AN EFFICIENT ARTIFICIAL INTELLIGENCE BASED TECHNIQUE IN DISEASES STAGING AND FORECASTING

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AHMADI NEGAR; MILANI ALFREDO

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2013 | Volume:4 | Issue:3 (13) Page(s): 119-134

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Information Journal Paper

Title

AN EFFICIENT ARTIFICIAL INTELLIGENCE BASED TECHNIQUE IN DISEASES STAGING AND FORECASTING

Author(s)

AHMADI NEGAR | MILANI ALFREDO | Issue Writer Certificate

Keywords

DISEASE FORECASTING

ARTIFICIAL INTELLIGENCE

COMPUTATIONAL BIOLOGY

BREAST CANCER

MYOCARDIAL INFARCTION

FRAMINGHAM STUDY

Abstract

Artificial Intelligence (AI) techniques offer powerful objective algorithms for analysis of multimodal and high-dimensional data. Recently, these techniques have become a reliable tool in the medical domain. This paper describes an efficient technique for building an application that is capable of forecasting and classifying healthcare information using machine learning as a subfield of AI methods. The algorithm predicts a label for each sample. The sample is a single set of feature data and the label is what category the sample falls into. The algorithm takes many of these samples as the training set, builds an internal model and finally predicts the labels of other samples, called the testing set. We apply this methodology to the BREAST CANCER staging and also to forecast the MYOCARDIAL INFARCTION and examine the risk assessment using fuzzy clustering and Framingham heart study. The results show that the proposed technique obtains credible outputs that could be integrated in an application to be used in the health care field.

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APA: Copy

AHMADI, NEGAR, & MILANI, ALFREDO. (2013). AN EFFICIENT ARTIFICIAL INTELLIGENCE BASED TECHNIQUE IN DISEASES STAGING AND FORECASTING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 4(3 (13)), 119-134. SID. https://sid.ir/paper/328738/en

Vancouver: Copy

AHMADI NEGAR, MILANI ALFREDO. AN EFFICIENT ARTIFICIAL INTELLIGENCE BASED TECHNIQUE IN DISEASES STAGING AND FORECASTING. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2013;4(3 (13)):119-134. Available from: https://sid.ir/paper/328738/en

IEEE: Copy

NEGAR AHMADI, and ALFREDO MILANI, “AN EFFICIENT ARTIFICIAL INTELLIGENCE BASED TECHNIQUE IN DISEASES STAGING AND FORECASTING,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 4, no. 3 (13), pp. 119–134, 2013, [Online]. Available: https://sid.ir/paper/328738/en

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