Journal ArticleDOI
Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis
Reads0
Chats0
TLDR
Geospatial data analytical model is developed in this paper to model the spatial suitability of malaria outbreak in Vellore, Tamil Nadu, India and the proposed approach is used to identity an effective control strategy that prevents and control of malaria.Abstract:
Geospatial data analytical model is developed in this paper to model the spatial suitability of malaria outbreak in Vellore, Tamil Nadu, India In general, Disease control strategies are only the spatial information like landscape, weather and climate, but also spatially explicit information like socioeconomic variable, population density, behavior and natural habits of the people The spatial multi-criteria decision analysis approach combines the multi-criteria decision analysis and geographic information system (GIS) to model the spatially explicit and implicit information and to make a practical decision under different scenarios and different environment Malaria is one of the emerging diseases worldwide; the cause of malaria is weather & climate condition of the study area The climate condition is often called as spatially implicit information, traditional decision-making models do not use the spatially implicit information it most often uses spatially explicit information such as socio-economic, natural habits of the people There is need to develop an integrated approach that consists of spatially implicit and explicit information The proposed approach is used to identity an effective control strategy that prevents and control of malaria Inverse Distance Weighting (IDW) is a type of deterministic method used in this paper to assign the weight values based on the neighborhood locations ArcGIS software is used to develop the geospatial habitat suitability modelread more
Citations
More filters
Journal ArticleDOI
A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system
Gunasekaran Manogaran,R. Varatharajan,Daphne Lopez,Priyan Malarvizhi Kumar,Revathi Sundarasekar,Chandu Thota +5 more
TL;DR: A new architecture for the implementation of IoT to store and process scalable sensor data (big data) for health care applications and uses MapReduce based prediction model to predict the heart diseases is proposed.
Journal ArticleDOI
A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases
TL;DR: A scalable three-tier architecture to store and process such huge volume of wearable sensor data in cloud computing is proposed and ROC analysis is performed to identify the most significant clinical parameters to get heart disease.
Journal ArticleDOI
Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System
TL;DR: The proposed MKL with ANFIS based deep learning method follows two-fold approach and has produced high sensitivity, high specificity and less Mean Square Error for the for the KEGG Metabolic Reaction Network dataset.
Journal ArticleDOI
Machine Learning Based Big Data Processing Framework for Cancer Diagnosis Using Hidden Markov Model and GM Clustering
Gunasekaran Manogaran,V. Vijayakumar,R. Varatharajan,Priyan Malarvizhi Kumar,Revathi Sundarasekar,Ching-Hsien Hsu +5 more
TL;DR: A Bayesian hidden Markov model (HMM) with Gaussian Mixture (GM) Clustering approach is used to model the DNA copy number change across the genome and is compared with various existing approaches such as Pruned Exact Linear Time method, binary segmentation method and segment neighborhood method.
Journal ArticleDOI
A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing
TL;DR: SVM model with a weighted kernel function method is significantly identifies the Q wave, R wave and S wave in the input ECG signal to classify the heartbeat level to prove the effectiveness of the proposed Linear Discriminant Analysis (LDA) with an enhanced kernel based Support Vector Machine (SVM) method.
References
More filters
Book
Decision-making in a fuzzy environment
Richard Bellman,Lotfi A. Zadeh +1 more
TL;DR: A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
Journal ArticleDOI
Extended VIKOR method in comparison with outranking methods
TL;DR: The VIKOR method as mentioned in this paper was developed to solve MCDM problems with conflicting and noncommensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria.
Journal ArticleDOI
An adaptive inverse-distance weighting spatial interpolation technique
George Y. Lu,David Wong +1 more
TL;DR: Adaptive IDW performs better than the constant parameter method in most cases, and better than ordinary kriging in one of the authors' empirical studies when the spatial structure in the data could not be modeled effectively by typical variogram functions.
Journal ArticleDOI
Application of the AHP in project management
TL;DR: The Analytical Hierarchy Process (AHP) as mentioned in this paper is a potential decision-making method for use in project management, which is used as an example for the contractor prequalification problem.
Journal ArticleDOI
An application of intuitionistic fuzzy sets in medical diagnosis
TL;DR: This paper studies the Sanchez's approach for medical diagnosis and extends this concept with the notion of intuitionistic fuzzy set theory (which is a generalization of fuzzySet theory).