Background: Digital clinical measures collected via various digital sensing technologies
such as smartphones, smartwatches, wearables, and ingestible and implantable sensors …

Background The design of computerized systems able to support automated detection of
threatening conditions in critically ill patients such as systemic inflammatory response …

The explosion of digital healthcare data has led to a surge of data-driven medical research
based on machine learning. In recent years, as a powerful technique for big data, deep …

Infections encompass a set of medical conditions of very diverse kinds that can pose a
significant risk to health, and even death. As with many other diseases, early diagnosis can …

Data driven health care research is accentuated due to the Gargantua data available in the
form of structured and unstructured. Forecasting the impact of infectious and epidemic …

Consciousness is a highly significant indicator of an ICU patient's condition but there is still
no method to automatically measure it. Instead, time consuming and subjective assessments …

Öz Sepsis is a fatal condition, which affects at least 26 million people in the world every year
that is resulted by an infection. For every 100,000 people, sepsis is seen in 149-240 of them …

There has been a lot of interest in time series forecasting in recent years. Deep neural
networks have shown their effectiveness and accuracy in various industries. It is currently …

Sepsis is a severe infection-related host response that is linked with high mortality, morbidity
and healthcare expenditures. Its treatment must be done quickly since each hour of delay …

Today, sepsis affects several individuals in the Intensive Care Unit (ICU) because the death
rate is increasing dramatically and it has become a huge concern in the area of healthcare …