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Item Metadata only A machine learning for transcutaneous bilirubinometer(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Nichar Khemtongcharoen; Songpol Ongwattanakul; Chamras PromptmasMachine Learning (ML) engine, the bilirubin concentration can be accurately predicted. The proposed bilirubinometer prototype consists of four main parts: light source, fiber probe, light spectrometer, and an Artificial Neural Network (ANN...) that are specially engineered for the bilirubinometer construction. The light spectrometer and light source are controlled by a microcontroller platform called Raspberry Pi. In the data collection phase, the bilirubinometer prototype was used to measure the light