Chadaga, K.;                     Prabhu, S.;                     Bhat, V.;                     Sampathila, N.;                     Umakanth, S.;                     Chadaga, R.    
        A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence. Bioengineering 2023, 10, 439.
    https://doi.org/10.3390/bioengineering10040439
    AMA Style
    
                                Chadaga K,                                 Prabhu S,                                 Bhat V,                                 Sampathila N,                                 Umakanth S,                                 Chadaga R.        
                A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence. Bioengineering. 2023; 10(4):439.
        https://doi.org/10.3390/bioengineering10040439
    
    Chicago/Turabian Style
    
                                Chadaga, Krishnaraj,                                 Srikanth Prabhu,                                 Vivekananda Bhat,                                 Niranjana Sampathila,                                 Shashikiran Umakanth,                                 and Rajagopala Chadaga.        
                2023. "A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence" Bioengineering 10, no. 4: 439.
        https://doi.org/10.3390/bioengineering10040439
    
    APA Style
    
                                Chadaga, K.,                                 Prabhu, S.,                                 Bhat, V.,                                 Sampathila, N.,                                 Umakanth, S.,                                 & Chadaga, R.        
        
        (2023). A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence. Bioengineering, 10(4), 439.
        https://doi.org/10.3390/bioengineering10040439