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Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings
Research article (Scientific Reports, 2024) · cited 13× · AI/ML
Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings
Summary
Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings is a scholarly article[1].
Key Facts
Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficacy-of-automated-machine-learning-models-and-feature-engineering-for-diagnosis-of-equivocal-appendicitis-using-clin
MLA“Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficacy-of-automated-machine-learning-models-and-feature-engineering-for-diagnosis-of-equivocal-appendicitis-using-clin.
BibTeX@misc{4ortxyz_efficacy-of-automated-machine-learning-models-and-feature-engineering-for-diagnosis-of-equivocal-appendicitis-using-clin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings}}, year = {2026}, url = {https://4ort.xyz/entity/efficacy-of-automated-machine-learning-models-and-feature-engineering-for-diagnosis-of-equivocal-appendicitis-using-clin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings — https://4ort.xyz/entity/efficacy-of-automated-machine-learning-models-and-feature-engineering-for-diagnosis-of-equivocal-appendicitis-using-clin (retrieved 2026-05-24)
