• Poonam V. Jagtap
• Pratidnya B. Shikhare
• Pratiksha D. Shelar
• Anubhav D. Bhat
• Ashish K. Bhise

Nowadays people face different diseases because of the state of the climate and their living habits. While earlier prediction of disease becomes an essential task. But it becomes too difficult for the doctor to determine precisely based on symptoms. Data mining plays an important part in predicting the disease in overcoming this. Medical science has a substantial increase in data per annum. We proposed general prediction of the disease based on the patient ’s symptoms. For the prediction of disease, we use machine learning algorithm CNN for accurate prediction of disease. Dataset of disease symptoms needed for prediction of disease. It is difficult to handle the huge amount of data of the patients. It is easier to handle this data through Big Data Analytics. Peoples are being affected by pollution and irregular food habits in daily life. This leads to the cause of many kinds of diseases to human. Machine learning, which is an important technique of artificial intelligence, has the ability to learn also predict the diseases automatically. The aim of deep learning in healthcare is its capability to extract the features from big number of datasets. Globally, there is a substantial unmet require to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges in developing the early diagnosis tool also effective treatment. Machine learning (ML), an area of artificial Intelligence (AI), enables researchers, physicians, and patients to solve some of these type of issues. Based on different types of research, this review explains how machine learning (ML) is being used to help in the earlier stage identification of numerous diseases. Based on relevant research, this review explains how machine learning (ML) is being used to help in the early identification of numerous diseases of humans.

Machine Learning, Deep Learning, Disease Detection, Pattern matching, image processing, CNN, Internet of Things (IoT), Big data (BD) tools, Disease prediction, symptoms.

"Implementation Of Healthcure Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.b726-b732, March-2023, Available :http://www.jetir.org/papers/JETIR2303195.pdf

"Implementation Of Healthcure Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppb726-b732, March-2023, Available at : http://www.jetir.org/papers/JETIR2303195.pdf