Public defence in Computer Science, M.Phil Shaoxiong Ji

Natural Language Processing for Healthcare
Doctoral theses hanging on the wall

Title of the doctoral thesis: Natural Language Processing for Healthcare: Text Representation, Multitask Learning, and Applications

Opponent: Professor Filip Ginter, University of Turku, Finland
Custos: Associate Professor Pekka Marttinen, Aalto University School of Science, Department of Computer Science

The thesis is publicly displayed 10 days before the defence in the publication archive Aaltodoc of Aalto University.

Electronic thesis

Public defence announcement:

This thesis studied deep learning models in natural language processing for healthcare applications. This study aims to investigate the application of deep learning and language technology for the development of intelligent medical information systems. This thesis is relevant to natural language processing applications and health informatics. This thesis explored effective text encoding for clinical text, proposed new deep learning models, and improved the predictive performance of several healthcare tasks. After rigorous human evaluation, the proposed models can be applied to medical information systems. The results in this thesis validated the applicability of deep learning-based natural language processing to healthcare tasks on public benchmarks and answered serval important research questions.

Contact details of the doctoral student: [email protected], 0504344563‬

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