Learn practical skills, build real-world projects, and advance your career

Heart Failure Prediction Analysis

Heart failure is a condition that develops when your heart doesn’t pump enough blood for your body’s needs. This can happen if your heart can’t fill up with enough blood. It can also happen when your heart is too weak to pump properly. The term "heart failure" does not mean that your heart has stopped. However, heart failure is a serious condition that needs medical care (National Institute of Health).
Globally, about 2.6 million people is affected my heart failure and it's increasing in prevalence. In the United State, heart failure affect about 6.2 million adults (Center for Disease Control and Prevention).
Currently, there jis not cure for heart failure. However, treatment sure as healthy lifestyle changes, medicines, some devices and procedures can help many people have a higher quality of life.

This analysis will use 11 clinical features for predicting heart disease to predict whether a person has chance of getting heart failure. The dataset will be loaded from https://www.kaggle.com/fedesoriano/heart-failure-prediction/code

Downloading the Dataset

!pip install jovian opendatasets --upgrade --quiet
dataset_url = 'https://www.kaggle.com/fedesoriano/heart-failure-prediction' 
import opendatasets as od
od.download(dataset_url)
Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds Your Kaggle username: rosinaamenebede Your Kaggle Key: ········ Downloading heart-failure-prediction.zip to ./heart-failure-prediction
100%|██████████| 8.56k/8.56k [00:00<00:00, 5.99MB/s]