Browsing by Author "Shaikh, Manzar Jamal (16CO50)"

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    Nex-Gen-Hospice
    (AIKTC, 2020-05) Sheikh, Javed; Sayyed, Wasim Hamid (16CO48); Shaikh, Manzar Jamal (16CO50); Shaikh, Faizan Husein (16CO49)
    Hospice (Hospital Management System): A web app where Hospital staff can login and manage whole Hospital. In this Hospital management system we are going to fit an Machine Learning Model which will output as Expected date of patient discharge, discharge probability,Expected Medical Bill, Expected Laboratory Bill and Total Bill based on their data. This will help Hospital to regulate their bed schedulling and generate revenue for Hospital. The aim of the proposed system is to predict the Discharge date of the patient and their billing information.This project is focused mainly on predicting Discharge date and billing info of patient based on their diseases. It will be implemented using Machine Learning techniques to predict the discharge date and billing info.An approach model to predict the Disease area by using Classification algorithm.The algorithm takes an input as previous disease,bllod group etc.we use RandomForestClassifier Algorithm. Keywords: Django,html,css,bootstrap,js,python,machine Learning,Hospice database,dummy dataset,svm algorithm,Random Forest algorithm.