Machine Learning in Healthcare: Lab Test Harmonization
As public health increasingly moves toward automated capture, lab data are becoming an invaluable asset for public health agencies. However, a major challenge emerges when the code sets for lab test names appear differently from one information system to another, and the raw data inputs from different labs are of poor quality. Building on top of the issue, we bring up our core question:
Cross-Media Retrieval Based on Big Data Technology
Cocktail party problem has attracted more attentions in recent years in the speech community. Specifically, the single-channel multi-talker speech separation and recognition has become a research hotspot. Moreover, the visual based information has been adopted to improve the performance of speech separation and speech recognition.
Data Science and Natural Language Processing for Language Game
The research project conducted at the University of California, Santa Barbara, under the realm of Data Science and Natural Language Processing (NLP), aimed to enhance the understanding and processing of linguistic patterns and resonance, particularly in the context of language games.