Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare

• Main Authors: Goh, Kim Huat, Wang, Le, Yeow, Adrian Yong Kwang, Poh, Hermione, Li, Ke, Yeow, Joannas Jie Lin, Tan, Gamaliel Yu Heng
• Other Authors: Nanyang Business School
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science; Artificial Intelligence; Healthcare
• Online Access: https://hdl.handle.net/10356/146395
• Institution: Nanyang Technological University

Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artificial intelligence algorithm, SERA algorithm, which u...