Battling COVID-19 using machine learning: A review

Abstract

Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2) known as Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is causing chaos all around the world. The World Health Organisation (WHO) declared it a pandemic in March 2020. To handle COVID-19 related problems, research in many areas of science was introduced. Machine learning (ML), being one of the most successful stories in recent times is widely used to solve a variety of problems in our everyday life. Here, an overview of machine learning that tackles the pandemic is discussed in the beginning. Various datasets related to COVID-19 are also explored. Diagnosis of this viral disease using CT-Scans, X-ray images, sound analysis and blood tests using machine learning are presented in-depth. Drug and vaccine development using machine learning for COVID-19 are also discussed. Pandemic management and control were also examined. The main objective of this paper is to conduct a systematic review of machine learning applications that fight the deadly virus. This paper helps the researchers to understand and analyse the data trends related to COVID-19 and also

Análisis sobre el uso de la tecnología en el proceso educativo de la Psicología durante la pandemia Covid-19 considerando la ciencia de datos

“…La ciencia de datos permite identificar, clasificar y evaluar los datos de las variables con el propósito de descubrir información relevante de los fenómenos (Chadaga et al, 2021;Lezhnina & Kismihok, 2021). En el aprendizaje automático, las técnicas sobre la regresión lineal y el árbol de decisión facilitan el análisis sobre las variables independientes y dependientes para establecer las condiciones y relaciones de los eventos predictivos y descriptivos (Lezhnina & Kismihok, 2021).…”

“…De acuerdo con Chadaga et al (2021), la técnica de regresión lineal tienen un papel fundamental en el campo de la medicina debido a que ésta permite analizar y predecir el comportamiento de las enfermedades y virus como el SARS-CoV-2. Incluso, esta técnica de la ciencia de datos permite conocer el nivel de influencia entre las variables de estudio por medio de la división de la muestra en la sección de entrenamiento y evaluación (Chadaga et al, 2021;Lezhnina & Kismihok, 2021;Salas-Rueda, 2021).…”

“…Por otro lado, la técnica árbol de decisión permite la identificación de las condiciones que afectan a las variables dependientes e independientes considerando las características de los usuarios (Chadaga et al, 2021;Salas-Rueda, 2021). Por ejemplo, esta técnica permitió la identificación de las condiciones sobre el uso de las herramientas tecnológicas en la asignatura Matemáticas Financieras considerando el perfil de los estudiantes (Salas-Rueda, 2021).…”

Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning

“…The blood and laboratory markers of COVID-19 patients can change drastically and these parameters can be used in the preliminary screening according to a numerous number of medical studies [29][30][31][32][33]. The presence of this infection can be confirmed by diagnosis, while a probabilistic indication of the disease's presence can be provided by a round of initial screening tests.…”

COVID-19: An Efficient Big Data Analytics for SARS-CoV-2 Mutations Prediction: A Machine Learning Approach

“…Because of the novelty of this disease, its clinical course and treatment are largely unknown (5) . By the end of December 2021, there will be 41359 cases in the European Union Medical Diagnosis Register, of which 6790 are clinical trials conducted with less than 18-year-old people (6)(7)(8)(9) . Over 289 million people worldwide have been infected since then, and over 5.44 million people have died from coronavirus disease as of December 2021 (10) .…”