Resultados de búsqueda - Classification algorithms

Impact of 2025 ASE Update Recommendations for the Evaluation of Left Ventricular Diastolic Function in Patients With End‐Stage Renal Disease. por Miao, Yunxiang, Chen, Wenwen, Liao, Yuping, Yao, Yao, Zhang, Yuzhen

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Automated sleep stage and event detection algorithms using quality-controlled polysomnography annotations. por Kaneda, Michiru, Ogaki, Sho, Nohara, Tomoyuki, Fujita, Syuhei, Osako, Naoshi, Yagi, Tomoko, Tomita, Yasuhiro, Ogata, Takanori

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Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management. por Garber, Sara, Okhrin, Yarema

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Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization. por Depeursinge A, Iavindrasana J, Hidki A, Cohen G, Geissbuhler A, Platon A, Poletti P, Müller H

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Classification algorithm for the International Classification of Diseases-11 chronic pain classification: development and results from a preliminary pilot evaluation. por Korwisi, Beatrice, Haya, Ginea, Attal, Nadine, Aziz, Qasim, Bennett, Michael I., Benoliel, Rafael, Cohen, Milton, Evers, Stefan, Giamberardino, Maria Adele, Kaasa, Stein, Kose, Eva, Lavand'homme, Patricia, Nicholas, Michael, Perrot, Serge, Schug, Stephan, Smit, Blair H., Svensson, Peter, Vlaeyen, Johan W. S., Shuu-Jiun Wang, Treede, Rolf-Detlef

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Cervical cell classification with deep-learning algorithms. por Xu, Laixiang, Cai, Fuhong, Fu, Yanhu, Liu, Qian

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Histological Subtype Classification of Non-Small Cell Lung Cancer with Radiomics and 3D Convolutional Neural Networks. por Liang, Baoyu, Tong, Chao, Nong, Jingying, Zhang, Yi

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A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification. por Wang, Yu, Ni, Haoxiang, Zhou, Jielu, Liu, Lihe, Lin, Jiaxi, Yin, Minyue, Gao, Jingwen, Zhu, Shiqi, Yin, Qi, Zhu, Jinzhou, Li, Rui

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A Simple Ultrasound Based Classification Algorithm Allows Differentiation of Benign from Malignant Breast Lesions by Using Only Quantitative Parameters. por Kapetas, Panagiotis, Woitek, Ramona, Clauser, Paola, Bernathova, Maria, Pinker, Katja, Helbich, Thomas H., Baltzer, Pascal A.

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Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms. por Chong, Joana, Tjurin, Petra, Niemelä, Maisa, Jämsä, Timo, Farrahi, Vahid

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Comparative analysis of classification algorithms on the breast cancer recurrence using machine learning. por Mikhailova, Valentina, Anbarjafari, Gholamreza

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Cell-of-origin classification using the Hans and Lymph2Cx algorithms in primary cutaneous large B-cell lymphomas. por Schrader, Anne M. R., de Groen, Ruben A. L., Willemze, Rein, Jansen, Patty M., Quint, Koen D., van Wezel, Tom, van Eijk, Ronald, Ruano, Dina, Tensen, Cornelis P., Hauben, Esther, Woei-A-Jin, F. J. S. H., Busschots, Anne M., van den Berg, Anke, Diepstra, Arjan, Vermeer, Maarten H., Vermaat, Joost S. P.

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Deep learning for FDG-PET classification in patients with Alzheimer's disease, dementia with Lewy bodies and their mixed pathology: a solution for diagnostic heterogeneity. por Kim, Seonggyu, Jeon, Seun, Cho, Kwonhwi, Kang, Sungwoo, Bang, Sungkyu, Ye, Byoung Seok, Lee, Jong-Min

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Serum Cytokine Profiling Differentiates Underlying Diseases in Cytokine Storm Syndrome. por Kaneko, Shuya, Hatano, Maho, Shimbo, Asami, Miyaoka, Futaba, Irabu, Hitoshi, Akutsu, Yuko, Hayashi, Yuko, Mizuta, Mao, Nakagishi, Yasuo, Akamine, Keiji, Iwata, Naomi, Furuno, Kenji, Tanaka, Takayuki, Ueno, Kazuyuki, Fujita, Shuhei, Yokoyama, Koji, Minato, Toshinori, Izawa, Kazushi, Yasumi, Takahiro, Matsubayashi, Tadashi

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Machine Learning Classification of Palatal Salivary Gland Tumors Using Clinical and Demographic Descriptors. por de Melo Tassinari, Luís Arthur, Araújo, Anna Luíza Damaceno, de Sousa‐Neto, Sebastião Silvério, Fonseca, Felipe Paiva, Mariz, Bruno Augusto Linhares Almeida, Martins, Manoela Domingues, de Andrade, Bruno Augusto Benevenuto, Agostini, Michelle, Pontes, Hélder Antônio Rebelo, Ribeiro, Ana Carolina Prado, Brandão, Thaís Bianca, Rocha, Andre Caroli, Lopes, Marcio Ajudarte, Vargas, Pablo Agustin, Kowalski, Luiz Paulo, Santos‐Silva, Alan Roger, Moraes, Matheus Cardoso

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A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA). por Hughes, Charmayne Mary Lee, Zhang, Yan, Pourhossein, Ali, Jurasova, Terezia

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External validation of a machine learning-based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone... por Fernstad, Jonatan, Svennberg, Emma, Åberg, Peter, Gudmundsdottir, Katrin Kemp, Jansson, Anders, Engdahl, Johan

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Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort. por Morin, Alexandre, Samper-Gonzalez, Jorge, Bertrand, Anne, Ströer, Sébastian, Dormont, Didier, Mendes, Aline, Coupé, Pierrick, Ahdidan, Jamila, Lévy, Marcel, Samri, Dalila, Hampel, Harald, Dubois, Bruno, Teichmann, Marc, Epelbaum, Stéphane, Colliot, Olivier

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Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients. por Ebdrup, Bjørn H., Axelsen, Martin C., Bak, Nikolaj, Fagerlund, Birgitte, Oranje, Bob, Raghava, Jayachandra M., Nielsen, Mette Ø., Rostrup, Egill, Hansen, Lars K., Glenthøj, Birte Y.

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Diagnostic Method of Liver Cirrhosis Based on MR Image Texture Feature Extraction and Classification Algorithm. por chunmei, Xiong, mei, Han, yan, Zhao, haiying, Wang

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