{"id":209722,"created":"2025-01-19T01:11:00.763914+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209722","sets":["1164:2735:10526:10527"]},"path":["10527"],"owner":"44499","recid":"209722","title":["ランダムフォレストを用いたインフルエンザ流行予測の試み"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-22"},"_buckets":{"deposit":"b4205929-1bfc-4103-b328-abb192e4a025"},"_deposit":{"id":"209722","pid":{"type":"depid","value":"209722","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ランダムフォレストを用いたインフルエンザ流行予測の試み","author_link":["529434","529435"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ランダムフォレストを用いたインフルエンザ流行予測の試み"}]},"item_type_id":"4","publish_date":"2021-02-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"金沢工業大学"},{"subitem_text_value":"金沢工業大学"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/209722/files/IPSJ-MPS21132022.pdf","label":"IPSJ-MPS21132022.pdf"},"date":[{"dateType":"Available","dateValue":"2023-02-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS21132022.pdf","filesize":[{"value":"820.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"bf25a67c-8679-41db-ba9c-82a04830f497","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"吉田, 総太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"林, 亮子"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"現在新型コロナウイルス感染症 COVID-19 が世界中で流行しており，2021 年 1 月末ごろの段階で世界中の累積感染者数が 1 億人，累積死亡者数が 216 万人と言われている．COVID-19 は重症化すると死亡率が高く，犠牲者を減らすために日常生活を大きく制限している国が多いため，世界中で経済的な影響が出ている深刻な状況である．新型コロナウイルス感染症に関する蓄積データはまだ少ないために，現段階でデータマイニングを行うことは困難であるが，インフルエンザ感染症はすでに一定の蓄積データがあり，インフルエンザ感染症の理解が COVID-19 にもある程度参考になることが期待できる．そこで本稿では，統計プログラミング言語 R のランダムフォレストパッケージを用いてインフルエンザ新規感染者数の予測を試みた結果を報告する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicVolumeNumber":"2021-MPS-132"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T18:25:30.290359+00:00","links":{}}