Resultados de búsqueda - Classification algorithms

Cigarette smoking and risk of severe infectious respiratory diseases in UK adults: 12-year follow-up of UK biobank. por McGeoch, Luke J, Ross, Stephanie, Massa, M Sofia, Lewington, Sarah, Clarke, Robert

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Prevention of skin tears: intrinsic and extrinsic factors. por Stephen-Haynes, Jackie

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Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence. por Jacobson, Maxwell J, Masry, Mohamed El, Arrubla, Daniela Chanci, Tricas, Maria Romeo, Gnyawali, Surya C, Zhang, Xinwei, Gordillo, Gayle, Xue, Yexiang, Sen, Chandan K, Wachs, Juan

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COL4A gene variants are common in children with hematuria and a family history of kidney disease. por Rheault, Michelle N., McLaughlin, Heather M., Mitchell, Asia, Blake, Lauren E., Devarajan, Prasad, Warady, Bradley A., Gibson, Keisha L., Lieberman, Kenneth V.

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Classification of benign and malignant parotid tumors based on CT images combined with stack generalization model. por HaLiMaiMaiTi, NaZiLa, Hong, Yue, Li, Min, Li, Hongtao, Wang, Yunling, Chen, Chen, Lv, Xiaoyi, Chen, Cheng

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Unlocking the Potential of Zebrafish Research with Artificial Intelligence: Advancements in Tracking, Processing, and Visualization. por Fan, Yi-Ling, Hsu, Fang-Rong, Wang, Yuhling, Liao, Lun-De

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Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images. por R, Kayalvizhi, H, Heartlin Maria, S, Malarvizhi, Venkatraman, Revathi, Patil, Shantanu

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Autism spectrum disorder diagnosis based on deep unrolling-based spatial constraint representation. por Lei, Dajiang, Zhang, Tao, Wu, Yue, Li, Weisheng, Li, Xinwei

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Physical activity according to sit-to-stand, standing, and stand-to-sit abilities in subacute stroke with walking difficulty: a cross-sectional study. por Shimizu, Natsuki, Hashidate, Hiroyuki, Ota, Tomohiro, Kawai, Yumi

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Percutaneous radiofrequency ablation is an effective treatment option for small renal masses, comparable to partial nephrectomy. por Pedraza-Sánchez, José Pablo, Chaves-Marcos, Reyes, Mazuecos-Quirós, Javier, Bisonó-Castillo, Álvaro Luis, Osmán-García, Ignacio, Gutiérrez-Marín, Carlos Miguel, Medina López, Rafael Antonio, Juárez Soto, Álvaro

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Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT. por Liu, Yun, He, ChangYin, Fang, Weidong, Peng, Li, Shi, Feng, Xia, Yuwei, Zhou, Qing, Zhang, Ronggui, Li, Chuanming

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Heart failure classifications via non‐invasive pressure volume loops from echocardiography. por Liu, Xiaoli, Chen, Xu, Xia, Shaoyan, Yang, Feifei, Zhu, Haogang, He, Kunlun

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Multiregional-based magnetic resonance imaging radiomics model for predicting tumor deposits in resectable rectal cancer. por Feng, Feiwen, Liu, Yuanqing, Bao, Jiayi, Hong, Rong, Hu, Su, Hu, Chunhong

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Graph Convolutional Neural Networks for Histologic Classification of Pancreatic Cancer. por Weiyi Wu, Xiaoying Liu, Hamilton, Robert B., Suriawinata, Arief A., Hassanpour, Saeed

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Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs. por Zech, John R., Jaramillo, Diego, Altosaar, Jaan, Popkin, Charles A., Wong, Tony T.

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Healing profiles in patients with a chronic diabetic foot ulcer: An exploratory study with machine learning. por Pereira, M. Graça, Vilaça, Margarida, Braga, Diogo, Madureira, Ana, Da Silva, Jéssica, Santos, Diana, Carvalho, Eugénia

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Application of machine learning and its effects on the development of a nursing guidance mobile app for sarcopenia. por Liao, Pei-Hung, Huang, Yu-Jie, Ho, Chen-Shie, Chu, William

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Human basal-like breast cancer is represented by one of the two mammary tumor subtypes in dogs. por Watson, Joshua, Wang, Tianfang, Ho, Kun-Lin, Feng, Yuan, Mahawan, Tanakamol, Dobbin, Kevin K., Zhao, Shaying

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16th European Public Health Conference 2023 Our Food, Our Health, Our Earth: A Sustainable Future for Humanity Dublin, Ireland 8-11 November 2023. por Staines, Anthony, Biesma-Blanco, Regien, Verschuuren, Marieke

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Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer. por Kawaji, Kodai, Nakajo, Masatoyo, Shinden, Yoshiaki, Jinguji, Megumi, Tani, Atsushi, Hirahara, Daisuke, Kitazono, Ikumi, Ohtsuka, Takao, Yoshiura, Takashi

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