Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach.
Ciora OA, Seegmüller T, Fischer JS, Wirth T, Häfner F, Stoecklein S, Flemmer AW, Förster K, Kindt A, Bassler D, Poets CF, Ahmidi N, Hilgendorff A.
Ciora OA, et al.
BMC Pediatr. 2024 Apr 11;24(1):249. doi: 10.1186/s12887-024-04702-5.
BMC Pediatr. 2024.
PMID: 38605404
Free PMC article.
Lastly, we identified patient clusters that share similar morbidity patterns using machine learning in AIRR (n=6 clusters) and NEuroSIS (n=8 clusters). CONCLUSIONS: By capturing correlations as well as more complex morbidity relations, we provided a comprehensive ch …
Lastly, we identified patient clusters that share similar morbidity patterns using machine learning in AIRR (n=6 clusters) and NEuroS …