ABLe

About the Project

Advice-Based Learning for Health Care

The goal of this project was to integrate physician expertise and machine learning into graphical models to accurately estimate breast cancer risk after image-guided breast biopsy, addressing the problem of biopsy sampling error.

Acronym

ABLe

Responsible

Inês Dutra

Status

Closed

Starting Date

January 1, 2013

Ending Date

January 31, 2015

Effective End Date

January 31, 2015

Global Budget

€88,560.00

Funding

€88,560.00

Website

Datasheet

Funded by

Members

Team Leaders

Inês Dutra

Associated Centres

Advanced Computing Systems

The Centre for Advanced Computing Systems (CRACS) strives for scientific excellence in the areas of programming languages, parallel and distributed computing, information mining, security and privacy, focusing on developing scalable software systems for multidisciplinary applications in Engineering, Life Sciences, Social Networks, the Internet of Things, and more. We explore deep theoretical and practical knowledge related to the design and development of programming languages and middleware for advanced computing systems - including parallel, distributed, high-performance, cloud, wireless, and IoT systems -, while mastering the concepts and methodologies that underpin trust, privacy, and security in computing systems. Our research environment brings together talented junior and senior researchers, most of whom are university lecturers. Together, they form the critical mass and scientific expertise required to fulfil our mission.