• Mitanshi Rustagi
• Dr. Neha Goel

Machine Learning is a science that was developed in the area of artificial intelligence. Machine Learning and its algorithms are used for various purposes like pattern recognition, image processing, predictive analysis, deep learning, etc. Machine Learning works on the principle of determining the most appropriate model for the data. The research work highlights the work done by other authors in similar fields. A conclusive study of the work done has been discussed. The contribution of machine learning techniques in different sectors like computer vision, healthcare, construction, etc along with their purpose and applications is presented. The idea behind this study is to spread awareness about machine learning algorithms and their application areas. Healthcare sector is an important and crucial industry as it offers help to several people. It also contributes to the local economy. Various technologies like ML, and DL are contributing a lot to revolutionizing the healthcare sector. The benefits offered by these technologies are endless. Healthcare sector deserves special attention as it is related to the lives of humans. Any type of delay can be hazardous. It has been seen that machine learning and deep learning techniques prove to be very advantageous in predicting and diagnosing the disease at an early stage. The objective of this research paper is to analyze the growth and importance of data science in healthcare. This paper explores the work done in the healthcare sector with the help of machine learning and deep learning techniques like SVM, Naïve Bayes, ANN, KNN, Decision Tree, CNN, and many more.

Machine Learning, Decision Tree, Regression, Naïve Bayes, Support Vector Machine.

"Significance of machine learning in medical field", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.l225-l234, May 2022, Available :http://www.jetir.org/papers/JETIR2205C35.pdf

"Significance of machine learning in medical field", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppl225-l234, May 2022, Available at : http://www.jetir.org/papers/JETIR2205C35.pdf