Machine learning

Prediction of severe COVID-19 outcomes at the time testing: An anomaly detection approach
Early and effective detection of severe infection cases during a pandemic can significantly help patient prognosis and resource …
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Knowledge-based isocenter selection in radiosurgery planning
Purpose: We present a new method for knowledge-based isocenter selection for treatment planning in radiosurgery. Our objective is to …
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Guided undersampling classification for automated radiation therapy quality assurance of prostate cancer treatment
Purpose: To test the use of well-studied and widely used classification methods alongside newly developed data-filtering techniques …
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Predictive modeling of dosimetric quality assurance in radiation therapy
Volumetric arc therapy (VMAT) is a type of cancer treatment where radiation is delivered continuously from a moving beam source. Due to …
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Deriving pandemic disease mitigation strategies by mining social contact networks
In this chapter we propose a robust approach to deriving disease mitigation strategies from contact networks that are generated from …
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Data mining in bone marrow transplant records to identify patients with high odds of survival
Patients undergoing a bone marrow stem cell transplant (BMT) face various risk factors. Analyzing data from past transplants could …
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Pandemic preparedness & response logistics: mining social contact networks for pandemic disease mitigation strategies
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Applying collaborative filtering techniques to data mining in bone marrow transplant records
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