• V Durga Devi

Artificial intelligence and expert systems plays a key role in modern medicine sciences for disease prediction, surveillance interventions, cost efficiency and better quality of life etc. With the arrival of new web-based data sources and systematic data collection through surveys and medical reporting, there is a need of the hour to develop effective recommendation systems which can support practitioners for better decision-making process. Machine Learning Algorithms (MLA) is a powerful tool which enables computers to learn from data. While many novel developed MLA constantly evolves, there is need to develop more systematic, robust algorithm which can interpret with highest possible accuracy, sensitivity and specificity. This study reviews previously published series on different algorithms their advantages and limitations which shall help make future recommendations for researchers and experts seeking to develop an effective algorithm for predicting the likelihood of various diseases.

Artificial Intelligence, Expert Systems, Machine Learning Algorithms, Disease prediction, Future Recommendations.

"ROLE OF MACHINE LEARNING ALGORITHM FOR BIG DATA PROCESSING IN HEALTHCARE SECTOR - A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.284-288, June 2019, Available :http://www.jetir.org/papers/JETIR1907U70.pdf

"ROLE OF MACHINE LEARNING ALGORITHM FOR BIG DATA PROCESSING IN HEALTHCARE SECTOR - A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp284-288, June 2019, Available at : http://www.jetir.org/papers/JETIR1907U70.pdf