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Using Data Mining to Predict HospitalAdmissionsfrom the Emergency Department
To help healthcare managers, data holders, and data analzers by making hospital admission management more effective and data-driven, a web-based system called "Using Data Mining to Predict Hospital Admissions from the Emergency Department" was created. It ensures that only authorized and authenticated users can access system functionalities by offering secure login and registration options. Data Analyzers can access datasets to do analysis and produce admission predictions, while Data Holders can enter, update, and manage patient emergency information using an easy-to-use interface. Healthcare servers are capable of monitoring hospital data, reviewing prediction results, and assisting with operational decision-making. The solution incorporates a centralized database using MySQL to guarantee the safe and scalable storage of private medical data. The Data Analyzer dashboard allows for the visualization and study of prediction results, while the Data Holder dashboard makes patient data maintenance easier. Administrators have the option to create reports, keep an eye on system activities generally, and guarantee the prediction process's dependability and openness.
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