Personal Medical cost prediction

Keywords: Personal, Medical

Background

The data author got is of to know about the medical situation of a patient and the charges he had paid for the medication or the other services provided by the hospital. While doing the check up so many things are coming is that person smoker or not, patients BMI, patients’ gender, is patient having children or not, and the age of the patient. In the data, the author did not find any null value but found 1 duplicate, but that duplicate was not as per the patient id or name so the author did not drop that column. While handling the outlier author fall into trouble, that was the challenge he has been faced. And the author needs to predict the charges he had paid for the medication so the author used an artificial neural network to predict the charges or the values.

Aim & Objectives

Aim
To Predict the Personal Medical Cost Using DL Techniques
Objective
Create an ANN model for accurate personal medical cost prediction, enabling better financial planning for individuals.
Develop an ANN system that analyzes medical history and parameters to estimate future healthcare expenses.
Evaluate the ANN's cost prediction performance, considering various medical conditions, treatments, and demographic factors.

Research Methodology

ANN Technique used

Software & Tools

Jupyter, Google Collab

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