Resultados de búsqueda - Algorithm research*

Epidemiology of Fabry disease in patients in hemodialysis in the Madrid community. por Corchete Prats, Elena, González-Parra, Emilio, Vega, Almudena, Macías, Nicolás, Delgado, María, Fernández, Milagros, Jesús Sánchez, Rafael, Álvarez, Laura, Jesús Miranda, Ramón, Vian, Javier, López, Virginia, Mérida, Evangelina, Pereira, Mónica, Sapiencia, David, Andrés, Natalia, Muñoz, Patricia, Gil, Yohana, Sánchez, María, Cases, Clara, Gil, Beatriz

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The intelligibility of time-domain-edited esophageal speech. por Prosek, Robert A., Vreeland, Lori L.

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Multi-band spatial feature extraction and classification for motor imaging EEG signals based on OSFBCSP-GAO-SVM model: EEG signal processing. por Shang, Yong, Gao, Xing, An, Aimin

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Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis—Review of literature and in vitro case study. por Ampadi Ramachandran, Remya, Chi, Sheng-Wei, Srinivasa Pai, P., Foucher, Kharma, Ozevin, Didem, Mathew, Mathew T.

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A survey of machine learning-based methods for COVID-19 medical image analysis. por Sailunaz, Kashfia, Özyer, Tansel, Rokne, Jon, Alhajj, Reda

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Use of Deep Neural Networks in the Detection and Automated Classification of Lesions Using Clinical Images in Ophthalmology, Dermatology, and Oral Medicine—A Systematic Review. por Gomes, Rita Fabiane Teixeira, Schuch, Lauren Frenzel, Martins, Manoela Domingues, Honório, Emerson Ferreira, de Figueiredo, Rodrigo Marques, Schmith, Jean, Machado, Giovanna Nunes, Carrard, Vinicius Coelho

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Using Transfer Learning of Convolutional Neural Network on Neck Radiographs to Identify Acute Epiglottitis. por Lin, Yang-Tse, Shia, Ben-Chang, Chang, Chia-Jung, Wu, Yueh, Yang, Jheng-Dao, Kang, Jiunn-Horng

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Mapping the EQ-5D-5L from the Spanish national health survey functional disability scale through Bayesian networks. por Ayala, Alba, Ramallo-Fariña, Yolanda, Bilbao-Gonzalez, Amaia, Forjaz, Maria João

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Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation. por Weikert, T., Jaeger, P. F., Yang, S., Baumgartner, M., Breit, H. C., Winkel, D. J., Sommer, G., Stieltjes, B., Thaiss, W., Bremerich, J., Maier-Hein, K. H., Sauter, A. W.

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A Novel Approach for Best Parameters Selection and Feature Engineering to Analyze and Detect Diabetes: Machine Learning Insights. por Ali, Md Shahin, Islam, Md Khairul, Das, A. Arjan, Duranta, D. U. S., Haque, Mst. Farija, Rahman, Md Habibur

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Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques. por Biswas, Niloy, Ali, Md Mamun, Rahaman, Md Abdur, Islam, Minhajul, Mia, Md. Rajib, Azam, Sami, Ahmed, Kawsar, Bui, Francis M., Al-Zahrani, Fahad Ahmed, Moni, Mohammad Ali

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Capped L21-norm-based common spatial patterns for EEG signals classification applicable to BCI systems. por Gu, Jingyu, Jiang, Jiuchuan, Ge, Sheng, Wang, Haixian

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Evolving natural language processing towards a subjectivist inductive paradigm. por Gin, Brian C.

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Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be more. por Kober, Kord M., Roy, Ritu, Conley, Yvette, Dhruva, Anand, Hammer, Marilyn J, Levine, Jon, Olshen, Adam, Miaskowski, Christine

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Concordance in Child-Parent Reporting of Social Victimization Experiences in the Adolescent Brain Cognitive Development Study. por Tang, Judy T., Saadi, Altaf, Dunn, Erin C., Choi, Kristen

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An Effective Machine Learning-Based Model for an Early Heart Disease Prediction. por Bizimana, Pierre Claver, Zhang, Zuping, Asim, Muhammad, Abd El-Latif, Ahmed A.

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Analysis of Persian Bioinformatics Research with Topic Modeling. por Ebrahimi, Fezzeh, Dehghani, Mohammad, Makkizadeh, Fatemah

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A2/B1 Promotes NRF2 mRNA Stability and Inhibits Ferroptosis and Cell Proliferation in Breast Cancer Cells. por Huang, Yan, Chen, Jingjing, Pan, Juan, Yang, Yifu, Huang, Hongwu, Lai, Huiping, Yang, Lei, Ai, Hongyan

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BirCat Optimization for Automatic Segmentation of Brain Tumors and Pixel Change Detection Using Post-operative MRI Images. por K. V., Shiny, Sugitha, N.

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An Intelligent System to Enhance the Performance of Brain Tumor Diagnosis from MR Images. por Shiney, T. S. Sheela, Jerome, S. Albert

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