The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …

Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …

Background Following visible successes on a wide range of predictive tasks, machine
learning techniques are attracting substantial interest from medical researchers and …

Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …

Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …

Quantum computing promises to enhance machine learning and artificial intelligence.
However, recent theoretical works show that, similar to traditional classifiers based on deep …

Objective Diabetes is responsible for considerable morbidity, healthcare utilisation and
mortality in both developed and developing countries. Currently, methods of treating …

Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

Early diseases prediction plays an important role for improving healthcare quality and can
help individuals avoid dangerous health situations before it is too late. This paper proposes …

Background Machine learning is a broad term encompassing a number of methods that
allow the investigator to learn from the data. These methods may permit large real-world …