A Deep Learning Model to Predict Sepsis Early
The increased adoption of EHRs in hospitals has led to the development of machine learning-based surveillance tools to detect and predict sepsis. “There’s great interest from healthcare professionals and administrators to use artificial intelligence (AI) to improve patient-centered outcomes and reduce costs,
The increased adoption of EHRs in hospitals has led to the development of machine learning-based surveillance tools to detect and predict sepsis. “There’s great interest from healthcare professionals and administrators to use artificial intelligence (AI) to improve patient-centered outcomes and reduce costs,
costs, AI, administrators, sepsis, development, hospitals, EHRs, patient-centered outcomes, Artificial Intelligence, healthcare professionals, great interest, increased adoption, machine learning-based surveillance tools
