Resultados de búsqueda - Random forest algorithms

Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures. por McDonald, Anthony D., Ferris, Thomas K., Wiener, Tyler A.

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Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton. por Dieu, Olivier, Schnitzler, Christophe, Llena, Clément, Potdevin, François

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Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty. por Kunze, Kyle N., Karhade, Aditya V., Sadauskas, Alex J., Schwab, Joseph H., Levine, Brett R.

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Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. por Sudre, Carole H., Panovska-Griffiths, Jasmina, Sanverdi, Eser, Brandner, Sebastian, Katsaros, Vasileios K., Stranjalis, George, Pizzini, Francesca B., Ghimenton, Claudio, Surlan-Popovic, Katarina, Avsenik, Jernej, Spampinato, Maria Vittoria, Nigro, Mario, Chatterjee, Arindam R., Attye, Arnaud, Grand, Sylvie, Krainik, Alexandre, Anzalone, Nicoletta, Conte, Gian Marco, Romeo, Valeria, Ugga, Lorenzo

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Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study. por Jauk, Stefanie, Kramer, Diether, Großauer, Birgit, Rienmüller, Susanne, Avian, Alexander, Berghold, Andrea, Leodolter, Werner, Schulz, Stefan

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Label-free histomorphometry of peripheral nerve by stimulated Raman spectroscopy. por Coto Hernández, Iván, Yang, Wenlong, Mohan, Suresh, Jowett, Nate

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Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. por LIENHART, Anna Maria, KRAMER, Diether, JAUK, Stefanie, GUGATSCHKA, Markus, LEODOLTER, Werner, SCHLEGL, Thomas

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Comparison of Unplanned 30-Day Readmission Prediction Models, Based on Hospital Warehouse and Demographic Data...30th Medical Informatics Europe Conference por DHALLUIN, Thibault, BANNAY, Aurélie, LEMORDANT, Pierre, SYLVESTRE, Emmanuelle, CHAZARD, Emmanuel, CUGGIA, Marc, BOUZILLE, Guillaume

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Predicting future suicidal behaviour in young adults, with different machine learning techniques: A population-based longitudinal study. por van Mens, Kasper, de Schepper, CWM, Wijnen, Ben, Koldijk, Saskia J, Schnack, Hugo, de Looff, Peter, Lokkerbol, Joran, Wetherall, Karen, Cleare, Seonaid, C O'Connor, Rory, de Beurs, Derek

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Free-living Evaluation of Laboratory-based Activity Classifiers in Preschoolers. por AHMADI, MATTHEW N., BROOKES, DENISE, CHOWDHURY, ALOK, PAVEY, TOBY, TROST, STEWART G.

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min-SIA: a Lightweight Algorithm to Predict the Risk of 6-Month Mortality at the Time of Hospital Admission. por Sahni, Nishant, Tourani, Roshan, Sullivan, Donald, Simon, Gyorgy

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Using machine learning to classify suicide attempt history among youth in medical care settings. por Burke, Taylor A., Jacobucci, Ross, Ammerman, Brooke A., Alloy, Lauren B., Diamond, Guy

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Associations of maternal hyperglycemia in the second and third trimesters of pregnancy with prematurity. por Dong Zhao, ShaSha Yuan, Yan Ma, Ya Xin An, Yu Xian Yang, Jin Kui Yang, Zhao, Dong, Yuan, ShaSha, Ma, Yan, An, Ya Xin, Yang, Yu Xian, Yang, Jin Kui

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Downregulated transferrin receptor in the blood predicts recurrent MDD in the elderly cohort: A fuzzy forests approach. por Ciobanu, Liliana G., Sachdev, Perminder S., Trollor, Julian N., Reppermund, Simone, Thalamuthu, Anbupalam, Mather, Karen A., Cohen-Woods, Sarah, Stacey, David, Toben, Catherine, Schubert, K. Oliver, Baune, Bernhard T.

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Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas. por Wang, Hexiang, Chen, Haisong, Duan, Shaofeng, Hao, Dapeng, Liu, Jihua

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Machine Learning Approach to Identify Stroke Within 4.5 Hours. por Lee, Hyunna, Lee, Eun-Jae, Ham, Sungwon, Lee, Han-Bin, Lee, Ji Sung, Kwon, Sun U., Kim, Jong S., Kim, Namkug, Kang, Dong-Wha

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The application of unsupervised deep learning in predictive models using electronic health records. por Wang, Lei, Tong, Liping, Davis, Darcy, Arnold, Tim, Esposito, Tina

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Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenu... por Zhao, Sha-Sha, Feng, Xiu-Long, Hu, Yu-Chuan, Han, Yu, Tian, Qiang, Sun, Ying-Zhi, Zhang, Jie, Ge, Xiang-Wei, Cheng, Si-Chao, Li, Xiu-Li, Mao, Li, Shen, Shu-Ning, Yan, Lin-Feng, Cui, Guang-Bin, Wang, Wen

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Population‐Specific Patterns of Epigenetic Defects in the B Cell Lineage in Patients With Systemic Lupus Erythematosus. por Breitbach, Megan E., Ramaker, Ryne C., Roberts, Kevin, Kimberly, Robert P., Absher, Devin

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Heart Failure Symptoms Profile Associated With Depressive Symptoms. por Graven, Lucinda J., Higgins, Melinda K., Reilly, Carolyn M., Dunbar, Sandra B.

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