Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2016 1
2021 1
2022 0
Text availability
Article attribute
Article type
Publication date

Search Results

2 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Aid decision algorithms to estimate the risk in congenital heart surgery.
Ruiz-Fernández D, Monsalve Torra A, Soriano-Payá A, Marín-Alonso O, Triana Palencia E. Ruiz-Fernández D, et al. Comput Methods Programs Biomed. 2016 Apr;126:118-27. doi: 10.1016/j.cmpb.2015.12.021. Epub 2016 Jan 2. Comput Methods Programs Biomed. 2016. PMID: 26774238 Free article.
BACKGROUND AND OBJECTIVE: In this paper, we have tested the suitability of using different artificial intelligence-based algorithms for decision support when classifying the risk of congenital heart surgery. ...CONCLUSIONS: Accordi …
BACKGROUND AND OBJECTIVE: In this paper, we have tested the suitability of using different artificial intelligence-based algorithms f …
Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach.
Bertsimas D, Zhuo D, Dunn J, Levine J, Zuccarelli E, Smyrnakis N, Tobota Z, Maruszewski B, Fragata J, Sarris GE. Bertsimas D, et al. World J Pediatr Congenit Heart Surg. 2021 Jul;12(4):453-460. doi: 10.1177/21501351211007106. Epub 2021 Apr 28. World J Pediatr Congenit Heart Surg. 2021. PMID: 33908836
OBJECTIVE: Risk assessment tools typically used in congenital heart surgery (CHS) assume that various possible risk factors interact in a linear and additive fashion, an assumption that may not reflect reality. ...METHODS: We built machine learn …
OBJECTIVE: Risk assessment tools typically used in congenital heart surgery (CHS) assume that various possible …