Resultados de búsqueda - Random forest algorithms~

Impact of Attachment on Emotional Experience and Expression: A Physiological and Acoustic Investigation. por Hu, Han, Gu, Wentao

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Construction and validation of secondary ectopic risk prediction model for PICC catheters in preterm infants based on random forest algorithm. por GUO, Yongqin, DOU, Yingying, LI, Jianli, WANG, Li, HU, Jing

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Real-time fatigue monitoring system for motorcycle riders using sensors and a random forest algorithm. por Soenandi, Iwan Aang, Widodo, Lamto, Hayat, Cynthia, Harsono, Budi, Eratus Siswahono, Sinode, Jonsmith Djaha, Rymartin

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Application of random forest algorithm in identifying the risk of adverse nursing events. por WANG, Jing, HE, Jinyang, FANG, Pingping, WU, Yiling, LIU, Xiao

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Identifying suicide ideation in mental health application posts: A random forest algorithm. por Moradian, Hoora, Lau, Mark A., Miki, Andrew, Klonsky, E. David, Chapman, Alexander L.

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Prediction Model of Adverse Pregnancy Outcome in Pre-Eclampsia Based on Logistic Regression and Random Forest Algorithm. por Lingyan Wang, Yun Mo, Peili Wang, Weiwei Shen, Li Xu, Gang Zhao, Jiali Lu

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Artificial Intelligence Applied to a First Screening of Naevoid Melanoma: A New Use of Fast Random Forest Algorithm in Dermatopathology. por Cazzato, Gerardo, Massaro, Alessandro, Colagrande, Anna, Trilli, Irma, Ingravallo, Giuseppe, Casatta, Nadia, Lupo, Carmelo, Ronchi, Andrea, Franco, Renato, Maiorano, Eugenio, Vacca, Angelo

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Predicting distal tibia fracture type using demographic, vehicle, and crash factors via a random forest classification algorithm. por Bangert, L. Garrett, Armstrong, William, Shangin, Edward, Stitzel, Joel D., Martin, R. Shayn, Miller, Anna N., Riexinger, Luke E., Weaver, Ashley A., Collins, Caitlyn J.

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Nutritional Characteristics of Foods With Addictive Potential: A Machine-Learning Approach. por Gearhardt, Ashley N., Hutelin, Zach, Nartey, Emmanuel, Ahrens, Monica L., Baugh, Mary Elizabeth, Fazzino, Tera L., LaFata, Erica M., Sonneville, Kendrin R., DiFeliceantonio, Alexandra G.

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Hybrid Classifier for Optimizing Mental Health Prediction: Feature Engineering and Fusion Technique. por Yadav, Gaurav, Bokhari, Mohammad Ubaidullah

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Study on the spatial regularity of rammed pits of the Ming Great Wall using 3D scanning technique and Random Forest algorithm. por Zhang, Shuai, Chen, Wenwu, Guo, Zhiqian

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Which dimensions of clear teaching are most important? Dominance analysis and random forests. por Bolkan, San, Goodboy, Alan K.

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Development of a Pancreatic Fistula Prediction Model After Pancreaticoduodenectomy Based on a Decision Tree and Random Forest Algorithm. por Zheng, Jisheng, Lv, Xiaoqin, Jiang, Lihui, Liu, Haiwei, Zhao, Xiaomin

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From Readiness to Response: AIDriven Antenatal Risk Assessment (mHealth application) and Machine Learning techniques for Midwives Predicting Maternal and Neonatal Outcomes in Low R... por Devi, Seeta, Sayyed, Faheemuddin, Awasthi, Sanidhya, Sonchhatra, Raghav

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PREDICTING THE SALES OF CARS USING RANDOM FOREST ALGORITHM. por T., DEVI, DEEPA, N.

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Development and Validation of Machine Learning-Based Models for Predicting Postoperative Depression Risk in Patients With Ovarian Cancer. por Zhao, Jitong, Pei, Kaige, Liu, Junhan, Bian, Ce, Ling, Chen

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Emergency triage classification with machine learning. A Colombian Case. por Paz, Helmer, Anacona, Yesid, Quiliche, Renato, Chong, Mario

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Cross-linguistic authorship attribution and gender profiling. Machine translation as a method for bridging the language gap. por Mikros, George, Boumparis, Dimitris

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Prediction of Repeated Self-Harm in Six Months: Comparison of Traditional Psychometrics With Random Forest Algorithm. por Chen, Shu-Chin, Huang, Hui-Chun, Liu, Shen-Ing, Chen, Sue-Huei

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Establishment and validation of a risk prediction model for patients after pancreaticoduodenectomy based on the random forest algorithm. por WANG Yanhui, YUE Xian, ZHENG Ruishuang, ZHAO Jiamei, WU Yuan, ZHANG Jixuan

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