Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

Abstract Machine learning (ML) is a burgeoning field of medicine with huge resources being
applied to fuse computer science and statistics to medical problems. Proponents of ML extol …

Abstract Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML)
technology have brought on substantial strides in predicting and identifying health …

Artificial intelligence (AI) based disease identification has the potential to transform medicine
by utilizing machine learning algorithms and techniques to analyze large volumes of …

With an increased number of medical data generated every day, there is a strong need for
reliable, automated evaluation tools. With high hopes and expectations, machine learning …

The field of machine learning (ML) is sufficiently young that it is still expanding at an
accelerating pace, lying at the crossroads of computer science and statistics, and at the core …

Abstract Machine learning (ML) and its applications in healthcare have gained a lot of
attention. When enhanced computational power is combined with big data, there is an …

Abstract Machine Learning (ML) provides methods, techniques, and tools that can help
solving diagnostic and prognostic problems in a variety of medical domains. ML is being …

The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …