Machine Learning & Natural Language Processing Group
- Machine Learning for computation of Clinical Risk from live health data feeds
- Spark and Hadoop tooling for high speed machine learning
- Natural Language processing to extract clinical information
- Similarity based algorithms for Identification of similar patients
Projects:
Principal Investigator
Kavishwar Wagholikar. MD, PhD
Kavi is Assistant in Laboratory of Computer Science at MGH and Instructor in Medicine at Harvard Medical School. His research is focused on machine learning and Natural Language processing for biomedical applications.
