• PROF. S. S. PONDE
• Ms. Swati V. Padghan

Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications, in the major areas of early detection and diagnosis, as well as outcome prediction and prognosis evaluation.

Ai, Machine learning, Health care

"SMART HEALTH PREDICTION FOR AVOIDING FUTURE HEALTH RISK BY USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.370-373, June 2019, Available :http://www.jetir.org/papers/JETIR1908358.pdf

"SMART HEALTH PREDICTION FOR AVOIDING FUTURE HEALTH RISK BY USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp370-373, June 2019, Available at : http://www.jetir.org/papers/JETIR1908358.pdf