benamar, Nabil, Echcharef, Chaimae, Hajji, Nabil, El Hachimy, Ichraq

    المصدر: 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2023 International Conference on. :221-226 Nov, 2023

    Relation: 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

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  3. 3
    مؤتمر
    Survival Analysis of Breast Cancer Patients: A Population-Based Study from SEER

    المؤلفون: Rahman, Md. Saifur, Keats, Aseer Imad, Kabir, Mohammad Abrar, Newaz, Asif, Islam, Md. Mahfuzul

    المصدر: 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET) Electrical, Computer and Energy Technologies (ICECET), 2023 International Conference on. :1-6 Nov, 2023

    Relation: 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)

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  4. 4
    مؤتمر
    Predictive Modeling of Diabetes Onset and Survival Analysis Among Diabetic Patients

    المؤلفون: Ji, Mohammad Zarak Shah, Ebrahimi, Mahdi

    المصدر: 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) CSCE Computer Science, Computer Engineering, & Applied Computing (CSCE), 2023 Congress in. :635-641 Jul, 2023

    Relation: 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)

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  5. 5
    دورية أكاديمية
    Application of random survival forest to establish a nomogram combining clinlabomics-score and clinical data for predicting brain metastasis in primary lung cancer

    المؤلفون: Shi, Zhongxiang, Chen, Yixin, Liu, Aoyu, Zeng, Jingya, Xie, Wanlin, Lin, Xin, Cheng, Yangyang, Xu, Huimin, Zhou, Jialing, Gao, Shan, Feng, Chunyuan, Zhang, HongxiaAff2, IDs1209402403688x_cor12, Sun, YihuaAff1, IDs1209402403688x_cor13

    المصدر: Clinical and Translational Oncology. :1-12

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  6. 6
    دورية أكاديمية
    A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study

    المؤلفون: Lun, Yuqiang, Yuan, Hao, Ma, Pengwei, Chen, Jiawei, Lu, Peiheng, Wang, Weilong, Liang, Rui, Zhang, Junjun, Gao, Wei, Ding, Xuerui, Li, Siyu, Wang, Zi, Guo, Jianing, Lu, LianjunAff1, IDs12020024037971_cor14

    المصدر: Endocrine: International Journal of Basic and Clinical Endocrinology. :1-9

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  7. 7
    دورية أكاديمية
    A prediction model of elderly hip fracture mortality including preoperative red cell distribution width constructed based on the random survival forest (RSF) and Cox risk ratio regression

    المؤلفون: Zhou, Ying-feng, Wang, Jiao, Wang, Xin-lin, Song, Shu-shu, Bai, Yue, Li, Jian-lin, Luo, Jing-yu, Jin, Qi-qi, Cai, Wei-cha, Yuan, Kai-mingAff1, IDs00198023069880_cor10, Li, JunAff1, IDs00198023069880_cor11

    المصدر: Osteoporosis International: With other metabolic bone diseases. 35(4):613-623

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  8. 8
    دورية أكاديمية
    Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method

    المؤلفون: Mehdi Sharafi, Mohammad Ali Mohsenpour, Sima Afrashteh, Mohammad Hassan Eftekhari, Azizallah Dehghan, Akram Farhadi, Aboubakr Jafarnezhad, Abdoljabbar Zakeri, Mehdi Azizmohammad Looha

    المصدر: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)

    مصطلحات موضوعية: Survival analysis, Prediabetic, Cox regression model, Random Survival Forest, Afternoon sleep, Depression, Computer applications to medicine. Medical informatics, R858-859.7

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1472-6947

    URL الوصول: https://doaj.org/article/75ea445e41ad40b8bdfb662d45bc1a45

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  9. 9
    دورية أكاديمية
    Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach

    المؤلفون: Leili Tapak, Leila Nezamabadi Farahani, Naeeme Taslimi Taleghani, Nazanin Ebrahimiadib, Elias Khalili Pour, Afsar Dastjani Farahani, Omid Hamidi

    المصدر: BMC Ophthalmology, Vol 24, Iss 1, Pp 1-16 (2024)

    مصطلحات موضوعية: Retinopathy of prematurity ROP, Machine learning, Random survival forest, Neonatal risk factor, Maternal risk factors, Ophthalmology, RE1-994

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1471-2415

    URL الوصول: https://doaj.org/article/7b1750b5971f4e1b87cfd64f6697ae57

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  10. 10
    دورية أكاديمية
    Development and validation of novel interpretable survival prediction models based on drug exposures for severe heart failure during vulnerable period

    المؤلفون: Yu Guo, Fang Yu, Fang-Fang Jiang, Sun-Jun Yin, Meng-Han Jiang, Ya-Jia Li, Hai-Ying Yang, Li-Rong Chen, Wen-Ke Cai, Gong-Hao He

    المصدر: Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-10 (2024)

    مصطلحات موضوعية: Severe heart failure, Survival model, Cox proportional hazards model, Random survival forest, DeepSurv, Medicine

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1479-5876

    URL الوصول: https://doaj.org/article/6341b268e25a4dda8ad16fca43f31f08

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