Authors :
Deeksha K, Amrutha M, Harshitha, Ashwini Gotyal, Dr.M. Kusuma
Volume/Issue :
Volume 5 - 2020, Issue 4 - April
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2YadOhj
Abstract :
Diabetes the silent killer which kills part by
part of human life. Diabetes can knock anyone at any
point of time. It is not only an infirmity but also an
establisher of different kinds of diseases. Early
prediction in such diseases plays a vital role in the
developing economy. With the rising technologies such
as deep learning within machine learning will help in
finding a remedy to this outgrowth. Machine learning
techniques increase medical diagnosis accuracy and
reduce medical costs.The classification model in the
machine learning approach helps medical specialists to
improve their forecasting, diagnosis or treatment
planning procedures. Whereas Deep learning within
machine learning requires relatively keen knowledge
about the data being used, the algorithms to be applied
and analysis being made.
Keywords :
Diabetes, Deep Learning, Accuracy, Machine learning algorithms.
Diabetes the silent killer which kills part by
part of human life. Diabetes can knock anyone at any
point of time. It is not only an infirmity but also an
establisher of different kinds of diseases. Early
prediction in such diseases plays a vital role in the
developing economy. With the rising technologies such
as deep learning within machine learning will help in
finding a remedy to this outgrowth. Machine learning
techniques increase medical diagnosis accuracy and
reduce medical costs.The classification model in the
machine learning approach helps medical specialists to
improve their forecasting, diagnosis or treatment
planning procedures. Whereas Deep learning within
machine learning requires relatively keen knowledge
about the data being used, the algorithms to be applied
and analysis being made.
Keywords :
Diabetes, Deep Learning, Accuracy, Machine learning algorithms.
