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Ashok Dwivedi, PhD

Title(s)Postdoctoral Scholar, Medicine
SchoolSchool of Medicine
Address
Phone415-735-5127
ORCID ORCID Icon0000-0002-2603-735X Additional info
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    Ashok Kumar Dwivedi Works on Computational Host Genomics, Single Cell Genomics, Artificial Intelligence, Machine Learning and Data Mining Approaches with Big Data, Data Science & NGS Techniques for providing solution to complex problems in Translational Medicine , Clinical Informatics, Bioinformatics and Bio Medical Sciences.

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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Performance evaluation of different machine learning techniques for prediction of heart disease. Neural Computing and Applications. 2020. View Publication.
    2. Soil, Hand, and Body Adherence Measures across Four Beach Areas: Potential Influence on Exposure to Oil Spill Chemicals. Int. J. Environ. Res. Public Health. 2020. View Publication.
    3. Analysis of computational intelligence techniques for diabetes mellitus prediction. Neural Computing and Applications. 2017. View Publication.
    4. Artificial neural network model for effective cancer classification using microarray gene expression data. Neural Computing and Applications. 2016; (29). View Publication.
    5. Genome-scale classification of recombinant and non-recombinant HIV-1 sequences using artificial neural network ensembles. Current Science. 2016. View Publication.
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