Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators
Faheem Akhtar(Sukkur IBA University), Ji‐Jiang Yang(Tsinghua University), Hui Pan(Chinese Academy of Medical Sciences & Peking Union Medical College), Jianqiang Li(Beijing University of Technology), Qing Wang(Florida Museum of Natural History), Muhammad Azeem(University of Salford)
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