Suggestions
Share
Journal Information

Statistics

Follow this link to access the full text of the article

Original article
Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis
Ying Chena,b,, Shengpei Wangc,d,, Jing Wue, Chi Wangf, Ying Lia, Peicen Zoua,b, Ruiqi Xiaoa,b, Na Zhangg, Huiguang Hec,d, Yajuan Wanga,b,
Corresponding author
cxswyj@vip.sina.com

Corresponding author at: Capital Institute of Pediatrics, Department of Neonatology, Beijing, China.
a Capital Institute of Pediatrics, Department of Neonatology, Beijing, China
b Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
c Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
d State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, Institute of Automation, Beijing, China
e Center for Evidence-Based Medicine, Capital Center for Children's Health, Capital Medical University, Capital Institute of Pediatrics, Beijing, China
f Hemangioma and Interventional Vascular Center, Capital Center for Children's Health, Capital Medical University, Capital Institute of Pediatrics, Beijing, China
g Faculty of Pediatrics, Seventh Medical Center of PLA General Hospital, Department of Neonatology, Beijing, China
Read
788
Times
was read the article
206
Total PDF
582
Total HTML
Share statistics
Article information
ISSN: 00217557
Original language: English
The statistics are updated each day
Year/Month Html Pdf Total
2025 12 201 103 304
2025 11 381 103 484

Follow this link to access the full text of the article

Idiomas
Jornal de Pediatria (English Edition)