Resultados de búsqueda - Random forest algorithms

A Novel Immune-Related Gene Signature Predicts Prognosis of Lung Adenocarcinoma. por Ma, Chao, Li, Feng, Wang, Ziming, Luo, Huan

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Climatic factors influence the spread of COVID-19 in Russia. por Pramanik, Malay, Udmale, Parmeshwar, Bisht, Praffulit, Chowdhury, Koushik, Szabo, Sylvia, Pal, Indrajit

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Fine-grained investigation of the relationship between human nutrition and global DNA methylation patterns. por Noro, Fabrizia, Marotta, Annalisa, Bonaccio, Marialaura, Costanzo, Simona, Santonastaso, Federica, Orlandi, Sabatino, Tirozzi, Alfonsina, Parisi, Roberta, De Curtis, Amalia, Persichillo, Mariarosaria, Gianfagna, Francesco, Di Castelnuovo, Augusto, Donati, Maria Benedetta, Cerletti, Chiara, de Gaetano, Giovanni, Iacoviello, Licia, Gialluisi, Alessandro, Izzi, Benedetta, Moli-sani Study Investigators, Bonanni, Americo

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Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network. por Duan, Yixuan, Xie, Enrui, Liu, Chang, Sun, Jingjing, Deng, Jie

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Identifying Coronary Artery Lesions by Feature Analysis of Radial Pulse Wave: A Case-Control Study. por Zhang, Chun-ke, Liu, Lu, Wu, Wen-jie, Wang, Yi-qin, Yan, Hai-xia, Guo, Rui, Yan, Jian-jun

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Automating the Clinical Assessment of Independent Wheelchair Sitting Pivot Transfer Techniques. por Wei, Lin, Chung, Cheng-Shiu, Koontz, Alicia M.

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Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans. por Moawad, Ahmed W., Ahmed, Ayahallah, Fuentes, David T., Hazle, John D., Habra, Mouhammed A., Elsayes, Khaled M.

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Development and external validation of a machine learning-based model for identifying advanced Parkinson's disease. por Tan, Xiao-Ru, Zhou, Shao-Dan, Lv, Bing-Hua, Wei, Fu-Zan, Teng, Wen-Bin, Qin, Chao, Hu, Rui-Ting

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基于机器学习算法的农村老年人衰弱风险 预测模型的构建与评价. por 于 珊, 车雅洁, 苏比伊努尔·麦麦提, 王梦瑶, 仝逸辉, 颜 萍

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Predicting Somatization Risk Among Infectious Disease Disaster Frontline Nurses Using Machine Learning. por Shin, Sung-Hee, Yun, Eun Kyoung

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Development and Validation of Machine Learning Algorithms for Predicting Prolonged Postoperative Opioid Use in Spinal Metastatic Disease. por Chintapalli, Renuka, Heesen, Philip, Desai, Atman

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Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotat... por Naunton, Josh, Jiang, Yanran, Bini, Rodrigo, Kidgell, Dawson, Bennell, Kim, Haines, Terry, Kulić, Dana, Malliaras, Peter

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Assessing Quality Gap of the Employee Critical Illness Mutual Aid Fund Using the SERQUAL Model. por Lu, Lin, Sun, Hui, Zhang, Weixin, Wesley, Hannah

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Artificial intelligence diagnostic accuracy and clinical utility in allergic rhinitis management: Systematic review. por Alrezq, Dana Adel, Aldaghmani, Abdulaziz M., Alali, Jana J., Aljowaid, Marwa A., Alkhamis, Zahra Abdulaziz, Alarqan, Lamar M., Almughni, Mutrik J., Albalawi, Hanan A., Alruwaili, Njood Khalifa, Almusally, Rayyan M.

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Ki-67 expression correlates with hepatocellular carcinoma recurrence and is predictable using radiomics features. por Nong, Haiyang, Cen, Yongyi, Pan, Zhaolin, Huang, Yin, Chen, Jiaxin, Huang, Deyou, Ding, Ke

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Machine Learning Approaches to Identify Physical, Psychological, and Social Predictors of Worsening Frailty Transitions Among Community‐Dwelling Older Adults: A Longitudinal Cohort... por Chen, I‐Hui, Yeh, Tzu‐Pei, Tang, Yi‐Hua, Kuo, Fang‐Lin, Chen, Chao‐Hsuan, Lin, Yen‐Kuang

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The Role of Artificial Intelligence in Human Gait Biomechanics: A Systematic Review. por Saburi, Leila, Piri, Ebrahim

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Past Marking in Australian Aboriginal English on Croker Island: Local Versus Cross-Variety Patterns and Principles. por Hackert, Stephanie, Laliberté, Catherine, Mailhammer, Robert, Wengler, Diana, Zeidan, Ronia

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Predicting response to Cognitive Processing Therapy for PTSD: A machine-learning approach. por Nixon, Reginald D.V., King, Matthew W., Smith, Brian N., Gradus, Jaimie L., Resick, Patricia A., Galovski, Tara E.

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Predictive modelling as a tool for effective municipal waste management policy at different territorial levels. por Rosecký, Martin, Šomplák, Radovan, Slavík, Jan, Kalina, Jiří, Bulková, Gabriela, Bednář, Josef

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