Cargando…
Prognosis Prediction in COVID-19 Patients through Deep Feature Space Reasoning
The COVID-19 pandemic has presented a unique challenge for physicians worldwide, as they grapple with limited data and uncertainty in diagnosing and predicting disease outcomes. In such dire circumstances, the need for innovative methods that can aid in making informed decisions with limited data is...
Autores principales: | Ahmad, Jamil, Saudagar, Abdul Khader Jilani, Malik, Khalid Mahmood, Khan, Muhammad Badruddin, AlTameem, Abdullah, Alkhathami, Mohammed, Hasanat, Mozaherul Hoque Abul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137174/ https://www.ncbi.nlm.nih.gov/pubmed/37189488 http://dx.doi.org/10.3390/diagnostics13081387 |
Ejemplares similares
-
Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans
por: Ahmad, Jamil, et al.
Publicado: (2022) -
Multi-Stage Temporal Convolution Network for COVID-19 Variant Classification
por: Ullah, Waseem, et al.
Publicado: (2022) -
Efficient-ECGNet framework for COVID-19 classification and correlation prediction with the cardio disease through electrocardiogram medical imaging
por: Nawaz, Marriam, et al.
Publicado: (2022) -
An Enhanced SEIR Model for Prediction of COVID-19 with Vaccination Effect
por: Poonia, Ramesh Chandra, et al.
Publicado: (2022) -
A Novel Benchmark Dataset for COVID-19 Detection during Third Wave in Pakistan
por: Jalil, Zunera, et al.
Publicado: (2022)