{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T19:21:53Z","timestamp":1729624913473,"version":"3.28.0"},"reference-count":39,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/bibm.2017.8217885","type":"proceedings-article","created":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T22:07:41Z","timestamp":1513894061000},"page":"1507-1514","source":"Crossref","is-referenced-by-count":4,"title":["Exploring social contextual influences on healthy eating using big data analytics"],"prefix":"10.1109","author":[{"given":"Vijaya Kumari","family":"Yeruva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sidrah","family":"Junaid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yugyung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"0","key":"ref39"},{"journal-title":"Dietary Guidelines for Americans for children","year":"2015","key":"ref38"},{"year":"0","key":"ref33"},{"year":"0","key":"ref32"},{"year":"0","key":"ref31"},{"journal-title":"Genomics and social network analysisteam up to solve disease outbreaks","year":"2011","key":"ref30"},{"year":"0","key":"ref37"},{"journal-title":"Falcons Winner Score","year":"0","key":"ref36"},{"journal-title":"Number of social media users worldwide from 2010 to 2020","year":"2017","key":"ref35"},{"year":"2017","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/15230406.2013.776210"},{"key":"ref11","first-page":"252","article-title":"Twitter sentiment analysis","volume":"17","author":"alec","year":"2009","journal-title":"Entropy"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1609\/icwsm.v8i1.14550","article-title":"VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text","author":"hutto","year":"2014","journal-title":"Eighth International AAAI Conference on Weblogs and Social Media (ICWSM'14)"},{"key":"ref13","article-title":"Food detection and recognition using convolutional neural network","author":"hokuto","year":"2014","journal-title":"Proceedings of the 2nd ACM International Multimedia Conference"},{"key":"ref14","article-title":"Highly accurate food\/non-food image classification based on a deep convolutional neural network","author":"hokuto","year":"2015","journal-title":"International Conference on Image Analysis and Processing"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijinfomgt.2017.08.002","article-title":"Characterizing diabetes, diet, exercise, and obesity comments on Twitter","volume":"38","author":"amir","year":"2018","journal-title":"International Journal of Information Management"},{"key":"ref16","article-title":"A New Deep Learning-based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure","author":"chang","year":"2017","journal-title":"IEEE Transactions on Services Computing"},{"key":"ref17","article-title":"Social sensing: obesity, unhealthy eating and exercise in face-to-face networks","author":"anmol","year":"2010","journal-title":"Wireless Health 2010 ACM"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781316182635"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2196\/publichealth.5869"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2014.07.017"},{"key":"ref4","first-page":"115e122","article-title":"Towards detecting influenza epidemics by analyzing Twittermessages","author":"culotta","year":"2010","journal-title":"InProceedings of thefirst workshop on social media analytics"},{"key":"ref27","article-title":"Going deeper with convolutions","author":"christian","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref3","article-title":"Calories Prediction from Food Images","author":"manal","year":"2017","journal-title":"AAAI"},{"key":"ref6","volume":"181","author":"ehrenberg","year":"2012","journal-title":"Twitter kept up with Haiti cholera outbreak social media cantrack disease spread even in poorest countries ScienceNews"},{"key":"ref29","first-page":"95","article-title":"Spark: Cluster computing with working sets","volume":"10","author":"matei","year":"2010","journal-title":"HotCloud"},{"key":"ref5","article-title":"FoodMood: Measuring global food sentiment one tweet at a time","author":"natalie","year":"2012","journal-title":"Proceedings of the International AAAI Conference on Weblogs and Social Media"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.compbiomed.2016.07.006","article-title":"Retrieval and classification of food images","volume":"77","author":"giovanni maria","year":"2016","journal-title":"Computers in Biology and Medicine"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0956797614557867"},{"key":"ref2","first-page":"702e707","article-title":"Pre-dictingflu trendsusing Twitter data","author":"achrekar","year":"2011","journal-title":"2011 IEEE Conference on Computer CommunicationsWorkshops (INFOCOM WKSHPS)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2009.2014"},{"journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems","year":"2016","author":"martn","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2012.40"},{"key":"ref22","first-page":"265","article-title":"You are what you Tweet: Analyzing Twitter for public health","volume":"20","author":"paul","year":"2011","journal-title":"ICWSM"},{"journal-title":"Twitter Monthly Active Users Crawl To 316M Dorsey We are not satisfied","year":"2015","author":"olanoff","key":"ref21"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1109\/MIM.2016.7384954","article-title":"You are what you eat: So measure what you eat!","volume":"19","author":"parisa","year":"2016","journal-title":"IEEE Instrumentation & Measurement Magazine"},{"key":"ref23","article-title":"Convolutional MKL based multimodal emotion recognition and sentiment analysis","author":"soujanya","year":"2016","journal-title":"Data Mining (ICDM) 2016 IEEE 16th International Conference on IEEE"},{"key":"ref26","article-title":"Food\/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model","author":"ashutosh","year":"2016","journal-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajic.2009.11.004"}],"event":{"name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2017,11,13]]},"location":"Kansas City, MO","end":{"date-parts":[[2017,11,16]]}},"container-title":["2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8169618\/8217602\/08217885.pdf?arnumber=8217885","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T04:17:34Z","timestamp":1693369054000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8217885\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/bibm.2017.8217885","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}