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    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  2. 2

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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    Article
  3. 3

    Characterization of miR-3099-mediated posttranscriptional of target genes regulation during neurogenesis in mice by Zainal Abidin, Shahidee

    Published 2019
    “…In 2011, miR-3099 was found to be expressed as early as in the blastocyst stage, in which the expression was maintained until the developing E11.5 mouse brain. The expression of miR-3099 was further restricted to the cortical plate of the developing mouse brain between E13.5 and E17.5, coinciding with the time that the majority of the cells are committed to neuronal cell lineage. …”
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    Thesis