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A systematic review conducted by researchers from the School of Computer Science and Engineering at Vellore Institute of Technology in Chennai, India, explores the use of machine learning and deep learning prediction models for sepsis and neonatal sepsis. Sepsis and neonatal sepsis are significant challenges in global healthcare, as they can lead to life-threatening organ dysfunction. Early identification of sepsis is difficult, but the implementation of machine learning and deep learning technologies shows promise in predicting sepsis at an early stage and reducing mortality rates. The review analyzes various studies and concludes that prediction models can support researchers and clinicians in making better decisions and administering antibiotics earlier. [Extracted from the article]