Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

• मुख्य लेखकों: Rongali, Subendhu (लेखक), Rose, Adam J (लेखक), McManus, David D (लेखक), Bajracharya, Adarsha S (लेखक), Kapoor, Alok (लेखक), Granillo, Edgard (लेखक), Yu, Hong (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: JMIR Publications, 2020-03-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

BackgroundScalable and accurate health outcome prediction using electronic health record (EHR) data has gained much attention in research recently. Previous machine learning models mostly ignore relations between different types of clinical data (ie, laboratory components, International Classificati...