Resultados de búsqueda - Regularization parameter

Evaluating fusion models for predicting occult lymph node metastasis in tongue squamous cell carcinoma. por Li, Wen, Li, Yang, Wang, Li, Yang, Minghuan, Iikubo, Masahiro, Huang, Nengwen, Kojima, Ikuho, Ye, Yingding, Zhao, Rui, Dong, Bowen, Chen, Jiang, Liu, Yiming

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Exploring the relative importance of the factors associated with menopausal symptoms using a random forest model: a cross-sectional study. por Meejung Chin, Sowon Hahn, Yeon Soo Kim, Young Hye Kwon, Yeon-Hwan Park, Younghwan Choi, Gahye Kim, Youjin Kim, Inju Lee, Hyun Jeong Yoon, Hanjin Bae

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Predicting periprocedural complications risk in intracranial angioplasty and stenting from integrated high-resolution vessel wall imaging radiomics and clinical characteristics. por Guo, Yu, Yuan, Chengxiu, Su, Yuwen, Wang, Zhe, Li, Songchuan, Wang, Bao, Hu, Chunhong

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Can patient-reported data improve predictions about who will be a high-need, high-cost patient in British Columbia? por Trenaman, Logan, Guh, Daphne, Bryan, Stirling, McGrail, Kimberlyn, Karim, Mohammad Ehsanul, Sawatzky, Rick, Yu, Maggie, Parker, Marilyn, Wheeler, Kathleen, Harrison, Mark

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Development of empirical anti-inflammatory diet index: a cross-sectional study. por Kaluza, Joanna, Hellerström, Lisa, Kaluza, Daniel, Chabok, Abbas, Åkesson, Agneta, Michaëlsson, Karl, Wolk, Alicja

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Nurse Staffing Management in the Context of Emergency Departments and Seasonal Respiratory Diseases: An Artificial Intelligence and Discrete-Event Simulation Approach. por Ortiz-Barrios, Miguel, Cuenca, Llanos, Arias-Fonseca, Sebastián, McClean, Sally, Pérez-Aguilar, Armando

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Leveraging machine learning with dynamic 18F-FDG PET/CT: integrating metabolic and flow features for lung cancer differential diagnosis. por Yao, Zhiheng, Wang, Yubo, Wu, Yaping, Zhou, Jinpeng, Dang, Na, Wang, Meiyun, Liang, Ying, Sun, Tao

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A direct learning approach for detection of hotspots in microwave hyperthermia treatments. por Onal, Hulusi, Girgin, Enes, Doğu, Semih, Yilmaz, Tuba, Akinci, Mehmet Nuri

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Paradigms and methods of noninvasive brain-computer interfaces in motor or communication assistance and rehabilitation: a systematic review. por Meng, Jianjun, Wei, Yuxuan, Mai, Ximing, Li, Songwei, Wang, Xu, Luo, Ruijie, Ji, Minghao, Zhu, Xiangyang

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Radiation Pneumonitis Prediction Using Dual-Modal Data Fusion Based on Med3D Transfer Network. por Tang, Jingli, Wang, Hao, Wu, Dinghui, Kong, Yan, Huang, Jianfeng, Han, Shuguang

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A Novel Self-Supervised Learning-Based Method for Dynamic CT Brain Perfusion Imaging. por Liu, Chi-Kuang, Huang, Hsuan-Ming

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Impact of Harmonization on MRI Radiomics Feature Variability Across Preprocessing Methods for Parkinson's Disease Motor Subtype Classification. por Panahi, Mehdi, Hosseini, Mahboube Sadat

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Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP Explanations: A Multicenter Cohort Study. por Liu, Huan, Zeng, Jincheng, Jinyun, Chen, Liu, Xiaohua, Deng, Yongbin, Li, Chenghai, Li, Faqi

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24-hour movement components, cardiorespiratory fitness and cardiometabolic risk in children: a network perspective. por Reis, Luiza Naujorks, Reuter, Cezane Priscila, Bergmann, Gabriel Gustavo, Mota, Jorge, Gaya, Adroaldo Cezar Araujo, Bandeira, Paulo Felipe, de Borba Schneiders, Letícia, Felin Fochesatto, Camila, Brand, Caroline, Gaya, Anelise Reis

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Development and validation of a combined radiomic and clinical model based on contrast-enhanced ultrasound for preoperative prediction of CK19-positive hepatocellular carcinoma. por Liang, Li, Pang, Jin-shu, Gao, Rui-zhi, Que, Qiao, Wu, Yu-quan, Peng, Jin-bo, Bai, Xiu-mei, Qin, Qiong, Tang, Quan-quan, Li, Li-peng, He, Yun, Yang, Hong

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CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma. por Chen, Jiahao, Ma, Zhuangxuan, Xu, Yamin, Ge, Jieqiong, Yao, Hongfei, Li, Chunjing, Hu, Xiao, Pu, Yunlong, Li, Ming, Jiang, Chongyi

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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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