Search Results - Random forest algorithms

Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks. by Nambisan, Anand K., Maurya, Akanksha, Lama, Norsang, Phan, Thanh, Patel, Gehana, Miller, Keith, Lama, Binita, Hagerty, Jason, Stanley, Ronald, Stoecker, William V.

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Uncovering Heterogeneous Associations Between Disaster-Related Trauma and Subsequent Functional Limitations: A Machine-Learning Approach. by Shiba, Koichiro, Daoud, Adel, Hikichi, Hiroyuki, Yazawa, Aki, Aida, Jun, Kondo, Katsunori, Kawachi, Ichiro

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Identification of Highly Sensitive Pleural Effusion Protein Biomarkers for Malignant Pleural Mesothelioma by Affinity-Based Quantitative Proteomics. by Palstrøm, Nicolai B., Overgaard, Martin, Licht, Peter, Beck, Hans C.

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Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment. by Vrdoljak, Josip, Boban, Zvonimir, Barić, Domjan, Šegvić, Darko, Kumrić, Marko, Avirović, Manuela, Perić Balja, Melita, Periša, Marija Milković, Tomasović, Čedna, Tomić, Snježana, Vrdoljak, Eduard, Božić, Joško

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Machine Learning-Based Mortality Prediction Model for Critically Ill Cancer Patients Admitted to the Intensive Care Unit (CanICU). by Ko, Ryoung-Eun, Cho, Jaehyeong, Shin, Min-Kyue, Oh, Sung Woo, Seong, Yeonchan, Jeon, Jeongseok, Jeon, Kyeongman, Paik, Soonmyung, Lim, Joon Seok, Shin, Sang Joon, Ahn, Joong Bae, Park, Jong Hyuck, You, Seng Chan, Kim, Han Sang

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Machine Learning Analysis of the Cerebrovascular Thrombi Lipidome in Acute Ischemic Stroke. by Martha, Sarah R., Levy, Samuel H., Federico, Emma, Levitt, Michael R., Walker, Melanie

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Effects of opium use on one-year major adverse cardiovascular events (MACE) in the patients with ST-segment elevation MI undergoing primary PCI: a propensity score matched - machin... by Jenab, Yaser, Hedayat, Behnam, Karimi, Amirali, Taaghi, Sarah, Ghorashi, Seyyed Mojtaba, Ekhtiari, Hamed

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Mobile APP-assisted family physician program for improving blood pressure outcome in hypertensive patients. by Xing, Fang, Guo, Yijia, Xia, Nan, Zhang, Suolei, Yin, Jinfeng, Qin, Liyi, Zhu, Chendi, Gao, Qing, Jia, Junnan, Zhao, Yuesong, Qi, Yousheng, Li, Weimin

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Artificial intelligence for improved decision-making in diabetic emergency survival: A cross-sectional study. by Nikentari, Lintang Arum, Kristianto, Heri, Yuliatun, Laily, Haedar, Ali, Tirma Irawan, Paulus Lucky

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The use of machine learning in predicting clinical outcomes in emergency pre-examination triage: A systematic review of the literature. by Jiang, Yao, Zhao, Jing, Juan, Hu

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Importance of details in food descriptions in estimating population nutrient intake distributions. by Zhang, Liangzi, Geelen, Anouk, Boshuizen, Hendriek C., Ferreira, José, Ocké, Marga C.

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Prediction of Incident Delirium Using a Random Forest classifier. by Corradi, John P., Thompson, Stephen, Mather, Jeffrey F., Waszynski, Christine M., Dicks, Robert S.

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Patterns, drivers and projections of carbon footprints in urban Chinese households: Based on interdisciplinary approaches. by Hao, Haoyu, Guo, Xuepeng, Wang, Chenyang, Yang, Jie

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Current status and influencing factors of blue carbon in seagrass beds: An extensive survey and comprehensive analysis in the Yellow and Bohai Seas, China. by Zhao, Xiang, Sun, Jie, Li, Fan, Li, Shao-Wen, Su, Hai-Xia, Ma, Xiu-Fen, Yang, Lei, Zheng, Gui-Xiang, Sun, Wan-Long, Zhang, Pei-Dong

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Spatial heterogeneity and trade-offs of agricultural functions in plateau basin: A case study of Dianchi Lake basin, China. by Yan, Wei, Duan, Xuejun, Wang, Lei, Chen, Weixiao, Kang, Jiayu

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18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy. by Wiltgen, Tun, Fleischmann, Daniel F., Kaiser, Lena, Holzgreve, Adrien, Corradini, Stefanie, Landry, Guillaume, Ingrisch, Michael, Popp, Ilinca, Grosu, Anca L., Unterrainer, Marcus, Bartenstein, Peter, Parodi, Katia, Belka, Claus, Albert, Nathalie, Niyazi, Maximilian, Riboldi, Marco

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Altered Gastric Microbiota and Inflammatory Cytokine Responses in Patients with Helicobacter pylori -Negative Gastric Cancer. by Kim, Han-Na, Kim, Min-Jeong, Jacobs, Jonathan P., Yang, Hyo-Joon

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Enhancing the classification of aphasia: a statistical analysis using connected speech. by Fromm, Davida, Greenhouse, Joel, Pudil, Mitchell, Shi, Yichun, MacWhinney, Brian

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Patients with Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation: A Machine-Learning Algorithm. by van de Kuit, Anouk, Oosterhoff, Jacobien H. F., Dijkstra, Hidde, Sprague, Sheila, Bzovsky, Sofia, Bhandari, Mohit, Swiontkowski, Marc, Schemitsch, Emil H., IJpma, Frank F. A., Poolman, Rudolf W., Doornberg, Job N., Hendrickx, Laurent A. M., Bulstra, Anne Eva J., Goslings, J. Carel, Hendrickx, Laurent A.M., Jaarsma, Ruurd L., Jeray, Kyle J., Kerkhoffs, Gino M.M.J., Oosterhoff, Jacobien H.F., Petrisor, Brad

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Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images. by Sun, Yuqi, Wang, Simin, Liu, Ziang, You, Chao, Li, Ruimin, Mao, Ning, Duan, Shaofeng, Lynn, Henry S., Gu, Yajia

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