Kyle is a Fellow with the National Library of Medicine, currently working on his Ph.D. in the Bioinformatics track of the Department of Medical Informatics and Clinical Epidemiology. His research interests center around machine learning, text-mining, Neuroinformatics, and mathematical models of behavior.
- Ambert KH, Cohen AM. “k-Information Gain Scaled Nearest Neighbors: A Novel Approach to Classifying Protein-Protein Interactions in Free-Text.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, In press.
- Ambert KH, Cohen AM. “A System for Classifying Disease Co-morbidity Status from Medical Discharge Summaries Using Automated Hotspot and Negated Concept Detection.” J Am Med Inform Assoc, 2009.
- Cohen AM, Ambert KH, McDonagh MS. “Cross-topic Learning for Work Prioritization in Systematic Review Creation and Update.” J Am Med Inform Assoc, 2009.
- Ambert KH, Cohen AM. “Error-Correcting Output Codes with Automatic Hot-Spot Filtering for Identifying Disease Comborbidity Status.” In: i2b2 2008 NLP Obesity Chal lenge Task; 2008; Washington, D.C.