Abstract
Due to the excellent performance of ML models when using complicated big data, the rise of machine learning (ML) applications has significantly accelerated the deployment of personalised medicine techniques for better health care over the past ten years. Precision medicine applications in clinical research and practise show significant promise when new ML approaches are used to the clinical investigation of chronic inflammatory illnesses. In this study, we emphasise the clinical uses of different ML approaches for prognosis, diagnosis, and prediction. Big data and ML algorithms can be used to identify the precise medicine for each individual based on their clinical, laboratory, nutrition and lifestyle-related data.The main objective of this invention is about creating an application that suggest the precision medicine to the patients. This application will really helpful is finding a best medicine to the patients based on their body condition and their genomics. This application will reduce the risk of trial and error by finding the best medicine for every individual.
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