MaLMIC - Machine Learning in Medical Imaging Consortium
MaLMIC is pleased to support three sessions at the ImNO 2024 symposium in Toronto ON in March 2024.
The October forum will focus on using machine learning to predict disease progression. Our first speaker will be Xia Jiang who will give an overview of the application of machine learning to electronic health record data for the prognostication of clinical outcomes. Our second speaker, Su-In Lee, will describe the use of text and phenotypic data in medical records for predicting patients’ clinical course, and potential uses for medical management. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data. The October forum will focus on using machine learning to predict disease progression. Our first speaker will be Xia Jiang who will give an overview of the application of machine learning to electronic health record data for the prognostication of clinical outcomes. Our second speaker, Su-In Lee, will describe the use of text and phenotypic data in medical records for predicting patients’ clinical course, and potential uses for medical management. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.