title: Metaheuristic optimization of insulin infusion protocols using historical data with validation using a patient simulator

authors: Wang, Hongyu

subjects: computer science

abstract: Metaheuristic search algorithms are used to develop new protocols for optimal intravenous insulin infusion rate recommendations in scenarios involving hospital in-patients with Type 1 Diabetes. Two metaheuristic search algorithms are used, namely, Particle Swarm Optimization and Covariance Matrix Adaption Evolution Strategy. The Glucose Regulation for Intensive Care Patients (GRIP) serves as the starting point of the optimization process. We base our experiments on a methodology in the literature to evaluate the favorability of insulin protocols, with a dataset of blood glucose level/insulin infusion rate time series records from 16 patients obtained from the Waikato District Health Board. New and significantly better insulin infusion strategies than GRIP are discovered from the data through metaheuristic search. The newly discovered strategies are further validated and show good performance against various competitive benchmarks using a virtual patient simulator.

text: Metaheuristic optimization of insulin infusion protocols using historical data with validation using a patient simulator Metaheuristic search algorithms are used to develop new protocols for optimal intravenous insulin infusion rate recommendations in scenarios involving hospital in-patients with Type 1 Diabetes. Two metaheuristic search algorithms are used, namely, Particle Swarm Optimization and Covariance Matrix Adaption Evolution Strategy. The Glucose Regulation for Intensive Care Patients (GRIP) serves as the starting point of the optimization process. We base our experiments on a methodology in the literature to evaluate the favorability of insulin protocols, with a dataset of blood glucose level/insulin infusion rate time series records from 16 patients obtained from the Waikato District Health Board. New and significantly better insulin infusion strategies than GRIP are discovered from the data through metaheuristic search. The newly discovered strategies are further validated and show good performance against various competitive benchmarks using a virtual patient simulator.

year: 2021

title: Non-orthogonally transitive G₂ spike solution

authors: Lim, Woei Chet

subjects: Science & Technology

abstract: We generalize the orthogonally transitive (OT) G₂ spike solution to the non-OT G₂ case. This is achieved by applying Geroch's transformation on a Kasner seed. The new solution contains two more parameters than the OT G₂ spike solution. Unlike the OT G₂ spike solution, the new solution always resolves its spike.

text: Non-orthogonally transitive G₂ spike solution We generalize the orthogonally transitive (OT) G₂ spike solution to the non-OT G₂ case. This is achieved by applying Geroch's transformation on a Kasner seed. The new solution contains two more parameters than the OT G₂ spike solution. Unlike the OT G₂ spike solution, the new solution always resolves its spike.

year: 2015

title: Maori & Psychology Research Unit annual report 2005

authors: Rua, Mohi

subjects: Maori and Psychology Research Unit

abstract: Annual report of the Maori and Psychology Research Unit (MPRU) 2005. The unit was established in August of 1997. The unit is designed to provide a catalyst and support network for enhancing research concerning the psychological needs, aspirations, and priorities of Maori people. The MPRU is well situated to draw together skilled and experienced interdisciplinary research groups by networking and establishing working relationships with staff and students within the Faculty of Arts and Social Sciences, the University, and the wider community.

text: Maori & Psychology Research Unit annual report 2005 Annual report of the Maori and Psychology Research Unit (MPRU) 2005. The unit was established in August of 1997. The unit is designed to provide a catalyst and support network for enhancing research concerning the psychological needs, aspirations, and priorities of Maori people. The MPRU is well situated to draw together skilled and experienced interdisciplinary research groups by networking and establishing working relationships with staff and students within the Faculty of Arts and Social Sciences, the University, and the wider community.

year: 2005