Resultados de búsqueda - Classification algorithms

Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. por Winterburn, Julie L., Voineskos, Aristotle N., Devenyi, Gabriel A., Plitman, Eric, de la Fuente-Sandoval, Camilo, Bhagwat, Nikhil, Graff-Guerrero, Ariel, Knight, Jo, Chakravarty, M. Mallar

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Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms. por Tesfaye, Brook, Atique, Suleman, Azim, Tariq, Kebede, Mihiretu M.

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Sleepiness, Exertion Fatigue, Arousal, and Vigilant Attention in Persons With Chronic Aphasia. por Riley, Ellyn A., Owora, Arthur, McCleary, Joshua, Anderson, Alyssa

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Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling. por Li, Yadi, Cui, Zaixu, Liao, Qi, Dong, Haibo, Zhang, Jianbing, Shen, Wenwen, Zhou, Wenhua

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A systematic review of validated suicide outcome classification in observational studies. por Swain, Richard S, Taylor, Lockwood G, Braver, Elisa R, Liu, Wei, Pinheiro, Simone P, Mosholder, Andrew D

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MINERAÇÃO DE DADOS PARA IDENTIFICAR FATORES ASSOCIADOS A QUALIDADE DE VIDA DE IDOSOS INSTITUCIONALIZADOS. por de Lima Moser, Auristela Duarte, Silva, Tauane Gomes, Carvalho, Deborah Ribeiro

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Classification of Intermediate and Novice Surgeons' Skill Assessment Through Performance Metrics. por Topalli, Damla, Cagiltay, Nergiz Ercil

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Comparison of Spectral and Sparse Feature Extraction Methods for Heart Sounds Classification. por Frajo Ibarra-Hernández, Roilhi, Ángel Alonso-Arévalo, Miguel, del Carmen García-Canseco, Eloísa

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Aprendizaje automático aplicado a la predicción de diabetes mellitus, utilizando información socioeconómica y ambiental de usuarios del sistema de salud. por Alexander Mejía, Jessner, Andrés Oviedo-Benalcázar, Mario, Armando Ordoñez, José, Fernando Valencia, José

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Acné y vitamina D. por Arteaga-Rodríguez, Daniela, Ramón Magaña-García, Mario

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Predicting Future Suicide: Clinician Opinion versus a Standardized Assessment Tool. por Randall, Jason R., Sareen, Jitender, Chateau, Dan, Bolton, James M.

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Mapping and predicting forest loss in a Sumatran tiger landscape from 2002 to 2050. por Poor, Erin E., Shao, Yang, Kelly, Marcella J.

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Proceedings of the 6th National Patient Reported Outcome Measures (PROMs) Annual UK Research Virtual Conference, Bridgend, Wales 2022: 14–15 June 2022, Virtual, Bridgend, Wales, UK...

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Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiers. por dos Santos, Eliana M., San-Martin, Rodrigo, Fraga, Francisco J.

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A hybrid super ensemble learning model for the early-stage prediction of diabetes risk. por Doğru, Ayşe, Buyrukoğlu, Selim, Arı, Murat

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Computational intelligence in eye disease diagnosis: a comparative study. por Kumar, S. V. Mahesh, Gunasundari, R.

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Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data. por Xu, Cai, Subbiah, Ishwaria M., Lu, Sheng-Chieh, Pfob, André, Sidey-Gibbons, Chris

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External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study. por Wei, Qiurong, Chen, Zeli, Tang, Yehuan, Chen, Weicui, Zhong, Liming, Mao, Liting, Hu, Shaowei, Wu, Yuankui, Deng, Kan, Yang, Wei, Liu, Xian

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Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification. por Jungmann, Friederike, Ziegelmayer, Sebastian, Lohoefer, Fabian K., Metz, Stephan, Müller-Leisse, Christina, Englmaier, Maximilian, Makowski, Marcus R., Kaissis, Georgios A., Braren, Rickmer F.

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Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers. por Cabral, Bernardo Pereira, Braga, Luiza Amara Maciel, Syed-Abdul, Shabbir, Mota, Fabio Batista

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