Kaiser Permanente is one of the USA’s largest health plans, serving 12.3 million members via 39 hospitals and over 217,000 employees. This case study shows how the company leveraged John Snow...
Many critical facts required by healthcare AI applications like patient risk prediction, cohort selection, and clinical decision support are locked in unstructured free-text data. Recent advances in deep learning have raised...
An AI-based solution that delivers a future-proof model using transfer learning which can be used to convert source-agnostic unstructured data into structured data. It supports the classification of artifacts and...
Providence St. Joseph Health’s (PSJH) unstructured data de-identification methodology relies on pre-trained BiLSTM-CNN-Char NER models provided by John Snow Labs. The PSJH Data science department evaluated John Snow Labs models...
A modern health care system generates a wide range of clinical data formats including structured, unstructured, image, and high-frequency waveform data. The volume of data is also growing quickly, enabling...
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