Knowledge Discovery and Data Mining Using Demographic and Clinical Data to Diagnose Heart Disease.

Knowledge Discovery and Data Mining Using Demographic and Clinical Data to Diagnose Heart Disease.

Cardiovascular disease (CVD) is the leading cause of morbidity, mortality, premature death and reduced quality of life for the citizens of the EU. It has been reported that CVD represents a major economic load on health care sys- tems in terms of hospitalizations, rehabilitation services, physician...

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Bibliographic Details
Main Author: Fernandez Sanchez, Javier
Format: Others
Language:English
Published: KTH, Skolan för kemi, bioteknologi och hälsa (CBH) 2018
Subjects:
machine learning
data science
artificial intelligence
data mining
cardiovascular disease
CVD
exploratory analysis
EDA
clinical data
support vector machines
preprocessing
decision trees
logistic regression
KNN
adaboost
xgboost
random forest
health
healthcare
Medical Engineering
Medicinteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233978

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233978

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