Computational methods for studying relationship between nutritional status and respiratory viral diseases: a systematic review
Z Hussain, MD Borah, RK Ahmed - Artificial Intelligence Review, 2024 - Springer
This study sought to identify the computational methods used in studying the relationship
between nutritional status and human respiratory viral infections. Using the Preferred …
between nutritional status and human respiratory viral infections. Using the Preferred …
An AI-based novel system for predicting respiratory support in COVID-19 patients through CT imaging analysis
The proposed AI-based diagnostic system aims to predict the respiratory support required
for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level …
for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …
G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - journals.economic-research.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks …
O Tutsoy, GG Koç - BMC bioinformatics, 2024 - Springer
Background Blood test is extensively performed for screening, diagnoses and surveillance
purposes. Although it is possible to automatically evaluate the raw blood test data with the …
purposes. Although it is possible to automatically evaluate the raw blood test data with the …
Adaptive Stacking Ensemble Techniques for Early Severity Classification of COVID-19 Patients
During outbreaks of infectious diseases, such as COVID-19, it is critical to rapidly determine
treatment priorities and identify patients requiring hospitalization based on clinical severity …
treatment priorities and identify patients requiring hospitalization based on clinical severity …
ROVM integrated advanced machine learning-based malaria prediction strategy in Tripura
A Debnath, A Tarafdar, AP Reddy… - The Journal of …, 2024 - Springer
Malaria is a deadly disease that can take a person's life if not predicted or cured correctly.
Numerous factors like temperature, humidity, precipitation, etc., impact India's increasing …
Numerous factors like temperature, humidity, precipitation, etc., impact India's increasing …
[HTML][HTML] Clinical Features Predicting COVID-19 Severity Risk at the Time of Hospitalization
The global spread of COVID-19 has led to significant mortality and morbidity worldwide.
Early identification of COVID-19 patients who are at high risk of developing severe disease …
Early identification of COVID-19 patients who are at high risk of developing severe disease …
Study and Analysis the Influence of Immunity Factors of Patient due to Covid 19 using Machine Learning Techniques based on Logistic Regression, Decision Trees …
This research presents a comprehensive analysis of COVID-19 patient data to predict the
risk levels associated with various immunity factors. Utilizing a robust dataset provided by …
risk levels associated with various immunity factors. Utilizing a robust dataset provided by …
George Lăzăroiu
T Gedeon, E Rogalska, M Andronie, KF Michalikova… - ceeol.com
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …