A survey on the explainability of supervised machine learning
N Burkart, MF Huber - Journal of Artificial Intelligence Research, 2021 - jair.org
Predictions obtained by, eg, artificial neural networks have a high accuracy but humans
often perceive the models as black boxes. Insights about the decision making are mostly …
often perceive the models as black boxes. Insights about the decision making are mostly …
Predictive models for COVID-19 detection using routine blood tests and machine learning
YV Kistenev, DA Vrazhnov, EE Shnaider, H Zuhayri - Heliyon, 2022 - cell.com
The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now.
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …
[HTML][HTML] Ensemble learning model for diagnosing COVID-19 from routine blood tests
Background and objectives The pandemic of novel coronavirus disease 2019 (COVID-19)
has severely impacted human society with a massive death toll worldwide. There is an …
has severely impacted human society with a massive death toll worldwide. There is an …
An ensemble learning model for COVID-19 detection from blood test samples
OO Abayomi-Alli, R Damaševičius, R Maskeliūnas… - Sensors, 2022 - mdpi.com
Current research endeavors in the application of artificial intelligence (AI) methods in the
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
[HTML][HTML] A multimodality machine learning approach to differentiate severe and nonsevere COVID-19: model development and validation
Y Chen, L Ouyang, FS Bao, Q Li, L Han… - Journal of medical …, 2021 - jmir.org
Background Effectively and efficiently diagnosing patients who have COVID-19 with the
accurate clinical type of the disease is essential to achieve optimal outcomes for the patients …
accurate clinical type of the disease is essential to achieve optimal outcomes for the patients …
An agent-based study on the airborne transmission risk of infectious disease in a fever clinic during COVID-19 pandemic
Prevention of nosocomial infections is particularly important for the control of COVID-19
pandemic. We conducted a field study and performed extensive numerical simulations of …
pandemic. We conducted a field study and performed extensive numerical simulations of …
A survey of COVID-19 diagnosis using routine blood tests with the aid of artificial intelligence techniques
S Abbasi Habashi, M Koyuncu, R Alizadehsani - Diagnostics, 2023 - mdpi.com
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), causing a disease
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …
Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets
The Coronavirus pandemic caused by the novel SARS-CoV-2 has significantly impacted
human health and the economy, especially in countries struggling with financial resources …
human health and the economy, especially in countries struggling with financial resources …
[HTML][HTML] Optimizing energy expenditure in agricultural autonomous ground vehicles through a GPU-accelerated particle swarm optimization-artificial neural network …
R Machavaram - Cleaner Energy Systems, 2024 - Elsevier
The accurate energy consumption prediction in Agricultural Ground Vehicles (AGVs) holds
immense potential for optimizing operational efficiency and minimizing environmental …
immense potential for optimizing operational efficiency and minimizing environmental …
COVID-19 IgG antibodies detection based on CNN-BiLSTM algorithm combined with fiber-optic dataset
The urgent need for efficient and accurate automated screening tools for COVID-19
detection has led to research efforts exploring various approaches. In this study, we present …
detection has led to research efforts exploring various approaches. In this study, we present …