Prediction and Classification of Semi-structured Medical Data Using Artificial Neural Fuzzy Inference System
Soft computing and machine learning techniques have been used in the medical domain for prediction and classification of diseases. In this paper, a programmed determination system based on artificial neural network (ANN) and adaptive network based on fuzz
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Abstract Soft computing and machine learning techniques have been used in the medical domain for prediction and classification of diseases. In this paper, a programmed determination system based on artificial neural network (ANN) and adaptive network based on fuzzy inference system (ANFIS) for male richness is presented. The model consolidated the adaptive capacities of neural network and subjective methodology of fuzzy rationale. A few conclusions concerning the saliency of highlights on classification of the ripeness dataset were gotten through examination of the ANFIS. The presentation of the ANFIS model was assessed as far as preparing execution and classification exactness’s and the outcomes confirmed that the proposed ANFIS model has potential in grouping the fruitfulness information. The right conclusion execution of the ANFIS-based programmed finding system for clinical prediction is assessed by utilizing classification exactness, affectability and explicitness examination, individually. The classification precision of this ANFISbased programmed finding system for the analysis of male richness was gotten in about 93.16%. Keywords Fertility data · Adaptive network based on fuzzy inference system (ANFIS) · Data analytics
1 Introduction The fertility rates have a striking decrease in last two decades [1–3]. It has been seen that this decrease is because of changes in conduct identified with financial perspectives, fuse of ladies in the process of childbirth and the following deferral in the age at which an individual chooses to have posterity, and the inescapable utilization P. S. Duggal (B) · I. Mukherjee Department of CSE, Birla Institute of Technology, Mesra, Ranchi, India e-mail: [email protected] I. Mukherjee e-mail: [email protected] © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 V. Nath and J. K. Mandal (eds.), Nanoelectronics, Circuits and Communication Systems, Lecture Notes in Electrical Engineering 692, https://doi.org/10.1007/978-981-15-7486-3_67
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of contraceptives [4, 5]. Despite the fact that obviously the social viewpoints have been contributing essentially to worldwide decrease in ripeness rate with the decay of regenerative well-being brought about by unfriendly natural factors [6]. In the previous decades, Authors in [7] played out a meta-examination on the chance of decrease in fundamental quality. Few examinations show a reduction in semen boundaries of men [8, 9]. Computerized reasoning has become a significant instrument in medical data analytics. A significant number of these applications have progressed to the appearance of expert systems and decision support systems in a few unique regions. To distinguish the hypertension patients and locate the vital boundaries for the expectation whether an individual is influenced or not, authors in [10] have proposed another model dependent on the affiliation rule and neural system to analyze the bosom malignancy sicknesses. To a
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