Artificial intelligence for autonomous molecular design: A perspective
Domain-aware artificial intelligence has been increasingly adopted in recent years to
expedite molecular design in various applications, including drug design and discovery …
expedite molecular design in various applications, including drug design and discovery …
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 …
[HTML][HTML] Prediction of wine quality using machine learning algorithms
As a subfield of Artificial Intelligence (AI), Machine Learning (ML) aims to understand the
structure of the data and fit it into models, which later can be used in unseen data to achieve …
structure of the data and fit it into models, which later can be used in unseen data to achieve …
GSVMA: a genetic support vector machine ANOVA method for CAD diagnosis
Background Coronary artery disease (CAD) is one of the crucial reasons for cardiovascular
mortality in middle-aged people worldwide. The most typical tool is angiography for …
mortality in middle-aged people worldwide. The most typical tool is angiography for …
Predicting asthma using imbalanced data modeling techniques: Evidence from 2019 Michigan BRFSS data
Studies in the past have examined asthma prevalence and the associated risk factors in the
United States using data from national surveys. However, the findings of these studies may …
United States using data from national surveys. However, the findings of these studies may …
Evaluating the Performance of Supervised Machine Learning Algorithms for Predicting Multiple Diseases: A Comparative Study
Machine learning has become one of the most popular and widely used techniques in
various industries, especially in the healthcare sector. This paper focuses on examining the …
various industries, especially in the healthcare sector. This paper focuses on examining the …
Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests
Several authors have shown that hematological parameters can be used to detect poor
prognosis in patients with cancer. Thus, such features could be used in artificial intelligence …
prognosis in patients with cancer. Thus, such features could be used in artificial intelligence …
Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques
BACKGROUND: Heart disease is a severe health issue that results in high fatality rates
worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and …
worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and …
Predicting the Direction of NEPSE Index Movement with News Headlines Using Machine Learning
Predicting stock market movement direction is a challenging task due to its fuzzy, chaotic,
volatile, nonlinear, and complex nature. However, with advancements in artificial …
volatile, nonlinear, and complex nature. However, with advancements in artificial …
Diagnosis of cardiac disease utilizing machine learning techniques and dense neural networks
In numerous different polls, heart illnesses constantly rank among the leading causes of
death. The reason behind is the complexity of these diseases and the high prevalence of …
death. The reason behind is the complexity of these diseases and the high prevalence of …