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Machine Learning in Early Genetic Detection of Multiple Sclerosis Disease: A Survey

, , , and . International Journal of Computer Science & Information Technology (IJCSIT), 12 (5): 01 - 18 (October 2020)
DOI: 10.5121/ijcsit.2020.12501

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OPTI-SELECT: an interactive tool for user-in-the-loop feature selection in software product lines., , and . SPLC Workshops, page 126-129. ACM, (2014)Caching Techniques for Flight Delays Prediction in Big Data Using SparkR., , and . ICCTA, page 48-53. IEEE, (2018)Multiple Sclerosis Biomarkers Detection by a BiLSTM Deep Learning Model for miRNA Data Analysis., , , and . ACIT, page 1-6. IEEE, (2022)Machine Learning in Early Genetic Detection of Multiple Sclerosis Disease: A Survey, , , and . International Journal of Computer Science & Information Technology (IJCSIT), 12 (5): 01 - 18 (October 2020)Decision support system to measure the suitability and compatibility of CubeSats components with launch vehicles frequencies (LSCDSS)., , and . ICSIE, page 114-119. ACM, (2019)Streaming medical images using video compression., and . ISCC, page 125-128. IEEE Computer Society, (2016)A Novel Approach of Transcriptomic microRNA Analysis Using Text Mining Methods: An Early Detection of Multiple Sclerosis Disease., , , and . IEEE Access, (2021)Phases vs. Levels using Decision Trees for Intrusion Detection Systems, , and . CoRR, (2012)Analytical Model for Service Response Time in Distributed Systems., and . ICCTA, page 62-67. IEEE, (2014)A current-output DAC for low-power low-noise log-domain ΔΣ modulators., , and . NEWCAS, page 281-284. IEEE, (2014)