| Presentation | 2020-11-13 Analyzing and Predicting Ambulance Demand for Heat Stroke Using Fine-grained Dispatch Log Tetsuya Nakai, Sachio Saiki, Masahide Nakamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the number of emergency transports is on the increaseThe number is expected to continue to grow. As a result, emergency medical service will be busier. Therefore, emergency medical service needs taking more appropriate and concrete measures by analyzing dispatch logs. In this paper, we focus on summer heat stroke as a contributing factor to the busyness on the emergency medical service. In order to identify whether the number of heat stroke transports affects the busyness of emergency medical service, we analyze from the rush time. Moreover, we predict the number of persons transported for heat stroke per day. By analyzing in detail the dispatch logs of the Kobe Fire Department, we found that heat stroke affects the busyness of emergency medical service. In addition, we were able to predict the number of persons transported for heat stroke from weather data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | heat stroke / ambulance / smartcity / demand prediction |
| Paper # | KBSE2020-11,SC2020-15 |
| Date of Issue | 2020-11-06 (KBSE, SC) |
| Conference Information | |
| Committee | KBSE / SC |
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| Conference Date | 2020/11/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Virtual / Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroyuki Nakagawa(Osaka Univ.) / Shinji Kikuchi(NIMS) |
| Vice Chair | Takuya Saruwatari(NTT Data) / Yoji Yamato(NTT) / Kosaku Kimura(Fujitsu Lab.) |
| Secretary | Takuya Saruwatari(OKI) / Yoji Yamato(NII) / Kosaku Kimura(Kobe Univ.) |
| Assistant | Shinpei Ogata(Shinshu Univ.) / Erina Nakihara(Doshisha Univ,) |
| Paper Information | |
| Registration To | Technical Committee on Knowledge-Based Software Engineering / Technical Committee on Service Computing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analyzing and Predicting Ambulance Demand for Heat Stroke Using Fine-grained Dispatch Log |
| Sub Title (in English) | |
| Keyword(1) | heat stroke |
| Keyword(2) | ambulance |
| Keyword(3) | smartcity |
| Keyword(4) | demand prediction |
| 1st Author's Name | Tetsuya Nakai |
| 1st Author's Affiliation | Kobe University(Kobe Univ.) |
| 2nd Author's Name | Sachio Saiki |
| 2nd Author's Affiliation | Kobe University(Kobe Univ.) |
| 3rd Author's Name | Masahide Nakamura |
| 3rd Author's Affiliation | Kobe University(Kobe Univ.) |
| Date | 2020-11-13 |
| Paper # | KBSE2020-11,SC2020-15 |
| Volume (vol) | vol.120 |
| Number (no) | KBSE-231,SC-232 |
| Page | pp.pp.13-19(KBSE), pp.13-19(SC), |
| #Pages | 7 |
| Date of Issue | 2020-11-06 (KBSE, SC) |