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University of Coimbra, Portugal

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2 Papers

A Mobile System for Treatment of Depression

Authors: Pepijn van de Ven ¹ , Mário Ricardo Henriques ² , Mark Hoogendoorn ³ , Michel Klein ³ , Elaine McGovern ¹ , John Nelson ¹ , Hugo Silva ⁴ and Eric Tousset ⁵

Affiliations: ¹ University of Limerick, Ireland , ² INESCP, Portugal , ³ VU University, Netherlands , ⁴ PLUX, Portugal , ⁵ AARDEX, Belgium

Digital Object Identifier: 10.5220/0003891700470058

Proceedings of MindCare 2012/BIOSTEC, ISBN: 978-989-8425-92-8

Quick Abstract

This paper presents a mobile treatment system developed as part of the FP7 ICT4Depression project. The project targets the efficient treatment of minor and major depression. To this end, treatments that have traditionally been administered via relatively simple web-based interfaces, have been translated for use on a smart phone. The delivery of the treatments is supported by an evidence-based approach to patient progression and treatment adherence monitoring. The mobile system consists of a graphical user interface, biomedical sensors to measure the patient’s affective state, a medication adherence system, an activity monitor and a server based reasoning system to combine the various sensor data streams and obtain abstracted information relating to patient status and progression, thereby allowing for appropriate feedback and advice for both patient and medical staff.

BEAM ANGLE OPTIMIZATION IN IMRT USING PATTERN SEARCH METHODS: INITIAL MESH-SIZE CONSIDERATIONS

Topic: OR in Health

Authors: Humberto Rocha ¹ , Joana Matos Dias ² , Brígida Ferreira ³ and Maria do Carmo Lopes ³

Affiliations: ¹ INESCC, Portugal , ² INESCC and FEUC, Portugal , ³ IPOC-FG, EPE and Universidade de Aveiro, Portugal

Digital Object Identifier: 10.5220/0003716803550360

Proceedings of ICORES 2012, ISBN: 978-989-8425-97-3

Quick Abstract

In radiotherapy treatments, the selection of appropriate radiation incidence directions is decisive for the quality of the treatment, both for appropriate tumor coverage and for enhance better organs sparing. However, the beam angle optimization (BAO) problem is still an open problem and, in clinical practice, beam directions continue to be manually selected by the treatment planner in a time-consuming trial and error iterative process. The goal of BAO is to improve the quality of the radiation incidence directions used and, at the same time, release the treatment planner for other tasks. The objective of this paper is to discuss the benefits of using pattern search methods in the optimization of the BAO problem. Pattern search methods are derivative-free optimization methods that require few function value evaluations to progress and converge and have the ability to avoid local entrapment. These two characteristics gathered together make pattern search methods suited to address the BAO problem. Considerations about the initial mesh-size importance and other strategies for a better coverage and exploration of the BAO problem search space will be debated.

Related Ontology Subjects/Areas/Topics (5)

Applications		OR in Health		Software Engineering
Operational Research		Pattern Recognition

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