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 overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Abstract The World Health Organization (WHO) declared a pandemic in response to the
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
Clinical and laboratory approach to diagnose COVID-19 using machine learning
Abstract Coronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of
acute respiratory syndrome that has had a significant influence on both economy and health …
acute respiratory syndrome that has had a significant influence on both economy and health …
Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images
N Sampathila, K Chadaga, N Goswami, RP Chadaga… - Healthcare, 2022 - mdpi.com
Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters
The World Health Organization labelled the new COVID-19 breakout a public health crisis of
worldwide concern on 30 January 2020, and it was named the new global pandemic in …
worldwide concern on 30 January 2020, and it was named the new global pandemic in …
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: A custom stacked ensemble machine learning approach
The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide.
This gynecological carcinoma causes many deaths, even though it can be treated by …
This gynecological carcinoma causes many deaths, even though it can be treated by …
Deep learning model for detection of COVID-19 utilizing the chest X-ray images
S Abdul Gafoor, N Sampathila, S KS - Cogent Engineering, 2022 - Taylor & Francis
The COVID-19 pandemic has caused more than 200 million infected cases and 4 million
deaths across the world. The pandemic has triggered a massive epidemic, with a significant …
deaths across the world. The pandemic has triggered a massive epidemic, with a significant …
COVID-19 mortality prediction among patients using epidemiological parameters: an ensemble machine learning approach
Abstract Coronavirus infection (COVID-19) is a dangerous disease caused by the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread all around …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread all around …
Medical diagnosis of COVID-19 using blood tests and machine learning
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), colloquially
known as Coronavirus surfaced in late 2019 and is an extremely dangerous disease. RT …
known as Coronavirus surfaced in late 2019 and is an extremely dangerous disease. RT …
Machine learning-based detection of dengue from blood smear images utilizing platelet and lymphocyte characteristics
H Mayrose, GM Bairy, N Sampathila, S Belurkar… - Diagnostics, 2023 - mdpi.com
Dengue fever, also known as break-bone fever, can be life-threatening. Caused by DENV,
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …