Temporal-Transition & Differential Computing for Health-Related Phenomena in Transmitted Diseases and Health Situation-Change Mapped onto 5D World Map System
Yasushi Kiyoki, Koji Murakami, Asako Uraki, Shiori Sasaki, Akira Kano, Yuta Yakushiji, Eri Fujiwara, Mutsumi Kondo, Hitomi Azuma · Frontiers in artificial intelligence and applications · 2023
It is significant to detect, estimate and predict “Human-health situations” and “a spread of transmitted disease” with past and current information of health-related phenomena. Temporal-transition and differential computing realizes semantic interpretations for situation changes in two phenomena with “temporal-length” in “specific situation”. The “temporal-length” in “specific situation” 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 “Human-health situations” and “a spread of transmitted disease.” This model defines “temporal-transition data structure” 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.