Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …

Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated
its potency to significantly improve the quantification and classification workflows in …

In this digital era, artificial intelligence (AI) is establishing a strong foothold in commercial
industry and the field of technology. These effects are trickling into the healthcare industry …

Aims Heart failure (HF) is one of the most frequent diagnoses for 30-day readmission after
hospital discharge. Nurses have role in reducing unplanned readmission and providing …

Cardiovascular disease (CVD) in cancer patients can affect the risk of unplanned
readmissions, which have been reported to be costly and associated with worse mortality …

Background Heart failure (HF) is highly prevalent in the United States. Approximately one-
third to one-half of HF cases are categorized as HF with reduced ejection fraction (HFrEF) …

Hospital readmissions are a major concern for healthcare leaders, policy makers, and
patients, resulting in adverse health outcomes and imposing an increased burden on …

Background Machine learning algorithms for predicting 30-day stroke readmission are rarely
discussed. The aims of this study were to identify significant predictors of 30-day …

Accurate identification of patient populations is an essential component of clinical research,
especially for medical conditions such as chronic cough that are inconsistently defined and …

Aims Assessing the risk for HF rehospitalization is important for managing and treating
patients with HF. To address this need, various risk prediction models have been developed …