Mobile Health care for underserved community

SRIRAM S

SRIRAM S

Bilichi, Tamil Nadu

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  • 0 Collaborators

The healthcare condition among the poor is pathetic. These people lack in quality healthcare due to increased cost, lack of doctors and medicines. Healthcare camps are the only hope for the poor people who cannot afford to pay for expensive treatments or medicines. Therefore patients should ...learn more

Project status: Concept

Artificial Intelligence

Intel Technologies
oneAPI

Docs/PDFs [1]Code Samples [1]Links [1]

Overview / Usage

The healthcare condition among the poor is pathetic. These people lack in quality healthcare due to increased cost, lack of doctors and medicines. Healthcare camps are the only hope for the poor people who cannot afford to pay for expensive treatments or medicines.

Therefore patients should be treated with proper care, love, and respect in the camps. There should be no discrimination done at any stage of treatment.

Healthcare camps are the only hope for the unprivileged community where their problems are heard and resolved with respect and dignity.

Methodology / Approach

Steps

1.Installing the Libraries 2.Importing the Dataset 3.Filling the Missing Values 4.Exploratory Data Analysis 5.Feature Engineering 6.Implementing Machine Learning Models 7.Predicting Unseen Data 8.Concluding the Report

Technologies Used

XGBoost : which stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library.

It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems.

Documents and Presentations

Repository

https://github.com/SRISUDIV/Mobile-Health-care-for-underserved-community/blob/main/Healthcare_Project.ipynb

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