TY - GEN
T1 - Potential risk factor analysis and risk prediction system for stroke using fuzzy logic
AU - Islam, F.
AU - Shoilee, S.B.A.
AU - Shams, M.
AU - Rahman, R.M.
PY - 2017
Y1 - 2017
N2 - © Springer International Publishing AG 2017.Stroke is a life-threatening, deadly cause, which occurs due to the interruption of blood flow to any part of brain. As stroke is a globally alarming deadly cause, using computational expertise to aid this problem, is high on demand. In this paper, our proposed system focuses on the potential risk factor for system design. Using computational technique, we prune unnecessary risk factors which are less likely to cause stroke on patient dataset collected from a medical college in Bangladesh. Fuzzy C-means classifier and Fuzzy Inference System are used to classify input data. Later on, to generate fuzzy rule we use Adaptive Neuro-fuzzy Inference System so that it can give better prediction. The developed system provides higher accuracy which satisfies the physicians’ demand. Therefore, the developed system will aid not only general people but also medical experts.
AB - © Springer International Publishing AG 2017.Stroke is a life-threatening, deadly cause, which occurs due to the interruption of blood flow to any part of brain. As stroke is a globally alarming deadly cause, using computational expertise to aid this problem, is high on demand. In this paper, our proposed system focuses on the potential risk factor for system design. Using computational technique, we prune unnecessary risk factors which are less likely to cause stroke on patient dataset collected from a medical college in Bangladesh. Fuzzy C-means classifier and Fuzzy Inference System are used to classify input data. Later on, to generate fuzzy rule we use Adaptive Neuro-fuzzy Inference System so that it can give better prediction. The developed system provides higher accuracy which satisfies the physicians’ demand. Therefore, the developed system will aid not only general people but also medical experts.
U2 - 10.1007/978-3-319-57261-1_26
DO - 10.1007/978-3-319-57261-1_26
M3 - Conference contribution
SN - 9783319572604
T3 - Advances in Intelligent Systems and Computing
SP - 262
EP - 272
BT - Artificial Intelligence Trends in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017
A2 - Silhavy, R.
A2 - Senkerik, R.
A2 - Kominkova Oplatkova, Z.
A2 - Prokopova, Z.
A2 - Silhavy, S.
PB - Springer Verlag
T2 - 6th Computer Science On-line Conference, CSOC 2017
Y2 - 26 April 2017 through 29 April 2017
ER -