INIS
prediction
100%
patients
100%
machine learning
100%
hypotension
100%
blood pressure
42%
dialysis
42%
algorithms
35%
datasets
28%
data
21%
accuracy
21%
comparative evaluations
21%
validation
14%
tools
14%
management
14%
probability
14%
interventions
14%
forests
14%
randomness
14%
auc
14%
investigations
7%
correlations
7%
heat
7%
risks
7%
testing
7%
maps
7%
decision making
7%
matrices
7%
sensitivity
7%
clinical trials
7%
morbidity
7%
mortality
7%
specificity
7%
Psychology
Learning Model
100%
Systolic Blood Pressure
100%
Blood Pressure
100%
Learning Algorithm
66%
Statistical Analysis
66%
Short-Term Memory
66%
Early Intervention
33%
Decision Making
33%
Medicine and Dentistry
Hypotension
100%
Hemodialysis
100%
Systolic Blood Pressure
28%
Diastolic Blood Pressure
21%
Short Term Memory
14%
Clinician
14%
Decision Making
7%
Adverse Event
7%
Early Intervention
7%
Heat Map
7%
Clinical Trial
7%
Neuroscience
Short-Term Memory
100%
Machine Learning Algorithm
100%
Decision-Making
50%
Adverse Effect
50%
Pharmacology, Toxicology and Pharmaceutical Science
Hypotension
100%
Hemodialysis
100%
Clinical Trial
7%
Adverse Event
7%
Biochemistry, Genetics and Molecular Biology