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"Machine learning for clinical trial data to uncover anomalies"
"Machine learning for clinical trial data to identify anomalies"
Anomalies indicate aberration in a data pattern. In different domains it can indicate different issues. For example, faults in factory production, odd trends in stock exchange, credit card frauds and irregularities in a clinical trial. My current work focusses on the last example i.e. the clinical trials. I head the team to develop machine learning algorithms and models to address the challenge of identifying anomaly signals in clinical trial data at my current position with
CluePoints SA (Belgium)
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© Paurush Praveen (2017)