يعرض 1 - 10 نتائج من 250 نتيجة بحث عن '"Causal Forest"', وقت الاستعلام: 0.88s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging

    المؤلفون: Gabriel Solana-Lavalle, Michael D. Cusimano, Thomas Steeves, Roberto Rosas-Romero, Pascal N. Tyrrell

    المصدر: Tomography, Vol 10, Iss 6, Pp 894-911 (2024)

    مصطلحات موضوعية: computer-assisted, Causal Forest, functional Magnetic Resonance Imaging, Machine Learning, Multiple Correspondence Analysis, Parkinson’s disease detection, Computer applications to medicine. Medical informatics, R858-859.7

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2379-139X/10/6/68; https://doaj.org/toc/2379-1381; https://doaj.org/toc/2379-139X

    URL الوصول: https://doaj.org/article/71ca4be3a2cf4f119f45874657b34c1c

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  2. 2
    دورية أكاديمية
    When do Risky Substitutions Improve Match Outcomes? Interpreting Causal Machine Learning Models for Insights

    المؤلفون: Ali, O.G., Yilmaz, E.

    المصدر: IEEE Access Access, IEEE. 11:131351-131361 2023

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  3. 3
    مؤتمر
    Prediction of the Impact of Mobile Payments on the Consumption of Individual Nodes on Communication Networks

    المؤلفون: Kong, Xiangbin, Ouyang, Xiuping, Li, Hao, Lin, Min, Chen, Xiang, Liao, Juan, Liu, Huifang, Liu, Bingqing

    المصدر: 2022 IEEE 9th International Conference on Cyber Security and Cloud Computing (CSCloud)/2022 IEEE 8th International Conference on Edge Computing and Scalable Cloud (EdgeCom) CSCLOUD-EDGECOM Cyber Security and Cloud Computing (CSCloud)/2022 IEEE 8th International Conference on Edge Computing and Scalable Cloud (EdgeCom), 2022 IEEE 9th International Conference on. :186-194 Jun, 2022

    Relation: 2022 IEEE 9th International Conference on Cyber Security and Cloud Computing (CSCloud)/2022 IEEE 8th International Conference on Edge Computing and Scalable Cloud (EdgeCom)

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  4. 4
    دورية أكاديمية
    Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management.

    المؤلفون: Inoue, Kosuke, Athey, Susan, Tsugawa, Yusuke

    المصدر: International Journal of Epidemiology. 52(4)

    مصطلحات موضوعية: Causal forest, blood pressure, cardiovascular events, heterogeneous treatment effect, high-benefit approach, Adult, Humans, Blood Pressure, Hypertension, Nutrition Surveys, Machine Learning, Antihypertensive Agents, Randomized Controlled Trials as Topic

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/8mk001db

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  5. 5
    كتاب إلكتروني
    Assessing Cross-Level Interactions in Clustered Data Using CATE Estimation Methods

    المؤلفون: Kim, Jee-SeonAff6, Liao, XiangyiAff6, Loh, Wen WeiAff7

    المساهمون: Wiberg, MarieAff1, Kim, Jee-SeonAff2, Hwang, Heungsun, editorAff3, Wu, Hao, editorAff4, Sweet, Tracy, editorAff5

    المصدر: Quantitative Psychology : The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023. 452:87-97

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  6. 6
    كتاب إلكتروني
    Exploring Conceptual Differences Among Nonparametric Estimators of Treatment Heterogeneity in the Context of Clustered Data

    المؤلفون: Buhrman, GrahamAff6, Liao, XiangyiAff6, Kim, Jee-SeonAff6

    المساهمون: Wiberg, MarieAff1, Kim, Jee-SeonAff2, Hwang, Heungsun, editorAff3, Wu, Hao, editorAff4, Sweet, Tracy, editorAff5

    المصدر: Quantitative Psychology : The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023. 452:261-274

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  7. 7
    دورية أكاديمية
    Assessing the properties of patient-specific treatment effect estimates from causal forest algorithms under essential heterogeneity

    المؤلفون: John M. Brooks, Cole G. Chapman, Brian K. Chen, Sarah B. Floyd, Neset Hikmet

    المصدر: BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-15 (2024)

    مصطلحات موضوعية: Machine learning, Causal Forest Algorithm (CFA), Treatment effect estimation, Simulation modeling, Linear probability estimators, Medicine (General), R5-920

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1471-2288

    URL الوصول: https://doaj.org/article/4444953d450246d4bb66205f538a5e38

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  8. 8
    دورية أكاديمية
    A prospective exploration of the urban exposome in relation to headache in the Dutch population-based Occupational and environmental health cohort study (AMIGO)

    المؤلفون: Eugenio Traini, Lützen Portengen, Haykanush Ohanyan, Robert van Vorstenbosch, Roel Vermeulen, Anke Huss

    المصدر: Environment International, Vol 188, Iss , Pp 108776- (2024)

    مصطلحات موضوعية: Urban exposome, Headache, Boruta, Causal forest, Environmental sciences, GE1-350

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S0160412024003623; https://doaj.org/toc/0160-4120

    URL الوصول: https://doaj.org/article/c96c47750a664f849fb8d300be5bf8b2

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  9. 9
    دورية أكاديمية
    Proof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability

    المؤلفون: Ymkje Anna deVries, Jordi Alonso, Somnath Chatterji, Peter deJonge, Joran Lokkerbol, John J. McGrath, Maria V. Petukhova, Nancy A. Sampson, Erik Sverdrup, Daniel V. Vigo, Stefan Wager, Ali Al‐Hamzawi, Guilherme Borges, Ronny Bruffaerts, Brendan Bunting, Stephanie Chardoul, Elie G. Karam, Andrzej Kiejna, Viviane Kovess‐Masfety, Fernando Navarro‐Mateu, Akin Ojagbemi, Marina Piazza, José Posada‐Villa, Carmen Sasu, Kate M. Scott, Hisateru Tachimori, Margreet Ten Have, Yolanda Torres, Maria Carmen Viana, Manuel Zamparini, Zahari Zarkov, Ronald C. Kessler, World Mental Health Survey Collaborators

    المصدر: International Journal of Methods in Psychiatric Research, Vol 33, Iss 1, Pp n/a-n/a (2024)

    مصطلحات موضوعية: causal forest, comorbidity, disability, global burden of disease, mental disorders, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1049-8931; https://doaj.org/toc/1557-0657

    URL الوصول: https://doaj.org/article/141212e3f5624a249f0eab1f5192b31e

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  10. 10
    دورية أكاديمية
    Post-traumatic stress and future substance use outcomes: leveraging antecedent factors to stratify risk

    المؤلفون: Henri M. Garrison-Desany, Jacquelyn L. Meyers, Sarah D. Linnstaedt, Stacey L. House, Francesca L. Beaudoin, Xinming An, Donglin Zeng, Thomas C. Neylan, Gari D. Clifford, Tanja Jovanovic, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, John P. Haran, Alan B. Storrow, Christopher Lewandowski, Paul I. Musey, Phyllis L. Hendry, Sophia Sheikh, Christopher W. Jones, Brittany E. Punches, Robert A. Swor, Nina T. Gentile, Lauren A. Hudak, Jose L. Pascual, Mark J. Seamon, Erica Harris, Claire Pearson, David A. Peak, Robert M. Domeier, Niels K. Rathlev, Brian J. O’Neil, Paulina Sergot, Leon D. Sanchez, Steven E. Bruce, Jutta Joormann, Steven E. Harte, Samuel A. McLean, Karestan C. Koenen, Christy A. Denckla

    المصدر: Frontiers in Psychiatry, Vol 15 (2024)

    مصطلحات موضوعية: post-traumatic stress disorder, substance use, causal forest, effect modification, socioenvironmental factors, tobacco, Psychiatry, RC435-571

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1249382/full; https://doaj.org/toc/1664-0640

    URL الوصول: https://doaj.org/article/83b197588a884c9e871ee94f8b386051

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