English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Heart disease is the leading cause of death worldwide. Currently, 33% ofcases are misdiagnosed, and approximately half of myocardial infarctions occurin people who are not predicted to be at risk. The use of ArtificialIntelligence could reduce the chance of error, leading to possible earlierdiagnoses, which could be the difference between life and death for some. Theobjective of this project was to develop an application for assisted heartdisease diagnosis using Machine Learning (ML) and Deep Neural Network (DNN)algorithms. The dataset was provided from the Cleveland Clinic Foundation, andthe models were built based on various optimization and hyper parametrizationtechniques including a Grid Search algorithm. The application, running onFlask, and utilizing Bootstrap was developed using the DNN, as it performedhigher than the Random Forest ML model with a total accuracy rate of 92%.

A Novel Approach to the Diagnosis of Heart Disease using Machine Learning and Deep Neural Networks