this is a group project .this student only take in charge of three parts : introduction , literature survey and background, must follow the topic I attached below

paperdetails4.docx

List of variables (independent & dependent):

Patient Flow

Patient Age & the Population Age

Hospital Size (Staff member, rotations, # of medical devices)

Country that the Hospital is In (could be visualized as the Gini Coefficient)

Type of Economy (Market, Central)

Economy Size (could be visualized as the Real GDP per Capita)

Local Wealth Base

Unemployment Rate

Daily Schedules/Rotations of Nurses & Doctors

Arrangement System of Hospital Beds

List of Formulae & Models:

a) Aging of population and Economy:

•Gini Coefficient

•Lorenz Curve

•Phillips Curve

•Demand & Supply Curve for the Market in Hospital Beds

b) Reallocation of Hospital Beds based on a):

•Logistics Model for the prediction of future patient flow

•Convolutional Neural Network to help level up the efficiency of Logistics Model by adding artificial intelligence training components into it

•Linear Regression

•Erlang Loss Formula A&B&C

•Network Furl Model

•Linear Optimization Model

Different Parameters:

Opportunity Cost of reallocation of nurses

Opportunity/Foregone Cost of reallocating doctors,

Opportunity Cost of rearranging hospital beds

Depending on the hospital size, the maximum capacity of patients