Intelligent Approaches for Disease Diagnosis, Prevention, and Treatment

Abstract

AbstractThe period of iterative insight approach is changing. With assistance of machine learning, deep learning, computer vision, one can recognize infections at premature phase and help individuals locate the early treatment which may set aside much effort for customary strategies. This chapter focuses on the methods toward early recognition, anticipation, and therapies of genuine illnesses like bosom malignancy, Parkinson’s, and diabetes. The assessment of malignancy by exploring histopathological pictures personates a genuine part in the patient's turn of events, and deep learning strategies are utilized to get a bunch of boundaries from pictures used to construct convolutional networks. The models from the pretrained networks are utilized for the multi-class classification by utilizing transfer learning methods. All outcomes are utilized to feature that transfer learning gives the best assessment of breast cancer pictures. Parkinson's sickness can require around 5–6 years for location however using deep learning in medical imaging which can early recognize the ailment and start the treatment.KeywordsMachine learningArtificial intelligenceHealth carePredictive analyticsParkinson’s diseaseBreast cancer