Clustering Heart Disease Patient Data

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Updated 06/2024

Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.

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Descrição do Projeto

Clustering Heart Disease Patient Data

Doctors frequently study former cases to learn how to best treat their patients. A patient who has a similar health history or symptoms to a previous patient could benefit from undergoing the same treatment. This project investigates whether doctors might be able to group together patients to target treatments using common unsupervised learning techniques. In this project you will use k-means and hierarchical clustering algorithms. The dataset for this project contains characteristics of patients diagnosed with heart disease. It can be found [here](https://archive.ics.uci.edu/ml/datasets/heart+Disease).

Clustering Heart Disease Patient Data

Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.

Iniciar projeto gratuitamente

1
Targeting treatment for heart disease patients
2
Quantifying patient differences
3
Let's start grouping patients
4
Another round of k-means
5
Comparing patient clusters
6
Hierarchical clustering: another clustering approach
7
Hierarchical clustering round two
8
Comparing clustering results
9
Visualizing the cluster contents
10
Conclusion

Junte-se a mais 15 milhões de alunos e comece Clustering Heart Disease Patient Data Hoje!

Crie sua conta gratuita

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Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados são armazenados nos EUA.

Clustering Heart Disease Patient Data

Crie sua conta gratuita

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Descrição do Projeto

Clustering Heart Disease Patient Data

Clustering Heart Disease Patient Data

Pré-requisitos (2)

tasks (10)

Targeting treatment for heart disease patients

Quantifying patient differences

Let's start grouping patients

Another round of k-means

Comparing patient clusters

Hierarchical clustering: another clustering approach

Hierarchical clustering round two

Comparing clustering results

Visualizing the cluster contents

Conclusion

Junte-se a mais 15 milhões de alunos e comece Clustering Heart Disease Patient Data Hoje!

Crie sua conta gratuita

Descrição do Projeto

Clustering Heart Disease Patient Data

Pré-requisitos (2)

tasks (10)

Targeting treatment for heart disease patients

Quantifying patient differences

Let's start grouping patients

Another round of k-means

Comparing patient clusters

Hierarchical clustering: another clustering approach

Hierarchical clustering round two

Comparing clustering results

Visualizing the cluster contents

Conclusion

Junte-se a mais .css-nklxlk{color:var(--wf-brand--main, #03EF62);}15 milhões de alunos e comece Clustering Heart Disease Patient Data Hoje!

Crie sua conta gratuita

Junte-se a mais 15 milhões de alunos e comece Clustering Heart Disease Patient Data Hoje!