Diagnosing COVID-19 using artificial intelligence: A comprehensive review
Abstract In early March 2020, the World Health Organization (WHO) proclaimed the novel
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
An improved binary dandelion algorithm using sine cosine operator and restart strategy for feature selection
J Dong, X Li, Y Zhao, J Ji, S Li, H Chen - Expert Systems with Applications, 2024 - Elsevier
Feature selection (FS) is an important data preprocessing technology for machine learning
and data mining. Metaheuristic algorithm (MH) has been widely used in feature selection …
and data mining. Metaheuristic algorithm (MH) has been widely used in feature selection …
[HTML][HTML] CBCovid19EC: A dataset complete blood count and PCR test for COVID-19 detection in Ecuadorian population
R Ordoñez-Avila, J Parraga-Alava, JM Hormaza… - Data in Brief, 2023 - Elsevier
In this work, we present the complete blood count data and PCR test results of a population
of Ecuadorians from different provinces, primarily residing in the Andean region, especially …
of Ecuadorians from different provinces, primarily residing in the Andean region, especially …
[PDF][PDF] Hilab System Device in an Oncological Hospital: A New Clinical Approach for Point of Care CBC Test, Supported by the Internet of Things and Machine …
AT Gasparin, CIF Araujo, MR Cardoso, P Schmitt… - 2023 - academia.edu
The complete blood count (CBC) is a highly requested test that is generally restricted to
centralized laboratories, which are limited by high cost, being maintenance-demanding, and …
centralized laboratories, which are limited by high cost, being maintenance-demanding, and …
RBTM: Prediction of COVID-19 from Random Blood Test with Machine Learning Algorithms
LW Mary, SAA Raj - … on System Modeling & Advancement in …, 2022 - ieeexplore.ieee.org
Recently, the ongoing global pandemic of novel coronavirus infection had a devastating
impact worldwide. We develop an efficient classification model that effectively produces the …
impact worldwide. We develop an efficient classification model that effectively produces the …
[PDF][PDF] Diagnosing COVID‑19 using artificial intelligence: a comprehensive
Abstract In early March 2020, the World Health Organization (WHO) proclaimed the novel
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
A HYBRID DECISION SUPPORT SYSTEM APPLICATION WITH THE ANALYTIC HIERARCHY PROCESS AND DATA MINING TECHNIQUES: DIAGNOSIS OF …
A Bursalı, A Suner - Karya Journal of Health Science, 2023 - dergipark.org.tr
Objective: Data mining techniques have a significant impact on enhancing the precision of
diagnostics based on artificial intelligence. In this research, it was aimed to develop a web …
diagnostics based on artificial intelligence. In this research, it was aimed to develop a web …
Hilab System Device in an Oncological Hospital: A New Clinical Approach for Point of Care CBC Test, Supported by the Internet of Things and Machine Learning
AT Gasparin, CIF Araujo, MR Cardoso, P Schmitt… - Diagnostics, 2023 - mdpi.com
The complete blood count (CBC) is a highly requested test that is generally restricted to
centralized laboratories, which are limited by high cost, being maintenance-demanding, and …
centralized laboratories, which are limited by high cost, being maintenance-demanding, and …