Add to ORKGInterpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction mode
<p>Performance of different classification algorithms for stroke type identification.</p
ABSTRAK- To prevent stroke, we need a way to predict whether someone has had a stroke through medica...
Model weights for the project titled: "Prediction of functional outcome after ischemic stroke: a dy...
We aim to produce predictive models that are not only accurate, but are also interpretable to human ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This electronic version was submitted by the student author. The certified thesis is available in th...
This study explores the application of machine learning in the prediction of stroke occurrences, a c...
Abstract: Due to rapid changing in human lifestyles, a set of biological factors of human lives has ...
Stroke is the third most common cause of death and the most common cause of long-term disability amo...
This is Naive Bayes Classifier based on Maximum Likelihood Estimation. The first model is to handle ...
Bayesian network is an increasingly popular method in modeling uncertain and complex problems, becau...
Stroke is a non-communicable disease and is very dangerous because of functional disorders of the br...
The main cause of stroke is the unexpected blockage of blood flow to the brain. The brain cells die ...
the primary goal of this paper is to predict coronary heart stroke. coronary heart strokes are on th...
In this paper, we introduce an automatic evaluation system, mFAST, for the examination of neurologic...
<p>Performance of different classification algorithms for stroke type identification.</p
ABSTRAK- To prevent stroke, we need a way to predict whether someone has had a stroke through medica...
Model weights for the project titled: "Prediction of functional outcome after ischemic stroke: a dy...
We aim to produce predictive models that are not only accurate, but are also interpretable to human ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
This electronic version was submitted by the student author. The certified thesis is available in th...
This study explores the application of machine learning in the prediction of stroke occurrences, a c...
Abstract: Due to rapid changing in human lifestyles, a set of biological factors of human lives has ...
Stroke is the third most common cause of death and the most common cause of long-term disability amo...
This is Naive Bayes Classifier based on Maximum Likelihood Estimation. The first model is to handle ...
Bayesian network is an increasingly popular method in modeling uncertain and complex problems, becau...
Stroke is a non-communicable disease and is very dangerous because of functional disorders of the br...
The main cause of stroke is the unexpected blockage of blood flow to the brain. The brain cells die ...
the primary goal of this paper is to predict coronary heart stroke. coronary heart strokes are on th...
In this paper, we introduce an automatic evaluation system, mFAST, for the examination of neurologic...
<p>Performance of different classification algorithms for stroke type identification.</p
ABSTRAK- To prevent stroke, we need a way to predict whether someone has had a stroke through medica...
Model weights for the project titled: "Prediction of functional outcome after ischemic stroke: a dy...