Resultados de búsqueda - Classification algorithms

Evaluating sleep-stage classification: how age and early-late sleep affects classification performance. por Moris, Eugenia, Larrabide, Ignacio

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Intra-subject enveloped multilayer fuzzy sample compression for speech diagnosis of Parkinson's disease. por Wang, Yiwen, Li, Fan, Zhang, Xiaoheng, Wang, Pin, Li, Yongming, Zhang, Yanling

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Dynamic modeling of photoacoustic sensor data to classify human blood samples. por Pérez-Pacheco, Argelia, Ramírez-Chavarría, Roberto G., Quispe-Siccha, Rosa M., Colín-García, Marco P.

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Deep Learning Detection of Aneurysm Clips for Magnetic Resonance Imaging Safety. por Courtman, Megan, Kim, Daniel, Wit, Huub, Wang, Hongrui, Sun, Lingfen, Ifeachor, Emmanuel, Mullin, Stephen, Thurston, Mark

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Application of Machine Learning to Ultrasonography in Identifying Anatomical Landmarks for Cricothyroidotomy Among Female Adults: A Multi-center Prospective Observational Study. por Wang, Chih-Hung, Li, Jia-Da, Wu, Cheng-Yi, Wu, Yu-Chen, Tay, Joyce, Wu, Meng-Che, Hsu, Ching-Hang, Liu, Yi-Kuan, Chen, Chu-Song, Huang, Chien-Hua

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Deep Learning–Assisted Identification of Femoroacetabular Impingement (FAI) on Routine Pelvic Radiographs. por Hoy, Michael K., Desai, Vishal, Mutasa, Simukayi, Hoy, Robert C., Gorniak, Richard, Belair, Jeffrey A.

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CT-Based Radiomics and Machine Learning for Differentiating Benign, Borderline, and Early-Stage Malignant Ovarian Tumors. por Chen, Jia, Liu, Lei, He, Ziying, Su, Danke, Liu, Chanzhen

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Does a multimodal prehabilitation program improve sleep quality and duration in patients undergoing colorectal resection for cancer? Pilot randomized control trial. por Atoui, Sarah, Carli, Francesco, Bernard, Paquito, Lee, Lawrence, Stein, Barry, Charlebois, Patrick, Liberman, A. Sender

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Rethinking extent of resection of contrast-enhancing and non-enhancing tumor: different survival impacts on adult-type diffuse gliomas in 2021 World Health Organization classificat... por Park, Yae Won, Kim, Sooyon, Han, Kyunghwa, Ahn, Sung Soo, Moon, Ju Hyung, Kim, Eui Hyun, Kim, Jinna, Kang, Seok-Gu, Kim, Se Hoon, Lee, Seung-Koo, Chang, Jong Hee

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Radiomics and dosiomics for predicting complete response to definitive chemoradiotherapy patients with oesophageal squamous cell cancer using the hybrid institution model. por Kawahara, Daisuke, Murakami, Yuji, Awane, Shota, Emoto, Yuki, Iwashita, Kazuma, Kubota, Hikaru, Sasaki, Ryohei, Nagata, Yasushi

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Molecular features for timely cancer diagnosis and treatment – tumors of the ovary, fallopian tube and endometrium. por Gatius, Sonia, Matias Guiu, Xavier, Davidson, Ben

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The practical utility of AI-assisted molecular profiling in the diagnosis and management of cancer of unknown primary: an updated review. por Lorkowski, Shuhui Wang, Dermawan, Josephine K., Rubin, Brian P.

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Diagnostic and prognostic molecular pathology of lymphoid malignancies. por Fend, Falko, van den Brand, Michiel, Groenen, Patricia JTA, Quintanilla-Martinez, Leticia, Bagg, Adam

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Emergency radiation therapy in modern-day practice: Now or never, or never again ? por Yaouanq, Margaux, Gibson, Nyere, Boudoussier, Augustin, Edouard, Lucas, Pouvreau, Pierre, Taleb, Imed, Bouleftour, Wafa, Sargos, Paul, Magné, Nicolas, Benziane-Ouaritini, Nicolas

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Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016. por Mamo, Daniel Niguse, Gebremariam, Yosef Haile, Adem, Jibril Beshir, Kebede, Shimels Derso, Walle, Agmasie Damtew

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Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning. por Nogay, Hidir Selcuk, Adeli, Hojjat

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Optimizing Gene Selection and Cancer Classification with Hybrid Sine Cosine and Cuckoo Search Algorithm. por Yaqoob, Abrar, Verma, Navneet Kumar, Aziz, Rabia Musheer

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Male with an apparently normal phenotype carrying a BRCA1 exon 20 duplication in trans to a BRCA1 frameshift variant. por Block, Ines, Mateu-Regué, Àngels, Do, Thi Tuyet Nhu, Miceikaite, Ieva, Sdogati, Daniel, Larsen, Martin J., Hao, Qin, Nielsen, Henriette Roed, Boonen, Susanne E., Skytte, Anne-Bine, Jensen, Uffe Birk, Høffding, Louise K., De Nicolo, Arcangela, Viel, Alessandra, Tudini, Emma, Parsons, Michael T., Hansen, Thomas V. O., Rossing, Maria, Kruse, Torben A., Spurdle, Amanda B.

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Systematic Review of Machine Learning Applied to the Secondary Prevention of Ischemic Stroke. por Chen, Meng, Qian, Dongbao, Wang, Yixuan, An, Junyan, Meng, Ke, Xu, Shuai, Liu, Sheng, Sun, Meiyan, Li, Miao, Pang, Chunying

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Chagas parasite classification in blood sample images using different machine learning architectures. por Rada, Lavdie, Kumar, Preet, Martin-Gonzalez, Anabel, Brito-Loeza, Carlos

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