Abstract: The present invention provides a method for predicting occurrence of a chronic diseases in a patient at an early stage using a trained Deep Neural Network (DNN) using the patient's routine or preventive pathological test result data. The invention collects the past routine/preventive laboratory test results diagnosed with the chronic disease and trained a DNN using the labelled data. The embodiment of present invention that warning or predicting of a chronic disease in a patient comprising the steps of Collecting the patient's historical routine/preventive pathological test result data who are suffering from a chronic diseases; Pre-processing of collected data; training a Deep Neural Network (DNN) with the preprocessed data and feed a new patient similar set of routine/preventive pathological test result data to provide an estimate of the early detection of a chronic diseases.