Selected article for: "model performance and real time"
Author: Rahul Kumar; Ridhi Arora; Vipul Bansal; Vinodh J Sahayasheela; Himanshu Buckchash; Javed Imran; Narayanan Narayanan; Ganesh N Pandian; Balasubramanian Raman
Title: Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers
  • Document date: 2020_4_17
    • ID: 59ghorzf_13
    Snippet: author/funder, who has granted medRxiv a license to display the preprint in perpetuity. Model Performance: Once the training of the model is performed, it becomes easy to further classify the features separately into 3 classes, namely, COVID-19, Pneumonia and Normal. In real-time, for example, if some random patient comes for screening, we can determine whether he/she has COVID or he/she is suffering from Pneumonia or Healthy using the proposed m.....
    Document: author/funder, who has granted medRxiv a license to display the preprint in perpetuity. Model Performance: Once the training of the model is performed, it becomes easy to further classify the features separately into 3 classes, namely, COVID-19, Pneumonia and Normal. In real-time, for example, if some random patient comes for screening, we can determine whether he/she has COVID or he/she is suffering from Pneumonia or Healthy using the proposed model by taking the chest X-ray and sending it to the proposed model.

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