Improved genetic algorithm for readmission risk index optimization

Heart failure has become a huge public health problem, and failure to accurately predict readmission will further lead to the disease’s high cost and high mortality. The construction of readmission prediction model can assist doctors in making ...

• The clinical notes (unstructured data) are used for prognostic prediction.
• The Adaptive-TMix is proposed to reduce the impact of unbalanced categories.
• The proposed knowledge-informed graph attention mechanism can improve coding ...

The COVID-19 pandemic has placed immense strain on healthcare systems. In response to this challenge, our study employs machine learning techniques to identify and analyze risk factors associated with COVID-19 all-cause 90-day readmission. ...

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• Targeted interventions for high risk patients are required to curb hospital readmissions and care costs.

Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose significant health risks and escalate care cost. In order to reduce readmissions and curb the cost of care, it is important to initiate ...