Resultados de búsqueda - Random forest algorithms

Exploring the Evidence to Interpret Differential Item Functioning via Response Process Data. por Li, Ziying, Shin, Jinnie, Kuang, Huan, Huggins-Manley, A. Corinne

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Exploring fathers' psychological well‐being using supervised machine learning random forest analysis. por Ko, Kwangman, Rodriguez, Matthew R.

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Exploring father–adolescent closeness: A random forest approach. por Pace, Garrett T., Lee, Joyce Y., Ward, Kaitlin P., Chang, Olivia D.

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Development and validation of a model to predict the progression of Alzheimer's disease. por Chu, Chenyin, Wang, Yihan, Huynh, Andrew L H, Ng, Ka Weng, Liu, Shu, Ji, Guangyan, Doecke, James, Fripp, Jurgen, Masters, Colin L, Goudey, Benjamin, Jin, Liang, Pan, Yijun

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Using the Minnesota Multiphasic Personality Inventory–2 Restructured Form to Predict Functioning After Treatment for Borderline Personality Disorder: A Machine Learning Approach. por Wibbelink, Carlijn J. M., Sellbom, Martin, Grasman, Raoul P. P. P., Arntz, Arnoud, Sinnaeve, Roland, Kamphuis, Jan H.

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Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept. por Lanovaz, Marc J., Hernandez, Varsovia, León, Alejandro

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Transforming Mortality Prediction: A Transformer-Based Mortality Prediction Model. por Weiss, Jordan, Azhir, Alaleh, Ram, Nilam, Rehkopf, David H

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Integrating Machine Learning and Environmental and Genetic Risk Factors for the Early Detection of Preclinical Alzheimer's Disease. por Al-Hammadi, Noor, Abouelyazid, Mahmoud, Brown, David C, Lalwani, Pooja, Devos, Hannes, Carr, David B, Babulal, Ganesh M

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Machine Learning Techniques For Analyzing Inscriptions From Israel. por Tagami, Daiki, Satlow, Michael

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Potentially inappropriate polypharmacy is an important predictor of 30-day emergency hospitalisation in older adults: a machine learning feature validation study. por Olender, Robert T, Roy, Sandipan, Nishtala, Prasad S

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Prediction of Social Engagement in Long-Term Care Homes by Sex: A Population-Based Analysis Using Machine Learning. por Abedi, Ali, Khan, Shehroz S., Iaboni, Andrea, Bronskill, Susan E., Bethell, Jennifer

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Economic Measurement Lost in a Random Forest? A Case Study of Employment Data. por Dunn, Abe, English, Eric, Hood, Kyle, Mason, Lowell, Quistorff, Brian

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Makina Öğrenmesi Yoluyla İşsizlik Oranlarının Tahmini: Türkiye İçin Bir Uygulama. por Ertürkmen, Gülferah, Öter, Ali

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Diverging Roads: Theory-Based vs. Machine Learning-Implied Stock Risk Premia. por Grammig, Joachim, Hanenberg, Constantin, Schlag, Christian, Sönksen, Jantje

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Eficacia de un modelo de inteligencia artificial (IA) para predecir el riesgo de desarrollar sobrepeso y obesidad en la infancia. por González-Garay, Alejandro, Macias-Toro, Edward, Serralde-Zúñiga, Aurora, Estrada-Moya, Fernando

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Long-Lasting Insecticide-Treated Net Use Gaps and Severity Predictors in a Pre-Elimination Landscape: A Retrospective Observational Study in Mberengwa, Zimbabwe. por Chivasa, Tafadzwa, Nunu, Wilfred Njabulo, Dhlamini, Mlamuli, Maviza, Auther

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DATA MINING FOR THE EARLY DETECTION OF CYBERATTACKS ON ENTERPRISE NETWORKS. por Morales, Brandon, Panduro, Enmanuel, Luque, Dikxon, Andrade, Teodoro, Chiri, Carlos

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Intrusion Detection in Industrial IoT Networks using NetFlow and Machine Learning Techniques on the NF-ToN-IoT-v2 Dataset. por Almusawy, Buraq N.

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Development and Validation of Prediction Models for Incident Reversible Cognitive Frailty Based on Social-Ecological Predictors Using Generalized Linear Mixed Model and Machine Lea... por Liu, Qinqin, Si, Huaxin, Li, Yanyan, Zhou, Wendie, Yu, Jiaqi, Bian, Yanhui, Wang, Cuili

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Rural‐Urban Differences in the Determinants of Subjective Well‐Being Among X/Twitter Users in the United States. por Jiang, Wenting, Zhang, Mengxi, Wu, Connor Y. H., Dong, Weichuan

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