Monitoring Bio-Chemical Indicators Using Machine Learning Techniques for an Effective Large for Gestational Age Prediction Model with Reduced Computational Overhead
Faheem Akhtar(Sukkur IBA University), Muhammad Azeem(University of Management and Technology), Azhar Imran(Beijing University of Technology), Jianqiang Li(Beijing University of Technology), Yu Guan(Beijing University of Technology)
Cited by 14
Related Papers
Sentiment analysis on IMDB using lexicon and neural networks
|SN Applied Sciences|2020|101
An efficient and improved scheme for handwritten digit recognition based on convolutional neural network
|SN Applied Sciences|2019|98
SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network
|Cancers|2023|59
Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators
|The Journal of Supercomputing|2019|42