Lung cancer risk prediction with machine learning models
The lungs are the center of breath control and ensure that every cell in the body receives
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
Machine learning techniques for chronic kidney disease risk prediction
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney
function over time. It describes a clinical entity that causes kidney damage and affects the …
function over time. It describes a clinical entity that causes kidney damage and affects the …
Efficient data-driven machine learning models for cardiovascular diseases risk prediction
Cardiovascular diseases (CVDs) are now the leading cause of death, as the quality of life
and human habits have changed significantly. CVDs are accompanied by various …
and human habits have changed significantly. CVDs are accompanied by various …
Supervised machine learning models for liver disease risk prediction
The liver constitutes the largest gland in the human body and performs many different
functions. It processes what a person eats and drinks and converts food into nutrients that …
functions. It processes what a person eats and drinks and converts food into nutrients that …
Long-term coronary artery disease risk prediction with machine learning models
The heart is the most vital organ of the human body; thus, its improper functioning has a
significant impact on human life. Coronary artery disease (CAD) is a disease of the coronary …
significant impact on human life. Coronary artery disease (CAD) is a disease of the coronary …
Efficient data-driven machine learning models for hypertension risk prediction
Hypertension is a chronic condition characterized by high pressure in the arteries of the
human body. As a result, the heart is forced to work more intensively for the normal …
human body. As a result, the heart is forced to work more intensively for the normal …
Continuous glucose monitoring data for artificial intelligence-based predictive glycemic event: A potential aspect for diabetic care
Background Diabetes mellitus is a chronic metabolic disorder that affects 537 million of the
population worldwide whereby continuous glucose monitoring (CGM) has been …
population worldwide whereby continuous glucose monitoring (CGM) has been …
A voting classifier for mortality prediction post-thoracic surgery
Thoracic surgery involves the surgical treatment of vital organs inside the thoracic cavity to
treat conditions of the lungs, heart, trachea, diaphragm, etc. Such procedures are primarily …
treat conditions of the lungs, heart, trachea, diaphragm, etc. Such procedures are primarily …
Supervised machine learning models to identify early-stage symptoms of sars-cov-2
The coronavirus disease (COVID-19) pandemic was caused by the SARS-CoV-2 virus and
began in December 2019. The virus was first reported in the Wuhan region of China. It is a …
began in December 2019. The virus was first reported in the Wuhan region of China. It is a …
Meta-IDS: Meta-Learning Based Smart Intrusion Detection System for Internet of Medical Things (IoMT) Network
The Internet of Medical Things (IoMT) plays a crucial role in advancing smart healthcare by
facilitating the real-time collection and processing of medical data. These interconnected …
facilitating the real-time collection and processing of medical data. These interconnected …