PCN518 ONCOLOGY REAL WORLD DATA (RWD): ENABLING LEARNING HEALTH SYSTEMS

'Rapid Learning health care in oncology' - an approach towards decision support systems enabling customised radiotherapy'.

PURPOSE An overview of the Rapid Learning methodology, its results, and the potential impact on radiotherapy. MATERIAL AND RESULTS Rapid Learning methodology is divided into four phases. In the data phase, diverse data are collected about past patients, treatments used, and outcomes. Innovative information technologies that support semantic interoperability enable distributed learning and dat...

Machine Learning with real-world data

There are a huge number of ML methods, with new variants being invented every day. But the ways that one works with these various methods are very similar. Hence we are teaching this course to give students an introduction to the methodological and experimental issues involved in working with ML. To a large extent, the principles of good experimental practice are the same whether one is using a...

Learning from Data Some Real World Considerations

Enabling Real Time Data Analysis

Network-based services are becoming a ubiquitous part of our lives, to the point where individuals and businesses have often come to critically rely on them. Building and maintaining such reliable, high performance network and service infrastructures requires the ability to rapidly investigate and resolve complex service and performance impacting issues. To achieve this, it is important to coll...

Real World Reinforcement Learning

Self-sustenance in an unknown environment for an autonomous mobile robot with restricted sensory faculties is a challenging problem, primarily due to lack of effectiveness of existing techniques (deterministic or learning-based) in real world. Through this thesis, we try to investigate the utility of some of the existing reinforcement learning based techniques in achieving energy self-sufficien...