Lung cancer prediction model using ensemble learning techniques and a systematic review analysis

M Mamun, A Farjana, M Al Mamun… - 2022 IEEE World AI …, 2022 - ieeexplore.ieee.org
Lung cancers are malignant lung tumors resulting from uncontrolled growth of lung cells that
metastasizes to other parts of the body and can cause death. Although lung cancer cannot …

Heart failure survival prediction using machine learning algorithm: am I safe from heart failure?

M Mamun, A Farjana, M Al Mamun… - 2022 IEEE world AI …, 2022 - ieeexplore.ieee.org
Heart Failure (HF) is a prevalent ailment worldwide, and despite significant medical
advancements in the past few decades, cardiovascular disease is still the leading cause of …

The value of chest X-ray and CT severity scoring systems in the diagnosis of COVID-19: A review

NAA Majrashi - Frontiers in Medicine, 2023 - frontiersin.org
Coronavirus disease 2019 (COVID-19) is caused by a coronavirus family member known as
severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The main laboratory test to …

Heart disease detection using ml

RC Das, MC Das, MA Hossain… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Hearth disease is one of the leading causes of death globally and a common disease in the
middle and old ages. Among all heart diseases, heart attack and strokes are the most …

Mobapp4infectiousdisease: Classify covid-19, pneumonia, and tuberculosis

MK Mahbub, MZH Zamil, MAM Miah… - 2022 ieee 35th …, 2022 - ieeexplore.ieee.org
Illness due to infectious diseases has been always a global threat. Millions of people die per
year due to COVID-19, pneumonia, and Tuberculosis (TB) as all of them infect the lungs. For …

[图书][B] Active learning to minimize the possible risk of future epidemics

KC Santosh, S Nakarmi - 2023 - Springer
Future epidemics are inevitable. In the realm of medical imaging informatics, the challenge
of addressing future epidemics, such as infectious disease outbreaks like Covid-19, is …

[HTML][HTML] Coronavirus diagnosis using cough sounds: Artificial intelligence approaches

KA Nasab, J Mirzaei, A Zali, S Gholizadeh… - Frontiers in Artificial …, 2023 - ncbi.nlm.nih.gov
Method In this research, Supervised Learning classification algorithms have been used,
which include Support Vector Machine (SVM), random forest, and Artificial Neural Networks …

A Comparative Analysis of Machine Learning-Based Website Phishing Detection Using URL Information

MM Uddin, KA Islam, M Mamun… - 2022 5th International …, 2022 - ieeexplore.ieee.org
The growing popularity of the internet help to expand e-commerce business, but such
activities have security challenges caused by cybercriminals defrauding and stealing …

Cough audio analysis for COVID-19 diagnosis

T Kapoor, T Pandhi, B Gupta - SN Computer Science, 2022 - Springer
Humanity has suffered catastrophically due to the COVID-19 pandemic. One of the most
reliable diagnoses of COVID-19 is RT-PCR (reverse-transcription polymer chain reaction) …

Coronavirus diagnosis using cough sounds: Artificial intelligence approaches

K Askari Nasab, J Mirzaei, A Zali… - Frontiers in Artificial …, 2023 - frontiersin.org
Introduction The Coronavirus disease 2019 (COVID-19) pandemic has caused irreparable
damage to the world. In order to prevent the spread of pathogenicity, it is necessary to …