Solutions
Researchers from various medical and biological fields are using large and diverse datasets to conduct analysis and make new discoveries. They are also working on normalizing messy data and annotating features within the datasets.
Research citations and drug-target relationships in pharmacological literature can be classified and determined through various methods.
Research citations and drug-target relationships in pharmacological literature can be classified and determined through various methods.
Analyze past interventions and claim payouts to inform and rationalize current interventions. Review past prescribing behavior of healthcare providers to contextualize current interventions.
When patients discuss a medication in a public forum, they often share symptoms and sentiments related to their experiences with the medication. This can include both positive and negative experiences, as well as potential medical misinformation.
ClassificationEntity annotationEntity linkingSentiment annotationSemantic annotationXANA accelerates AI development with speedy access to millions of diverse data points. Rooted in quality, it ensures consistent performance, advanced insights, and top-notch privacy across various industries and data types.
Stop annotating data slowly with in-house teams or outsourcing to teams whose quality you can't control.
Access the Centaur Labs network of thousands of medical doctors, professionals, researchers and students for skilled annotation
You define quality. We rigorously measure and manage it.
Incentivize labeler performance with small batch, mobile-first competitions. Labelers are only paid for performance and give 100% of their effort on every case
Proactively understand the nuances of your dataset, so your data works with you, not against you.
Leverage case-level insights to inform model development e.g. precision-recall curves, label distribution, labeler agreement
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