Resultados de búsqueda - Regularization parameter

Predicting progression-free survival in sarcoma using MRI-based automatic segmentation models and radiomics nomograms: a preliminary multicenter study. por Zhu, Nana, Niu, Feige, Fan, Shuxuan, Meng, Xianghong, Hu, Yongcheng, Han, Jun, Wang, Zhi

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Machine learning models integrating dietary data predict all-cause mortality in U.S. NAFLD patients: an NHANES-based study. por Chen, Pinchu, Li, Yao, Yang, Chenfenglin, Zhang, Qifan

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Exploring supportive care needs of lung cancer patients in China and predicting with machine learning models. por Chen, Zimeng, Qiu, Sifan, Luo, Chunmei, Zeng, Jixiang, Huang, Bifang, Zheng, Juanxia

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Physical activity and the outcome of cognitive trajectory: a machine learning approach. por Barisch-Fritz, Bettina, Shah, Jay, Krafft, Jelena, Geda, Yonas E., Wu, Teresa, Woll, Alexander, Krell-Roesch, Janina

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Specialization trends in economics research: A large‐scale study using natural language processing and citation analysis. por Galiani, Sebastian, Gálvez, Ramiro H., Nachman, Ian

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

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Mismatching-aware unsupervised translation quality estimation for low-resource languages. por Azadi, Fatemeh, Faili, Heshaam, Dousti, Mohammad Javad

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Understanding Work Ability in Employees with Pain and Stress-Related Ill-Health: An Explorative Network Analysis of Individual Characteristics and Psychosocial Work Environment. por Zetterberg, Hedvig, Zhao, Xiang, Bergbom, Sofia, Golovchanova, Nadezhda, Flink, Ida, Boersma, Katja

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Unrolled deep learning for breast cancer detection using limited-view photoacoustic tomography data. por John, Mary, Barhumi, Imad

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Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning. por Pries, Philip J., Mutch, W. Alan C., Funk, Duane J.

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Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life's essential 8: a cross-sectional study. por Shi, Haolin, Fang, Yangyi, Ma, Xiuhua

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Metabolic profiles and prediction of failure to thrive of citrin deficiency with normal liver function based on metabolomics and machine learning. por Wang, Peiyao, Zhou, Duo, Hu, Lingwei, Ge, Pingping, Cen, Ziyan, Hu, Zhenzhen, He, Qimin, Zhou, Kejun, Wu, Benqing, Huang, Xinwen

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Systematic review of computational techniques, dataset utilization, and feature extraction in electrocardiographic imaging. por Mayorca-Torres, Dagoberto, León-Salas, Alejandro J., Peluffo-Ordoñez, Diego H.

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Prediction of hepatocellular carcinoma response to radiation segmentectomy using an MRI-based machine learning approach. por Stocker, Daniel, Hectors, Stefanie, Marinelli, Brett, Carbonell, Guillermo, Bane, Octavia, Hulkower, Miriam, Kennedy, Paul, Ma, Weiping, Lewis, Sara, Kim, Edward, Wang, Pei, Taouli, Bachir

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Mesothelin expression prediction in pancreatic cancer based on multimodal stochastic configuration networks. por Li, Junjie, Li, Xuanle, Chen, Yingge, Wang, Yunling, Wang, Binjie, Zhang, Xuefeng, Zhang, Na

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A Machine Learning Tool with An Integrated Dataset Towards the Construction of An Early Warning System for Dengue in Zulia State, Venezuela. por Maritza, Cabrera, José, Naranjo-Torres, Ángel, Cabrera, Lysien, Zambrano, Alfonso J., Rodriguez-Morales

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Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer. por Fortunato, Angelo, Mallo, Diego, Cisneros, Luis, King, Lorraine M., Khan, Aziz, Curtis, Christina, Ryser, Marc D., Lo, Joseph Y., Hall, Allison, Marks, Jeffrey R., Hwang, E. Shelley, Maley, Carlo C.

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Preoperative identification of small metastatic lymph nodes in esophageal squamous cell carcinoma using CT radiomics of lymph nodes. por Wu, Yu-ping, Wu, Lan, Ou, Jing, Tang, Sun, Cao, Jin-ming, Fu, Mao-Yong, Chen, Tian-wu

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Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases. por Hernández-Arango, Alejandro, Arias, María Isabel, Pérez, Viviana, Chavarría, Luis Daniel, Jaimes, Fabian

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AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery. por Hosseini, Mahboube Sadat, Aghamiri, Seyed Mahmoud Reza, Fatemi Ardekani, Ali, BagheriMofidi, Seyed Mehdi, Safari, Mojtaba

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