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Developing Clinical Decision Support Systems for Sepsis Prediction Using Temporal and Non-Temporal Machine Learning Methods
(2019-07)
In healthcare, diagnostic errors represent the biggest challenge to synthesize accurate treatments. In the United States, patient deaths due to misdiagnoses are estimated at 40,000 to 80,000 per year. It was also found ...
Self-tuned, block-coordinate, and incremental mirror descent methods with applications in machine learning and wireless communications
(2020-07)
Uncertainty, high-dimensionality, and matrix structure of the decision variables are among the main challenges that may arise in addressing a wide range of stochastic optimization and equilibrium problems in machine learning ...