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Analysis of Blood Pressure using Data Mining Techniques
Soumyalatha Naveen
, Nayana S. Anil
, M. Prerana
, S. Shalen Janet
, V. Yashasvi
School of Computer Engineering
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Dive into the research topics of 'Analysis of Blood Pressure using Data Mining Techniques'. Together they form a unique fingerprint.
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INIS
data
100%
blood pressure
100%
mining
100%
hypertension
66%
cardiovascular diseases
50%
risks
33%
diseases
33%
prediction
33%
public health
33%
monitoring
33%
people
16%
management
16%
weight
16%
interventions
16%
modeling
16%
accuracy
16%
machine learning
16%
pulses
16%
incidents
16%
cardiovascular system
16%
pressure measurement
16%
Nursing and Health Professions
Blood Pressure
100%
Hypertension
100%
Linear Regression Analysis
60%
Cardiovascular Disease
60%
Blood Pressure Monitoring
40%
Public Health
40%
Chronic Disease
20%
Blood Pressure Measurement
20%
Pulse Rate
20%
Dependent Variable
20%
Measurement Accuracy
20%
Cardiovascular System
20%
Diseases
20%
Predictive Model
20%
Medicine and Dentistry
Blood Pressure
100%
Hypertension
100%
Linear Regression Analysis
60%
Cardiovascular Disease
60%
Public Health
40%
Blood Pressure Monitoring
40%
Pulse Rate
20%
Chronic Disease
20%
Blood Pressure Measurement
20%
Measurement Accuracy
20%
Cardiovascular System
20%
Diseases
20%
Prediction Model
20%
Psychology
Blood Pressure
100%
Hypertension
100%
Linear Regression
60%
Public Health
40%
Chronic Disorder
20%
Health Concern
20%
Dependent Variable
20%
Computer Science
Data Mining Technique
100%
Hypertension
100%
Prediction Model
20%
Machine Learning Technique
20%
Predictive Model
20%
Dependent Variable
20%
Extensive Training
20%
Neuroscience
Hypertension
100%
Cardiovascular System
80%
Prediction Model
20%