Search Results - computer software diagnosis｜((based algorithms) OR (((descent algorithm) OR (mining algorithms))))~ :: K.UTB vyhledávací portál

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Medical image analysis of phosphorylated protein interaction extraction algorithm based on text mining technology

by Ma, Xiaolei, Lu, Yang, Lu, Yinan, Pei Zhili
Published in Multimedia tools and applications (01.04.2020)

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Analysis of Factors Influencing the Development of mHealth Innovation Based on Data Mining Algorithms

by Ma, Rui, Liu, Bin
Published in Mathematical problems in engineering (30.08.2022)

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Research on feature mining algorithm and disease diagnosis of pulse signal based on piezoelectric sensor

by Lin, Fan, Zhang, Jincheng, Wang, Zhongmin, Zhang, Xiaokang, Yao, Ruiling, Li, Yan
Published in Informatics in medicine unlocked (2021)

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Cervical Cancer Detection Using Ensemble Neural Network Algorithm with Stochastic Gradient Descent (SGD) Optimizer

by Shanthi, K., Manimekalai, S.
Published in SN computer science (06.12.2024)

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Gravitational search algorithm–optimized neural misuse detector with selected features by fuzzy grids–based association rules mining

by Sheikhan, Mansour, Sharifi Rad, Maryam
Published in Neural computing & applications (01.12.2013)

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Fault Diagnosis Algorithm for Pumping Unit Based on Dual-Branch Time-Frequency Fusion

by Zhang, Fangfang, Li, Yebin, Shan, Dongri, Liu, Yuanhong, Ma, Fengying, Yu, Weiyong
Published in IEEE transactions on reliability (01.03.2025)

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Knowledge discovery in medicine: Current issue and future trend

by Esfandiari, Nura, Babavalian, Mohammad Reza, Moghadam, Amir-Masoud Eftekhari, Tabar, Vahid Kashani
Published in Expert systems with applications (01.07.2014)

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Accuracy Comparison of Data Mining Algorithms Used in the Diagnosis of Breast Cancer: A Scoping Review Study

by Khara, Rouhallah, Piri, Zakieh, Dehghan, Mohamad, Arab-Zozani, Morteza
Published in Applied medical informatics (01.12.2019)

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Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms

by Zheng, Bichen, Yoon, Sang Won, Lam, Sarah S.
Published in Expert systems with applications (01.03.2014)

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Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images

by Singh, Law Kumar, Khanna, Munish, Monga, Himanshu, singh, Rekha, Pandey, Gaurav
Published in New generation computing (01.11.2024)

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Predicting coronary artery disease: a comparison between two data mining algorithms

by Ayatollahi, Haleh, Gholamhosseini, Leila, Salehi, Masoud
Published in BMC public health (29.04.2019)

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Sparse non-negative tensor factorization using columnwise coordinate descent

by Liu, Ji, Liu, Jun, Wonka, Peter, Ye, Jieping
Published in Pattern recognition (2012)

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Application of decision tree-based ensemble learning in the classification of breast cancer

by Ghiasi, Mohammad M., Zendehboudi, Sohrab
Published in Computers in biology and medicine (01.01.2021)

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Sequential Feature Selection and Machine Learning Algorithm-Based Patient’s Death Events Prediction and Diagnosis in Heart Disease

by Aggrawal, Ritu, Pal, Saurabh
Published in SN computer science (01.11.2020)

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Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms

by Acharya, Vasundhara, Kumar, Preetham
Published in Medical & biological engineering & computing (01.08.2019)

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Research on Detection and Diagnosis Technology of Subarachnoid Hemorrhage Based on New Association Classification Algorithm

by Chen, Long, Zhou, Changlong
Published in Scientific programming (24.03.2022)

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Automatic classification of epilepsy types using ontology-based and genetics-based machine learning

by Kassahun, Yohannes, Perrone, Roberta, De Momi, Elena, Berghöfer, Elmar, Tassi, Laura, Canevini, Maria Paola, Spreafico, Roberto, Ferrigno, Giancarlo, Kirchner, Frank
Published in Artificial intelligence in medicine (01.06.2014)

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A text-mining approach to obtain detailed treatment information from free-text fields in population-based cancer registries: A study of non-small cell lung cancer in California

by Maguire, Frances B., Morris, Cyllene R., Parikh-Patel, Arti, Cress, Rosemary D., Keegan, Theresa H. M., Li, Chin-Shang, Lin, Patrick S., Kizer, Kenneth W.
Published in PloS one (22.02.2019)

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