Open AccessIdentifying Diseases and Diagnosis using Machine Learning
Author(s) -
Iswanto Iswanto,
E. Laxmi Lydia,
K. Shankar,
Phong Thanh Nguyen,
Wahidah Hashim,
Andino Maseleno
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1297.0886s219
Subject(s) - machine learning , computer science , artificial intelligence , curse of dimensionality , dimensionality reduction , computational learning theory , set (abstract data type) , online machine learning , semi supervised learning , active learning (machine learning) , programming language
The method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. By using the statistics theory it creates the mathematical model, and its major work is to surmise from the examples gave. To take the data straightforwardly from the information the approach uses computational methods. For recognize and identify the disease correctly a pattern is very necessary in Diagnosis recognition of disease. for creating the different models machine learning is used, this model can use for prediction of output and this output is depend on the input that is related to the data which previously used. For curing any disease it is very important to identify and detect that disease. For classify the disease classification algorithms are used. It uses are many dimensionality reduction algorithms and classification algorithms. Without externally modified the computer can learn with the help of the machine learning. For taking the best fit from the observation set the hypothesis is selected. Multi-dimensional and high dimensional are used in machine learning. By using machine learning automatic and classy algorithms can build.