Learning from medical data streams: an introduction

Learning from Medical Data Streams 2011.

医药卫生;计算机科学

Pedro Pereira Rodrigues1, Mykola Pechenizkiy2, Mohamed Medhat Gaber3, and Jo~ao Gama1

Others  :  http://ceur-ws.org/Vol-765/paper1.pdf
PID  :  41151

来源: CEUR

【 摘 要 】

Clinical practice and research are facing a new challenge cre-ated by the rapid growth of health information science and technology, and the complexity and volume of biomedical data. Machine learning from medical data streams is a recent area of research that aims to provide better knowledge extraction and evidence-based clinical deci- sion support in scenarios where data are produced as a continuous ow. This year's edition of AIME, the Conference on Articial Intelligence in Medicine, enabled the sound discussion of this area of research, mainly by the inclusion of a dedicated workshop. This paper is an introduction to LEMEDS, the Learning from Medical Data Streams workshop, which highlights the contributed papers, the invited talk and expert panel dis-