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Application of Machine Learning Algorithms For Accurate Determination of Bilirubin Level On in Vitro Engineered Tissue Phantom Images by ssinghsuryansh180 is a document available to read on EtoBox.
This study explores the use of machine learning algorithms to accurately determine bilirubin levels in neonates using smartphone-acquired images. It highlights the limitations of current screening methods and presents a systematic evaluation of biological and environmental factors affecting bilirubin measurement. The findings indicate strong potential for machine learning models to aid in clinical studies, achieving an accuracy of 0.848 in classification and 0.812 in regression for bilirubin determination.
- Author
- ssinghsuryansh180
- Language
- EN