WORLD JOURNAL OF ADVANCE
HEALTHCARE RESEARCH

Sehrish Ghouri*, Tauqir Ahmad, Ghulam Muhaudin Shahzaib, Khalid Javed, Laraib Nawaz

ABSTRACT

Diabetes is a long-lasting health problem where blood sugar levels are too high. It's a big health problem for manypeople all over the world. Spotting and fixing diabetes early is very important for stopping bad things fromhappening, and making patients healthier. Machine learning has become a useful method for early recognition ofdiabetes. It can spot people who may get the disease in future. This review gives a complete summary of recentimprovements in deep learning methods for predicting diabetes early on. We talk about the different deep learningdesigns that have been used, how we measure their success and problems with using this method in music. Wealso point out the good results that have been made using deep learning. This shows it could change how wepredict diabetes early. Apart from talking about what's already written, we are suggesting a new way to look atdeep learning for predicting diabetes early on. We say that machine learning and deep learning can be useful forsolving problems of not much data and very many details in medical information sets. We also think that deeplearning can be mixed with other machine learning methods like picking features and adding more data. Thishelps make our prediction results even better. Lastly, we talk about where deep learning is heading to predictdiabetes early on.

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