This publication is the end result of an undergraduate term research project by McGill Computer Science student Hui Wang. It describes our approach to combine natural language processing and supervised machine learning to help automate incident classification in radiation oncology.
Congratulations to Dr. Logan Montgomery who successfully defended his PhD thesis on “Spectral measurements and carcinogenic effects modelling of secondary neutrons in radiation therapy”. Logan is the first PhD student to obtain a PhD from the Kildea lab!
This is Logan’s third and final paper directly related to his PhD studies but it is Logan’s six paper as part of the NICE research team and his seventh in the Kildea lab!
Hossein’s paper is our group’s first publication on using Natural Language Processing - a pipeline that we have been working on for several years as part of our larger program to predict pain in patients with bone metastasis.
Congratulations to Felix Mathew who won the People’s Choice award and the runner-up overall award for his 3-minute slam describing his research project at the virtual annual conference of the American Association of Physicists in Medicine!
Haley presented her work studying the relationship between daily rectal wall dose variations during prostate radiotherapy with rectal volume and gas filling information.
James presented on his MSc project that is modelling DNA damage by indirect chemical action following an ionizing radiation event in or near the cell hosting the DNA.
Congratulations to Logan Montgomery for representing the lab and his research project in an excellent presentation!
Hossein presented on his PhD project, which is to develop a system to predict bone pain in the medical images of cancer patients before it becomes painful so that we can treat the lesions prophalatically with radiotherapy.
Felix Mathew presented on his NLP work to assist incident learning in Radiation Oncology.
