Search Results - Random forest algorithms

A random forest algorithm-based prediction model for moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia. by Shi, Gaoxiang, Liu, Geliang, Gao, Qichao, Zhang, Shengxiao, Wang, Qi, Wu, Li, He, Peifeng, Yu, Qi

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Analyzing the Interactions between Environmental Parameters and Cardiovascular Diseases Using Random Forest and SHAP Algorithms. by Castronuovo, Gianfranco, Favia, Gianfranco, Telesca, Vito, Vammacigno, Andrea

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Factors associated with the prognosis of diabetic foot ulcers treated with silver ion hydrogel dressings combined with negative pressure wound therapy and the construction of a ris... by Ding, Sheng, Gong, Yin, Song, Mingming, Guo, Zaiwen, Sun, Ran, Liu, Yunfeng, Ge, Zili

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Stylometric analysis of characters in Shakespeare's plays. by Savoy, Jacques

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Mpox Awareness and Knowledge Among Residents of the Northern Border Region, Saudi Arabia: Implications for Community Preparedness. by Abu Alsel, Baraah, Alenezi, Elaf Ali A., Alanazi, Hajar Abdullah K., Alenezi, Fai Tulail N., Alenezi, Waten led Atiwi, Al Suogaih, Munirah Suliman, Alanazi, Rimas Khalid A., Al Suogaih, Norah Suliman, Esmaeel, Safya E., Mersal, Fathia Ahmed, Fahmy, Eslam K., Ismail, Mohammed M., Fawzy, Manal S.

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Personalized Treatment Selection for Digital Eating Disorder Interventions: A Proof‐of‐Concept for the Personalized Advantage Index. by McClure, Zoe, Fuller‐Tyszkiewicz, Matthew, Messer, Mariel, Linardon, Jake

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Predicting Elder Abuse Using a Random Forest Classifier. by Zeng, Qiyan, Wang, Yannan, Zhao, Fuming, He, Zhipeng

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Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review. by Dalsania, Kunal Ashok, Ménard, Alixe, Sundararaman, Shruthi, Rahgozar, Arya, de Lima, Sarah, Lu, Xintong, Al‐Ali, Aya, Singh, Krishnpriya, Hakimjavadi, Ramtin, Yan, Hui, Sethuram, Claire, Bergman, Howard, LaPlante, Jim, McIsaac, Daniel, Rahimi, Samira Abbasgholizadeh, Sourial, Nadia, Thandi, Manpreet, Wong, Sabrina, Liddy, Clare, Bandeen‐Roche, Karen

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Factors associated with respite care use among veteran caregivers: a machine learning analysis. by Harris-Gersten, Melissa, Li, Zhen, Patel, Pujan, Lo, Jeanie, Shepherd-Banigan, Megan, Miller, Katherine, Jacobs, Josephine, Hastings, Susan N, Majette, Nadya, Dictus, Cassandra

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Memorability of line drawings of scenes: the role of contour properties. by Han, Seohee, Rezanejad, Morteza, Walther, Dirk B.

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Gambling: A Story of Remarkable Stability in Fast-Changing High Streets. by Li, Luning, Tranos, Emmanouil

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Attitudes and Abracadabra: How Do Skeptical, Superstitious, and Paranormal Beliefs Predict Enjoying Performance Magic? by Silvia, Paul J., Crasson, Sara J., Greengross, Gil, Karwowski, Maciej, Rodriguez-Boerwinkle, Rebekah M.

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Taxi drivers' traffic violations detection using random forest algorithm: A case study in China. by Wan, Ming, Wu, Qian, Yan, Lixin, Guo, Junhua, Li, Wenxia, Lin, Wei, Lu, Shan

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Which model is better in predicting the survival of laryngeal squamous cell carcinoma? Comparison of the random survival forest based on machine learning algorithms to Cox regressi... by Haili Sun, Shuangshuang Wu, Shaoxiao Li, Xiaohua Jiang

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Physiological State Evaluation in Working Environment Using Expert System and Random Forest Machine Learning Algorithm. by Butkevičiūtė, Eglė, Bikulčienė, Liepa, Žvironienė, Aušra

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Multicenter analysis and a rapid screening model to predict early novel coronavirus pneumonia using a random forest algorithm. by Suxia Bao, Hong-yi Pan, Wei Zheng, Qing-Qing Wu, Yi-Ning Dai, Nan-Nan Sun, Tian-Chen Hui, Wen-Hao Wu, Yi-Cheng Huang, Guo-Bo Chen, Qiao-Qiao Yin, Li-Juan Wu, Rong Yan, Ming-Shan Wang, Mei-Juan Chen, Jia-Jie Zhang, Li-Xia Yu, Ji-Chan Shi, Nian Fang, Yue-Fei Shen

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Exploring Machine Learning to Support Decision-Making for Placement Stabilization and Preservation in Child Welfare. by Chor, Ka Ho Brian, Luo, Zhidi, Rodolfa, Kit T., Ghani, Rayid

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Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study. by Anzai, Emi, Ren, Dian, Cazenille, Leo, Aubert-Kato, Nathanael, Tripette, Julien, Ohta, Yuji

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Serological indices and ultrasound variables in predicting the staging of hepatitis B liver fibrosis: A comparative study based on random forest algorithm and traditional methods. by Xie, Daolin, Ying, Minghua, Lian, Jingru, Li, Xin, Liu, Fangyi, Yu, Xiaoling, Ni, Caifang

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Risk prediction model for early postoperative death in patients with hepatocellular carcinoma: a retrospective study based on random forest algorithm and logistic regression. by Gao, Yang, Wu, Fu-gui, Guo, Wen-bo, Zheng, Hao, Zhang, Lu, Chen, Xiu-li, Li, Man

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