Abstract Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …

The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …

The prediction of human diseases precisely is still an uphill battle task for better and timely
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …

Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

Background Clinical practice guidelines are systematically developed statements intended
to optimize patient care. However, a gapless implementation of guideline recommendations …

Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

The lack of publicly accessible text corpora is a major obstacle for progress in natural
language processing. For medical applications, unfortunately, all language communities …

Text mining has been a popular research topic in the field of natural language processing.
With the emergence of Web 2.0 and the development of social software, the amount of text …

Implementation of clinical practice guidelines (CPG) is a complex and challenging task.
Computer technology, including artificial intelligence (AI), has been explored to promote the …

An overwhelming number of disease surveys capture patient records of the severity of their
illness indications that enable differentiation of patient ailment from typical indication. This …