• Rahul Sadashiv Kumbhar
• Kishor T Mane

In the modern technological surrounding of this era many people are highly prone to different diseases. These diseases are progressive in nature and need timely assistance and detection to track the growth and spread of the diseases. One such kind of disease is diabetic and heart conditions. Diabetes and cardiac disease are impactful on other parts of the body and need to be traced on priority basis. To detect such kinds of diseases in early stages is important to cure it and survive it as well. To solve the problem, help from technology can be taken. This includes neural network techniques, IOT based systems and devices, Smart devices that gather and feed data to neural networks. This kind of technology helps the doctors by tracing the medical condition of patient or person based on the obtained statistics of the vital parameters gathered by smart systems and devices.In this process large amount of data as well as cost is involved. In this paper review of such different techniques will be carried out. It mainly focuses on different approaches that are used for detection of diabetic and cardiac diseases. Different approaches like fog computing, blockchain implementation, Neural networks, Fuzzy based approaches. Fog computing gives an efficient manner based results for detection and storage of the records related to patients.

Fuzzy logic, Artificial Neural Network, Convolutional Neural Network, Fog Computing, Cardio-diabetic Diseases.

"Review of Different Techniques used for Cardio-Diabetic Disease Prediction.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l645-l649, May-2023, Available :http://www.jetir.org/papers/JETIR2305B88.pdf

"Review of Different Techniques used for Cardio-Diabetic Disease Prediction.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl645-l649, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B88.pdf