Multi-Modality and Feature Fusion-Based COVID-19 Detection Through Long Short-Term Memory

• Main Authors: Noureen Fatima, Rashid Jahangir, Ghulam Mujtaba, Adnan Akhunzada, Zahid Hussain Shaikh, Faiza Qureshi
• Format: Article
• Language: English; English
• Published: Tech Science Press 2022
• Subjects: QA75.5-76.95 Electronic computers. Computer science; RA648.5-767 Epidemics. Epidemiology. Quarantine. Disinfection
• Online Access: https://eprints.ums.edu.my/id/eprint/33313/1/Multi-Modality%20and%20Feature%20Fusion-Based%20COVID-19%20Detection%20Through%20Long%20Short-Term%20Memory.pdf; https://eprints.ums.edu.my/id/eprint/33313/2/Multi-Modality%20and%20Feature%20Fusion-Based%20COVID-19%20Detection%20Through%20Long%20Short-Term%20Memory1.pdf; https://eprints.ums.edu.my/id/eprint/33313/; https://www.techscience.com/cmc/v72n3/47453; https://www.techscience.com/cmc/v72n3/47453
• Institution: Universiti Malaysia Sabah

The Coronavirus Disease 2019 (COVID-19) pandemic poses the worldwide challenges surpassing the boundaries of country, religion, race, and economy. The current benchmark method for the detection of COVID-19 is the reverse transcription polymerase chain reaction (RT-PCR) testing. Nevertheless, this te...