YData for Healthcare & Pharma
AI has been widely used in clinical situations to diagnose diseases and aid medical professionals in deciding the course of treatment. Data collection is however one of the biggest challenges faced by the Healthcare organisations - it is critical that medical data is shared across organisations, enabling them to provide patients with the best possible healthcare solutions.
Read moreOrganisations cannot share patients’ data directly due to concerns around privacy. A lot more problems could be solved if patients’ data could be shared across organisations without impacting their privacy. YData enables easy sharing of data both within internal teams and external organisations.
In critical domains such as this data often exists in silos, which insufficient to train a good model. Data augmentation is a proven method to work around this problem. YData accomplishes this without any unintended side-effects by synthesizing data without changing its inherent nature.
ML models are being used in the clinical domain often for diagnosis purposes. The dataset can turn out heavily imbalanced if the subject selection is not done properly. Using our Synthesizers, you can balance the dataset and make sure that your model is not trained on the wrong data.
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