{"id":46,"date":"2018-04-26T18:55:07","date_gmt":"2018-04-26T16:55:07","guid":{"rendered":"http:\/\/sma4h.icar.cnr.it\/wordpress\/?page_id=46"},"modified":"2023-06-07T16:19:13","modified_gmt":"2023-06-07T14:19:13","slug":"topics-of-interest","status":"publish","type":"page","link":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/topics-of-interest\/","title":{"rendered":"Topics of Interest"},"content":{"rendered":"<p><strong>Topics of interest include, but are not limited to:<\/strong><\/p>\n<p>\u2022 Crowdsourcing of network health data<br \/>\n\u2022 Methods for the automatic detection and extraction of health-related concept<br \/>\n\u2022 Data preprocessing and cleansing to deal with noise and missing data<br \/>\n\u2022 Streaming data mining<br \/>\n\u2022 Classifying and clustering of temporal health data in high dimensional spaces<br \/>\n\u2022 Application of deep learning methods to health data<br \/>\n\u2022 Novel architectures for scalable health data analysis and mining<br \/>\n\u2022 Statistics and probability in large-scale health social data analysis<br \/>\n\u2022 Community discovery and analysis<br \/>\n\u2022 Large-scale graph algorithms for social network analysis<br \/>\n\u2022 Social geography and spatial networks<br \/>\n\u2022 Mobility mining<br \/>\n\u2022 Spatio-temporal health data mining<br \/>\n\u2022 Spatio-temporal prediction of pandemics<br \/>\n\u2022 Methods for capturing outbreaks of infectious diseases<br \/>\n\u2022 Modeling the health status and well-being of individuals<br \/>\n\u2022 Models to predict the users\u2019 moods from social posts<br \/>\n\u2022 Real-time syndromic surveillance and early detection of emerging disease<br \/>\n\u2022 Virus spread monitoring and modelization<br \/>\n\u2022 Detect health-related topics of discussion and events<br \/>\n\u2022 Drug abuse and alcoholism incidence monitoring<br \/>\n\u2022 Methodologies and measures to understand patterns and trends for general public health research<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Topics of interest include, but are not limited to: \u2022 Crowdsourcing of network health data \u2022 Methods for the automatic detection and extraction of health-related concept \u2022 Data preprocessing and cleansing to deal with noise and missing data \u2022 Streaming data mining \u2022 Classifying and clustering of temporal health data in high dimensional spaces \u2022 &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages\/46"}],"collection":[{"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/comments?post=46"}],"version-history":[{"count":3,"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages\/46\/revisions"}],"predecessor-version":[{"id":74,"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/pages\/46\/revisions\/74"}],"wp:attachment":[{"href":"https:\/\/sma4h.icar.cnr.it\/wordpress\/index.php\/wp-json\/wp\/v2\/media?parent=46"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}