Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray

Autor: Irfan Ullah Khan, Nida Aslam, Talha Anwar, Hind S. Alsaif, Sara Mhd. Bachar Chrouf, Norah A. Alzahrani, Fatimah Ahmed Alamoudi, Mariam Moataz Aly Kamaleldin, Khaled Bassam Awary

Publikováno v: Sensors, Vol 22, Iss 2, p 669 (2022)

The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential to control the spread and alleviate risk. Due to the promising

Externí odkaz: https://doaj.org/article/af88034210c4405691bde9b98d465a1e

Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 Patients

Autor: Sumayh S. Aljameel, Irfan Ullah Khan, Fatima M. Alshamrani, Mariam Moataz Aly Kamaleldin, Sara Mhd. Bachar Chrouf, Nida Aslam, Malak Saleh Aljabri

Publikováno v: International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 6429, p 6429 (2021)
Volume 18
Issue 12

The COVID-19 outbreak is currently one of the biggest challenges facing countries around the world. Millions of people have lost their lives due to COVID-19. Therefore, the accurate early detection and identification of severe COVID-19 cases can redu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4b9b373174fb7f062ecf7e027a0448
https://doi.org/10.3390/ijerph18126429