System and method for predicting an emergency health condition

A system comprising:

• a computer system that is configured to be operable for importing or uploading a datafile or dataset;
• a Health Predictor program;
• a memory module that is configured to store said Health Predictor program;
• a CPU that is configured to execute said Health Predictor program;
• a web front end webpage;
• a user interface (UI) that is operable for presenting contents of said web front end webpage;
• a machine learning model module, wherein said machine learning model is operable for training on said imported or uploaded datafile;
• a stroke prediction module that is operable for storing results of stroke predictions;
• a heart attack prediction module that is operable for storing results of heart attack predictions;
• and
• a prediction and accuracy score module that is configured to be operable for providing said stroke and/or heart attack predictions.

A method for predicting one or more health conditions of a patient or user comprising steps for:

• importing or uploading a datafile or dataset, wherein said datafile or dataset comprises a plurality of rows and columns of data;
• wherein said plurality of columns comprise a patient or user attributes include at least one of age, sex, patient's vitals and stroke and/or heart attack status;
• converting all values that are in string format to binary format;
• isolating said stroke status column;
• graphing said stroke status column;
• creating a correlation matrix that show the correlation between a stroke and listed attributes;
• creating a bar graph showing the correlation to stroke data;
• normalizing the data;
• splitting the normalized data into train and test in the x and y directions;
• fitting the data to a stroke prediction model;
• and
• predicting using the patterns found during said fitting process.