Yusmi Mohd Yunus 1 , Muhammad Hisyam Zakaria 2 , Mohd Fazril Izhar Mohd Idris 3 , Na Izni 4 , Mohd Norazmi Nordin 5 1843 Turkish Online Journal of Qualitative Inquiry (TOJQI) Volume 12, Issue4, July , 1843- 1851 Research Article Machine Learning And Coronavirus Disease Prediction Yusmi Mohd Yunus 1 , Muhammad Hisyam Zakaria 2 , Mohd Fazril Izhar Mohd Idris 3 , Na Izni 4 , Mohd Norazmi Nordin 5 1 faculty Of Health Sciences, Universiti Selangor, Malaysia 2 universiti Teknologi Mara, Shah Alam, Selangor, Malaysia 3 universiti Teknologi Mara, Perlis, Arau Campus, Malaysia 4 department Of Actuarial Science And Applied Statistic, Faculty Of Business And Management, Ucsi University, Kuala Lumpur, Malaysia 5 cluster Of Education And Social Sciences, Open University Malaysia Abstract This Study Is Done By Using The Majority Rule At The End Of The Process I.E. Covid19 Detection Is Positive When More Than Half Of The Architectures Points In Favour Of It Otherwise Negative. Overall, Results Obtained Demonstrate A Strong Effect Of Deep Learning Architectures On The Covid19 X-Ray Datasets. We Also Discussed Recently Available Datasets Around The Globe And The Application Of Various Dl Architectures. Lenet5, Cnn, Dense-Net121, Densenet169, Densenet201, Resnet50, Vgg16, Vgg19, Mobilenetv2, Nasnetmobile, Nasnetlarge, Inceptionv3, Inceptionresnetv2 And Xception Were Presented With Performance Measures As A Proof Of Concept. Further, We Proposed A Method To Detect The Covid-19 Presence Based On The Results Of The Above Architectures. X-Ray Diagnosing Can Be Used As An Initial Method During Large Population Testing And Can Be Made Easily Available At Any Remote Place With Good Internet Connection. Future Studies Can Include Adding More Data But Not Limited To X-Ray Images. Moreover, Covid-19 Diagnosing With Sonography (Lung Ultrasound) Combined With Radiography Can Be Used To Increase The Detection Power As Ultrasound Frequency Analysis Using Acoustic Models Would Be Good Enough In Identifying Covid-19 Presence. 1 Introduction In 2004 And 2005 Hcov-Nl63 And Hcov-Hkui Strains Were Discovered Which Caused Severe Bronchiolitis And Upper Respiratory Tract Infection. In 2012 Mers Was Discovered Which Was Transmitted From Animals To Humans And Caused More Than 850 Deaths. Sars-Cov-2 Discovered At The End Of 2019 Mark As The More Severe Than Any Other Coronavirus Because Of Its Easily Transmissible Property And No Pre-Existing Immunity About The Virus. Moreover, It Harms The Lower Respiratory Tract (Trachea, Primary Bronchi, Lungs) Along With The Upper Respiratory Tract (Nasal Cavity, Pharynx, Larynx). Infection Is Transmitted Mostly By Droplets (Microscopic Bits Of Phlegm, Saliva Or Mucous) Landing On The Mouth, Nose Or Eyes. Symptoms Can Range From Mild To Severe And Mostly In Older People, Have Hypertension Or Diabetes, Or Heart Or Lung Disease. Every Aspect Requires Efficient Management (Abdul Jalil Et Al., 2021; Mohd Noh Et Al., 2021; Mustafa Et Al., 2021; Roszi Et Al., 2021; Tumisah Et Al., 2021). If It Is Managed Well, Various Problems Can Be Avoided (Irma Et Al., 2021; Suzana Et Al., 2021; Rohanida Et Al., 2021; Nazrah Et Al., 2021; Shahrulliza Et Al., 2021). This Virus Was Initially Originated From Wuhan City In China When The Chinese Official Reported Who About Pneumonia-Like Cases In The Wuhan City In Dec 2019. The First Official Death From This Coronavirus Was