[HTML][HTML] Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: A deep learning approach
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …
diseases in the current era. Several approaches have been proposed in the literature for the …
Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients
The novel coronavirus (COVID‐19) outbreak produced devastating effects on the global
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
[HTML][HTML] A review on machine learning approaches in identification of pediatric epilepsy
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
A deep learning approach to intelligent fruit identification and family classification
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …
classification problems such as diseases in medical science, marketing in the industry …
A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases
H Yang, H Liu, G Li - Computers in Biology and Medicine, 2023 - Elsevier
Abstract Coronavirus disease (COVID-19) has infected billion people around the world and
affected the economy, but most countries are considering reopening, so the COVID-19 daily …
affected the economy, but most countries are considering reopening, so the COVID-19 daily …
[PDF][PDF] A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction.
The fast-paced growth of artificial intelligence applications provides unparalleled
opportunities to improve the efficiency of various systems. Such as the transportation sector …
opportunities to improve the efficiency of various systems. Such as the transportation sector …
[HTML][HTML] Analysis of computational intelligence approaches for predicting disease severity in humans: Challenges and research guidelines
G Narasimhan, A Victor - Journal of Education and Health …, 2023 - journals.lww.com
The word disease is a common word and there are many diseases like heart disease,
diabetes, breast cancer, COVID-19, and kidney disease that threaten humans. Data-mining …
diabetes, breast cancer, COVID-19, and kidney disease that threaten humans. Data-mining …
ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis
L Fang, X Liang - Computers in biology and medicine, 2022 - Elsevier
The novel coronavirus disease 2019 (COVID-19) pandemic has severely impacted the
world. The early diagnosis of COVID-19 and self-isolation can help curb the spread of the …
world. The early diagnosis of COVID-19 and self-isolation can help curb the spread of the …
Geo-spatial disease clustering for public health decision making
A ur Rahman - Informatica, 2022 - informatica.si
An explosion of interest has been observed in disease mapping with the developments in
advanced spatial statistics and the increasing availability of computerized geographic …
advanced spatial statistics and the increasing availability of computerized geographic …