{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T19:54:30Z","timestamp":1721678070477},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683706","type":"print"},{"value":"9781643683713","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T00:00:00Z","timestamp":1674432000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,23]]},"abstract":"<jats:p>It is significant to detect, estimate and predict \u201cHuman-health situations\u201d and \u201ca spread of transmitted disease\u201d with past and current information of health-related phenomena. Temporal-transition and differential computing realizes semantic interpretations for situation changes in two phenomena with \u201ctemporal-length\u201d in \u201cspecific situation\u201d. The \u201ctemporal-length\u201d in \u201cspecific situation\u201d is used to compare two phenomena in multiple contexts in semantics. We present a new Temporal-transition Differential Computing Model for detecting, estimating and predicting \u201cHuman-health situations\u201d and \u201ca spread of transmitted disease.\u201d This model defines \u201ctemporal-transition data structure\u201d for expressing past and current information of health-related phenomena with temporal-axis, and two processes for Human-Health Semantic Space Creation and Semantic Computing with dimensional control mechanism.<\/jats:p>","DOI":"10.3233\/faia220504","type":"book-chapter","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T13:57:03Z","timestamp":1674741423000},"source":"Crossref","is-referenced-by-count":1,"title":["Temporal-Transition &amp; Differential Computing for Health-Related Phenomena in Transmitted Diseases and Health Situation-Change Mapped onto 5D World Map System"],"prefix":"10.3233","author":[{"given":"Yasushi","family":"Kiyoki","sequence":"first","affiliation":[{"name":"Graduate School of Media and Governance, Keio University, Japan"},{"name":"Graduate School of Data Science, Musashino University, Japan"}]},{"given":"Koji","family":"Murakami","sequence":"additional","affiliation":[{"name":"SFC Research Institute, Keio University, Japan"},{"name":"Prevent Science Co., Ltd"}]},{"given":"Asako","family":"Uraki","sequence":"additional","affiliation":[{"name":"Graduate School of Media and Governance, Keio University, Japan"}]},{"given":"Shiori","family":"Sasaki","sequence":"additional","affiliation":[{"name":"Graduate School of Media and Governance, Keio University, Japan"},{"name":"Graduate School of Data Science, Musashino University, Japan"}]},{"given":"Akira","family":"Kano","sequence":"additional","affiliation":[{"name":"Fujimino emergency hospital"}]},{"given":"Yuta","family":"Yakushiji","sequence":"additional","affiliation":[{"name":"Prevent Science Co., Ltd"}]},{"given":"Eri","family":"Fujiwara","sequence":"additional","affiliation":[{"name":"Prevent Science Co., Ltd"}]},{"given":"Mutsumi","family":"Kondo","sequence":"additional","affiliation":[{"name":"Prevent Science Co., Ltd"}]},{"given":"Hitomi","family":"Azuma","sequence":"additional","affiliation":[{"name":"Prevent Science Co., Ltd"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXXIV"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220504","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T13:57:04Z","timestamp":1674741424000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220504"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,23]]},"ISBN":["9781643683706","9781643683713"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220504","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,23]]}}}