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Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review

by Albahri, A. S., Hamid, Rula A., Alwan, Jwan k., Al-qays, Z.T., Zaidan, A. A., Zaidan, B. B., Albahri, A O. S., AlAmoodi, A. H., Khlaf, Jamal Mawlood, Almahdi, E. M., Thabet, Eman, Hadi, Suha M., Mohammed, K I., Alsalem, M. A., Al-Obaidi, Jameel R., Madhloom, H.T.
Published in Journal of medical systems (01.07.2020)

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Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

by An, Kangqi
Published in Computational intelligence and neuroscience (13.04.2022)

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Advances in Swarm Intelligence: 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part II

by Tan, Ying, Takagi, Hideyuki, Shi, Yuhui, Niu, Ben
Year of Publication 2017

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eBook Conference Proceeding

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A LITERATURE SURVEY ON COMPUTING METHODS IN PSYCHIATRIC DISORDER

by Jain, Shivangi
Published in International journal of advanced research in computer science (01.09.2017)

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Network Fault Diagnosis of Embedded System Based on Topology Constraint and Data Mining

by Zhang, Tao
Published in Computational intelligence and neuroscience (2022)

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A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

by Carrington, André M., Fieguth, Paul W., Qazi, Hammad, Holzinger, Andreas, Chen, Helen H., Mayr, Franz, Manuel, Douglas G.
Published in BMC medical informatics and decision making (06.01.2020)

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Extreme Learning Machine-Based Classification of ADHD Using Brain Structural MRI Data

by Peng, Xiaolong, Lin, Pan, Zhang, Tongsheng, Wang, Jue
Published in PloS one (19.11.2013)

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Skin lesion segmentation using deep learning algorithm with ant colony optimization

by Sarwar, Nadeem, Irshad, Asma, Naith, Qamar H., D.Alsufiani, Kholod, Almalki, Faris A.
Published in BMC medical informatics and decision making (27.09.2024)

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Prediction of postoperative haemorrhage after cerebral tumour surgery using machine learning algorithms

by Göktürk, Yasin, Başarslan, Seyit Kağan, Göktürk, Şule, Kocaman, Hikmet, Yıldırım, Hasan
Published in BMC medical informatics and decision making (23.10.2025)

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A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

by Qiu, Juan, Du, Qingfeng, Yin, Kanglin, Zhang, Shuang-Li, Qian, Chongshu
Published in Applied sciences (01.03.2020)

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Early detection of ICU-acquired infections using high-frequency electronic health record data

by Varkila, Meri R. J., Lancia, Giacomo, van Smeden, Maarten, Bonten, Marc J. M., Spitoni, Cristian, Cremer, Olaf L.
Published in BMC medical informatics and decision making (21.07.2025)

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Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings

by Yap, Xiao-Han Vivian, Tu, Kuan-Chi, Chen, Nai-Ching, Wang, Che-Chuan, Chen, Chia-Jung, Liu, Chung-Feng, Eric Nya, Tee-Tau, Kuo, Ching-Lung
Published in BMC medical informatics and decision making (28.03.2025)

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Predicting hospital-acquired pneumonia among schizophrenic patients: a machine learning approach

by Kuo, Kuang Ming, Talley, Paul C., Huang, Chi Hsien, Cheng, Liang Chih
Published in BMC medical informatics and decision making (13.03.2019)

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Factors associated with the local control of brain metastases: a systematic search and machine learning application

by Kanakarajan, Hemalatha, De Baene, Wouter, Gehring, Karin, Eekers, Daniëlle B. P., Hanssens, Patrick, Sitskoorn, Margriet
Published in BMC medical informatics and decision making (21.06.2024)

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Mastitis diagnosis with machine learning algorithms

by Kalkan, Adnan, Tepeli, Mehmet, Göde, Aslı
Published in Neural computing & applications (01.06.2025)

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RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records

by Cai, Jie, Chen, Shenglin, Guo, Siyun, Wang, Suidong, Li, Lintong, Liu, Xiaotong, Zheng, Keming, Liu, Yudong, Chen, Shiling
Published in BMC medical informatics and decision making (18.07.2023)

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Decision Support Systems and Applications in Ophthalmology: Literature and Commercial Review Focused on Mobile Apps

by de la Torre-Díez, Isabel, Martínez-Pérez, Borja, López-Coronado, Miguel, Díaz, Javier Rodríguez, López, Miguel Maldonado
Published in Journal of medical systems (01.01.2015)

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Clinlabomics: leveraging clinical laboratory data by data mining strategies

by Wen, Xiaoxia, Leng, Ping, Wang, Jiasi, Yang, Guishu, Zu, Ruiling, Jia, Xiaojiong, Zhang, Kaijiong, Mengesha, Birga Anteneh, Huang, Jian, Wang, Dongsheng, Luo, Huaichao
Published in BMC Bioinformatics (24.09.2022)

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Classifying Software Changes: Clean or Buggy?

by Kim, Sunghun, Whitehead, E. James, Zhang, Yi
Published in IEEE transactions on software engineering (01.03.2008)

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Application of Reinforcement Learning Algorithm Model in Gas Path Fault Intelligent Diagnosis of Gas Turbine

by Luo, Yulong
Published in Computational intelligence and neuroscience (2021)

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