eric-jon-severson Goto Github PK

apnea-ecg

Detect sleep apnea using heart rate data from wearable devices

dj_her

test

eric_healthcare-

Predictive model - Predicting the heart disease

garminexport

Garmin Connect activity exporter and backup tool

healthcare-predictive

This is a Healthcare Predictive Analytics Model to analyze signals from devices to test a patient for alarming diseases. This model using deep neural networks to predict an alarm based on the signals generated from different devices

heart-disease-prediction-system-in-python-using-support-vector-machine-and-pca

Predicts the Probability of Heart Disease in a person given the patients' medical details . Dimensionality Reduction is performed using Principal Component Analysis and Classifier used is SVM and LinearSVC

heroka_host

Database updated

mckinsey-av-healthcare-hackathon

Predicting stroke using ensemble and boosting algorithms

norway

this is dash hosted in django framework deployed via heroku

parse-garmin-heartrate

postgresql_dash_django

This is an example of deploying a Django website with a DASH web app. The website is hosted via Heroku.

predict-disease-from-symptoms

A Disease-Symptoms Network and a system that predicts diseases from symptoms using a decision tree classifier.

predicting-depression

Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating the dashboard.

prosjekt-1-global-warming

prosjekt-2-transport-porous-media

prosjekt-3-zombies-and-covid-19

prosjekt-4_covid

pyhealth

A Python Library for Health Predictive Models

uis_510

Oppsummering