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Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
With the availability of a large volume of health care datasets and progressions in deep learning techniques, systems are now well equipped to predict the future trend of any health problems.
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering
Clustering short text streams is a challenging task due to its unique properties: infinite length, sparse data representation and cluster evolution.
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