Please provide your email address to receive an email when new articles are posted on . Older age, male sex and Black or Asian race were associated with a higher likelihood of gastric cancer.
Transforming EHR data into image matrices enhances deep learning models' accuracy in predicting 5-year survival in colorectal cancer. The VGG16 model achieved up to 78% accuracy and high specificity, ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
Mental health conditions such as bipolar disorder or depression can be difficult to definitively diagnose, but algorithms based on EHR data of confirmed diagnoses can predict individuals with 79 to 85 ...
Researchers developed a model using EHR data to predict MM risk, addressing late diagnosis issues due to lack of early symptoms and screening markers. The study analyzed data from Clalit Health ...
CHICAGO--(BUSINESS WIRE)--Veradigm (NASDAQ: MDRX) announced today that Veradigm Network EHR Data is now available within the OMOP CDM format. Veradigm Network EHR is a complete statistically ...
UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of ...
The Food and Drug Administration (FDA) recently requested $100 million in its FY 2019 budget “to advance the use of real-world experience to inform patient care and provide efficient and potentially ...
It's the gold standard for analytics today, says Dr. Ryan Bosch of Acentra Health and a health system veteran – a proven model of care and data that can drive technical, clinical and business success.
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