• Akshay Parate
• Sudershan Dolli
• Niraj Patil
• Kartik Chaudhari

Now a day one of the most significant subjects of society is human healthcare. It is looking for the best one and robust disease diagnosis to get the care they need as soon as possible. Other fields, such as statistics and computer science, are needed for the health aspect of searching since this recognition is often complicated. The task is challenging these disciplines, moving beyond the conventional ones. The actual number of new techniques makes it possible to provide a broad overview that avoids particular aspects. To this end, we suggest a systematic analysis of human diseases such as Alzheimer, Breast Cancer, Brain Tumor, Covid-19 & Heart Disease detection using machine learning algorithms such as CNN, XGBoost, Random Forest and one of the deep learning algorithm i.e. VGG-16 in order to make important predictions and help in decision-making.

Human Healthcare, Random Forest, Recognition, CNN, XGBOOST, Systematic Analysis, Prediction, VGG- 16

"Implementation of Random Forest, CNN, XGBOOST Algorithm of Machine Learning to Develop A System that can Detect the Human Disease Such as Alzheimer, Brain Tumor, Breast Cancer, Covid-19 & Heart Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.636-640, May-2023, Available :http://www.jetir.org/papers/JETIRFX06112.pdf

"Implementation of Random Forest, CNN, XGBOOST Algorithm of Machine Learning to Develop A System that can Detect the Human Disease Such as Alzheimer, Brain Tumor, Breast Cancer, Covid-19 & Heart Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp636-640, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06112.pdf