Resultados de búsqueda - Classification algorithms

Skin tear classification using machine learning from digital RGB image. por Nagata, Takuro, Noyori, Shuhei S., Noguchi, Hiroshi, Nakagami, Gojiro, Kitamura, Aya, Sanada, Hiromi

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Classification Tree–Based Machine Learning to Visualize and Validate a Decision Tool for Identifying Malnutrition in Cancer Patients. por Yin, Liangyu, Lin, Xin, Liu, Jie, Li, Na, He, Xiumei, Zhang, Mengyuan, Guo, Jing, Yang, Jian, Deng, Li, Wang, Yizhuo, Liang, Tingting, Wang, Chang, Jiang, Hua, Fu, Zhenming, Li, Suyi, Wang, Kunhua, Guo, Zengqing, Ba, Yi, Li, Wei, Song, Chunhua

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A machine learning classifier approach for identifying the determinants of under-five child undernutrition in Ethiopian administrative zones. por Fenta, Haile Mekonnen, Zewotir, Temesgen, Muluneh, Essey Kebede

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A Machine Learning Algorithm to Identify Patients at Risk of Unplanned Subsequent Surgery After Intramedullary Nailing for Tibial Shaft Fractures.

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Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou's General Pseudo Amino Acid Composition. por Ahmad, Khurshid, Waris, Muhammad, Hayat, Maqsood

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Impact of Shoulder Abduction Loading on Brain-Machine Interface in Predicting Hand Opening and Closing in Individuals With Chronic Stroke. por Yao, Jun, Sheaff, Clay, Carmona, Carolina, Dewald, Julius P. A.

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Evolving classification of intensive care patients from event data. por Last, Mark, Tosas, Olga, Cassarino, Tiziano Gallo, Kozlakidis, Zisis, Edgeworth, Jonathan, Gallo Cassarino, Tiziano

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Multiple Serum Cytokine Profiling to Identify Combinational Diagnostic Biomarkers in Attacks of Familial Mediterranean Fever. por Tomohiro Koga, Migita, Kiyoshi, Sato, Shuntaro, Umeda, Masataka, Nonaka, Fumiaki, Kawashiri, Shin-Ya, Iwamoto, Naoki, Ichinose, Kunihiro, Tamai, Mami, Nakamura, Hideki, Origuchi, Tomoki, Ueki, Yukitaka, Masumoto, Junya, Agematsu, Kazunaga, Yachie, Akihiro, Yoshiura, Koh-Ichiro, Eguchi, Katsumi, Kawakami, Atsushi, Koga, Tomohiro

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Differentiating Sitting and Lying Using a Thigh-Worn Accelerometer. por LYDEN, KATE, JOHN, DINESH, DALL, PHILIPPA, GRANAT, MALCOLM H.

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Development and Validation of an Algorithm to Identify Nonalcoholic Fatty Liver Disease in the Electronic Medical Record. por Corey, Kathleen, Kartoun, Uri, Zheng, Hui, Shaw, Stanley, Corey, Kathleen E, Shaw, Stanley Y

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Instrumented shoes for activity classification in the elderly. por Moufawad el Achkar, Christopher, Lenoble-Hoskovec, Constanze, Paraschiv-Ionescu, Anisoara, Major, Kristof, Büla, Christophe, Aminian, Kamiar

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Patient-Reported Outcome+ Platform for Remote Symptom Management, Featuring Automated Triage System. por Tang, X, Hacker, N, Danish, A, Chen, S

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A Generalized Entropy Measure of Within-Host Viral Diversity for Identifying Recent HIV-1 Infections. por Wei Wu, Julia, Patterson-Lomba, Oscar, Novitsky, Vladimir, Pagano, Marcello, Wei, Julia Wu, Wu, Julia Wei

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بررسی اختلال پاراکلينيک موثر در مرگ‌و‌مير بيماران ترومايی با استفاده از شيوه‌های داده کاوی por حسن‌زاده, مريم, فرهودی‌نژاد, اکبر, يوسف‌زاده, شاهرخ

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Abstracts for MASCC/AFSOS/ISOO Annual Meeting 2024.

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Three-stage transfer learning for motor imagery EEG recognition. por Li, Junhao, She, Qingshan, Meng, Ming, Du, Shengzhi, Zhang, Yingchun

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Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification. por Zhang, Fan, Wu, Hanliang, Guo, Yuxin

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Deep learning and predictive modelling for generating normalised muscle function parameters from signal images of mandibular electromyography. por Farook, Taseef Hasan, Haq, Tashreque Mohammed, Ramees, Lameesa, Dudley, James

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A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals. por He, Le, Zhang, Li, Lin, Xiangtian, Qin, Yunfeng

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Predicting T-Cell Lymphoma in Children From 18F-FDG PET-CT Imaging With Multiple Machine Learning Models. por Yang, Taiyu, Liu, Danyan, Zhang, Zexu, Sa, Ri, Guan, Feng

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