Machine learning

Understanding machine learning classifier decisions in automated radiotherapy quality assurance
The complexity of the radiotherapy planning demands a rigorous quality assurance (QA) process to ensure patient safety and to avoid …
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Knowledge-based isocenter selection in radiosurgery planning
We study knowledge-based isocenter selection approaches in radiosurgery planning. In particular, we want to leverage recent advances in …
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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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Spatio-temporal and class-imbalanced data analytics in healthcare
Data analytics promise to deliver value to industries by providing historical insights that can drive the future decisions. However, …
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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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