ABSTRACT
This study is designed to develop Artificial Intelligence (AI) based analysis tool that could accurately detect COVID-19 lung infections based on portable chest x-rays (CXRs). The frontline physicians and radiologists suffer from grand challenges for COVID-19 pandemic due to the suboptimal image quality and the large volume of CXRs. In this study, AI-based analysis tools were developed that can precisely classify COVID-19 lung infection. Publicly available datasets of COVID-19 (N = 1525), non-COVID-19 normal (N = 1525), viral pneumonia (N = 1342) and bacterial pneumonia (N = 2521) from the Italian Society of Medical and Interventional Radiology (SIRM), Radiopaedia, The Cancer Imaging Archive (TCIA) and Kaggle repositories were taken. A multi-approach utilizing deep learning ResNet101 with and without hyperparameters optimization was employed. Additionally, the fea-tures extracted from the average pooling layer of ResNet101 were used as input to machine learning (ML) algorithms, which twice trained the learning algorithms. The ResNet101 with optimized parameters yielded improved performance to default parameters. The extracted features from ResNet101 are fed to the k-nearest neighbor (KNN) and support vector machine (SVM) yielded the highest 3-class classification performance of 99.86% and 99.46%, respectively. The results indicate that the proposed approach can be bet-ter utilized for improving the accuracy and diagnostic efficiency of CXRs. The proposed deep learning model has the potential to improve further the efficiency of the healthcare systems for proper diagnosis and prognosis of COVID-19 lung infection.
ABSTRACT
Objectives: To observe the beneficial effect of steroid Deltacortil on, fever, cough and myalgia in patients with corona virus COVID-19 infection . Study design: Observational Study . Place and duration of study – Furqan Clinic Gulbahar Peshawar from May 2020 till June 2020 Methodology: This study was conducted on 80 adult patients, irrespective of gender, age selected was between 30 - 50 years. Patients were divided into 4 groups, with 20 patients in each group . Group I was control group, did not receive deltacortil, Group 2 received Deltacortil on day One i.e first day of onset of symptoms for 14 days, Group 3 received Deltacortil at day 8 for 14 days and Group 4 received deltacortil at day 15 for 14 days .Dose of Deltacortil was tablet 5mg, twice a day, given to all three experimental groups for 14 days . In all groups fever, cough and myalgia was monitored. Changes and improvement in all three symptoms which occurred with Deltacortil was recorded. Result: In group 1 control group fever, cough and myalgia persisted for 30 days, Group 2 showed that 20 % patients had fever, 55 % had cough and 10 % had myalgia at the end of month In Group 3 fever was present in 65% patients . 85 % patients had cough and 80 % had myalgia after 30 days . Group 4 showed that 90 % had fever, 90 % patients had cough and 30 % had myalgia for 30 days of study. Conclusions: Group 2 received deltacortil from day One of onset of symptoms till day fourteen showed rapid improvement in fever, cough and myalgia than other groups taking deltacortil after seven days of occurance of symptoms. © 2020 Lahore Medical And Dental College. All rights reserved.