Machine Learning-based Deep Analysis of Human Blood using NIR Spectrophotometry Signatures.
Yogesh KumarAyush DograVarun DhimanVishavpreet SinghAjeet Kumar KaushikSanjeev KumarPublished in: Current medical imaging (2024)
The precision of ±1 g/dL in 5-fold cross-validation ensures the same performance irrespective of different age groups, gender, BMI, smoking level, drinking level, and skin type. The outcomes with the offered NIR sensing system and an exclusive ML algorithm can accelerate its' requirement at remote locative rural areas and critical care units where continuous Hb monitoring is compulsory.
Keyphrases
- machine learning
- photodynamic therapy
- endothelial cells
- drug release
- fluorescence imaging
- fluorescent probe
- deep learning
- body mass index
- artificial intelligence
- induced pluripotent stem cells
- smoking cessation
- big data
- type diabetes
- genome wide
- soft tissue
- weight gain
- dna methylation
- physical activity
- glycemic control