Identifying locations for public access defibrillators using mathematical optimization
Background— Geospatial methods using mathematical optimization to identify clusters of
cardiac arrests and prioritize public locations for defibrillator deployment have not been studied…
cardiac arrests and prioritize public locations for defibrillator deployment have not been studied…
Applications of machine learning algorithms to predict therapeutic outcomes in depression: a meta-analysis and systematic review
…, K Lin, Z Pan, M Subramaniapillai, TCY Chan… - Journal of affective …, 2018 - Elsevier
Background No previous study has comprehensively reviewed the application of machine
learning algorithms in mood disorders populations. Herein, we qualitatively and quantitatively …
learning algorithms in mood disorders populations. Herein, we qualitatively and quantitatively …
Robust radiotherapy planning
Motion and uncertainty in radiotherapy is traditionally handled via margins. The clinical target
volume (CTV) is expanded to a larger planning target volume (PTV), which is irradiated to …
volume (CTV) is expanded to a larger planning target volume (PTV), which is irradiated to …
Automated treatment planning in radiation therapy using generative adversarial networks
Abstract Knowledge-based planning (KBP) is an automated approach to radiation therapy
treatment planning that involves predicting desirable treatment plans before they are then …
treatment planning that involves predicting desirable treatment plans before they are then …
Overcoming spatial and temporal barriers to public access defibrillators via optimization
Background : Immediate access to an automated external defibrillator (AED) increases the
chance of survival for out-of-hospital cardiac arrest (OHCA). Current deployment usually …
chance of survival for out-of-hospital cardiac arrest (OHCA). Current deployment usually …
Accounting for range uncertainties in the optimization of intensity modulated proton therapy
Abstract Treatment plans optimized for intensity modulated proton therapy (IMPT) may be
sensitive to range variations. The dose distribution may deteriorate substantially when the …
sensitive to range variations. The dose distribution may deteriorate substantially when the …
Generalized inverse multiobjective optimization with application to cancer therapy
We generalize the standard method of solving inverse optimization problems to allow for the
solution of inverse problems that would otherwise be ill posed or infeasible. In …
solution of inverse problems that would otherwise be ill posed or infeasible. In …
Optimizing a drone network to deliver automated external defibrillators
Background: Public access defibrillation programs can improve survival after out-of-hospital
cardiac arrest, but automated external defibrillators (AEDs) are rarely available for bystander …
cardiac arrest, but automated external defibrillators (AEDs) are rarely available for bystander …
Knowledge‐based automated planning with three‐dimensional generative adversarial networks
Purpose To develop a knowledge‐based automated planning pipeline that generates
treatment plans without feature engineering, using deep neural network architectures for …
treatment plans without feature engineering, using deep neural network architectures for …
Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area
BACKGROUND: Patient characteristics, clinical care, resource use and outcomes associated
with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada are not …
with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada are not …
