Analyzing diabetes datasets using data ... [9] Data-mining technologies for diabetes: A systematic ... [10] Systematic review of data mining applications in patient-centered mobile-based information ... [11] Privacy preserving distributed association rule mining approach on vertically partitioned healthcare ... [12] Prediction of benign and malignant breast cancer using data mining ... [13] Application of data mining: Diabetes health care in young and ... [14] Breast cancer diagnosis via data mining: performance analysis of seven different ... [15] Data mining techniques and applications -a decade review from 2000 to ... [16] Data mining and medical world: Breast cancers' diagnosis, treatment, prognosis and ... [17] Data mining application for exploring the relationship between addiction and ... [18] Data mining algorithms and techniques in mental health: A systematic ... [19] Applying data mining techniques in ... [20] Particle swarm optimization: A survey of historical and recent developments with hybridization ... [21] A comprehensive survey on particle swarm optimization algorithm and its ... [22] Particle swarm ... [23] Compressed kNN: K-nearest neighbors with data ... [24] Application of the weighted k-nearest neighbor algorithm for short-term load ... [25] Fuzzy k-nearest neighbor method to classify data in a closed ... [26] Hybrid intelligent system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and neural networks combined with a fuzzy ... [27] Health literacy status and understanding of the prescription instructions in diabetic ... [28] A new adaptive testing algorithm for shortening health literacy ... Aims Health literacy (HL) is the main factor shows health literate level of people in a certain society. Discovering and understanding affective factors on HL level could lead experts to improve these factors in the target community. This study aimed to Health Literacy classification of population and find a major component with data mining approaches. Instruments and Methods In this paper, we have acquired more details about major factors on the health literacy level of target society by assessing evolutionary methods. We benefit of Particle Swarm Optimization (PSO) and KNN and fuzzy KNN algorithm for classification and use wrapper technique for feature selection by our model. Feature selection are done as weighted features and selects the most effective features of health literacy. Our proposed model evaluates a data set of Health Literacy by two classifiers with/without fuzzy logic. Applied data set is a real data gathered from a descriptive-analytic cross-sectional study on adult population include 2133 record with 74 attributes in 2016 at South Khorasan province.

1] Harnessing social media for health information management [2] Social media for health promotion in diabetes: study protocol for a participatory public health intervention design [3] Number of social media users worldwide from 2010 to 2021 (in billions) [4] The current state of social media research for eParticipation in developing countries: A literature review [5] Social media and applications to health behavior [6] Effect of an Educational Program Based on the Health Belief Model to Reduce Cell Phone Usage During Driving in Taxi drivers

Prevalence of Chronic Pain and Its Association with Depression ‎in Adult Patients Referring to Health Centers in Yazd