The paper describes the medical data personalization problem by determining the individual
characteristics needed to predict the number of days a patient spends in a hospital. The …

The main idea of this work is generated from studying the main challenges in the healthcare
field. The goal is to identify patients who will be admitted to the hospital within the next year …

Recently, the healthcare industry has caught the attention of researchers due to a need to
develop a smart and interactive system for effective and efficient treatment facilities. The …

COVID-19 is highly infectious and has been extensively spread worldwide, with
approximately 651 million definite cases crosswise the globe including Pakistan. At that era …

Adaptable Critical Patient Caring system is a key concern for hospitals in developing
countries like Bangladesh. Most of the hospital in Bangladesh lack serving proper health …

The intricacy and expansion of statistics in increased care sector will lead to an increase in
the application of artificial intelligence (AI). There are several different AI techniques in use …

Diabetes is one of the most critical public health conditions worldwide. It has been shown
that patients with diabetes are associated with a longer length of hospital stay (LOS) and …

It is difficult to use traditional statistical analysis technology to effectively analyze massive
data. Data mining technology has this function and can provide more powerful technical …

Prediction and classification of diseases in the healthcare sector are one of the major
challenges for treating patients on time. Cardiovascular disease, in particular, is a major …

Growing demand for hospital healthcare services has brought significant challenges for their
managers. Variables with high uncertainty degree, such as the number of patients and the …