Neural Networks

Neural Networks are computational models inspired by the structure and functioning of the human brain. They consist of interconnected units called neurons that process information through weighted connections and activation functions. Neural networks are a core component of artificial intelligence and machine learning, particularly in deep learning. They are used to identify patterns, make predictions, and solve complex problems by learning from large datasets. Neural networks are widely applied in fields such as healthcare, image and speech recognition, natural language processing, finance, and public health analytics. In health research, they support disease prediction, medical image analysis, outbreak forecasting, and decision support systems. Neural networks improve performance through training, where errors are minimized using algorithms like backpropagation. As data availability and computing power increase, neural networks continue to drive innovation and advanced problem-solving across multiple disciplines.