Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study

• Main Authors: Younga Kim (Author), Hyeongsub Kim (Author), Jaewoo Choi (Author), Kyungjae Cho (Author), Dongjoon Yoo (Author), Yeha Lee (Author), Su Jeong Park (Author), Mun Hui Jeong (Author), Seong Hee Jeong (Author), Kyung Hee Park (Author), Shin-Yun Byun (Author), Taehwa Kim (Author), Sung-Ho Ahn (Author), Woo Hyun Cho (Author), Narae Lee (Author)
• Format: Book
• Published: BMC, 2023-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Respiratory support is crucial for newborns with underdeveloped lung. The clinical outcomes of patients depend on the clinician's ability to recognize the status underlying the presented symptoms and signs. With the increasing number of high-risk infants, artificial intellig...