CiNii Articles - Decision tree

1

Machine learning-based prediction models for accidental hypothermia patients

Okada Yohei , Matsuyama Tasuku , Morita Sachiko , Ehara Naoki , Miyamae Nobuhiro , Jo Takaaki , Sumida Yasuyuki , Okada Nobunaga , Watanabe Makoto , Nozawa Masahiro , Tsuruoka Ayumu , Fujimoto Yoshihiro , Okumura Yoshiki , Kitamura Tetsuhisa , Iiduka Ryoji , Ohtsuru Shigeru

… Prediction models for in-hospital mortality using machine learning (lasso, random forest, and gradient boosting tree) were made in development cohort from six hospitals, and the predictive performance were assessed in validation cohort from other six hospitals. … The C-statistics [95% CI] of the models in validation cohorts were as follows: lasso 0.784 [0.717-0.851] , random forest 0.794[0.735-0.853], gradient boosting tree 0.780 [0.714-0.847], SOFA 0.787 [0.722-0.851], and 5A score 0.750[0.681-0.820]. …

Journal of Intensive Care (9), 6, 2021-01-09

IR
2

Cost-effectiveness of a hybrid emergency room system for severe trauma: a health technology assessment from the perspective of the third-party payer in Japan

Kinoshita Takahiro , Moriwaki Kensuke , Hanaki Nao , Kitamura Tetsuhisa , Yamakawa Kazuma , Fukuda Takashi , Hunink Myriam G.M. , Fujimi Satoshi

… A short-term decision tree and a long-term Markov model using a lifetime time horizon were constructed to estimate quality-adjusted life years (QALYs) and associated lifetime healthcare costs. …

World Journal of Emergency Surgery (16), 2, 2021-01-07

IR
3

An Inverse Design Method for Windshield Defrosting-Demisting Performance Using Machine Learning Techniques. [in Japanese]

Phan Vinh Long , Yamamae Yasuo , Tanaka Hiroshi , Yasuki Tsuyoshi

自動車の電動化につれてエンコパにあるデフロスタノズルの配置可能な空間は狭くなり、デフロスタノズル形状は小型化される。この制約の下で晴れ性能を確保しながらCFD・実験による評価工数を低減する必要がある。本研究では機械学習を活用してデフロスタ晴れ性能を表すウィンドシルード流速分布を幅広い設計空間の中で瞬時に予測可能なReduced Modelを作成した。又Reduced Modelの予測結果に対して決 …

Transactions of Society of Automotive Engineers of Japan 52(1), 184-189, 2021

J-STAGE
4

A Study on Decision Tree-based Approximation Computing of Binarized Neural Networks [in Japanese]

谷田部匠 , 磯部宙 , 富岡洋一 , 齋藤寛

回路とシステムワークショップ論文集 Workshop on Circuits and Systems 33, 121-123, 2020-11-07
5

Reorganization Impressionism : A Proposal for a New Methodology Using Machine Learning [in Japanese]

原翔子

… Therefore, the decision tree, which is a classiﬁcation method of machine learning, is applied on 120 impressionist paintings from the Chicago Institute of Fine Arts. …

情報学研究 : 学環 : 東京大学大学院情報学環紀要 (99), 17-31, 2020-10-30

IR
6

Reorganization Impressionism : A Proposal for a New Methodology Using Machine Learning [in Japanese]

原翔子

… Therefore, the decision tree, which is a classiﬁcation method of machine learning, is applied on 120 impressionist paintings from the Chicago Institute of Fine Arts. …

情報学研究 : 学環 : 東京大学大学院情報学環紀要 (99), 17-31, 2020-10-30

IR
7

Malicious Domain Detection Based on Decision Tree

Thin Tharaphe Thein , 白石善明 , 森井昌克

コンピュータセキュリティシンポジウム2020論文集, 17-20, 2020-10-19

IPSJ
8

Privacy-Preserving XGBoost Introducing Federated Learning Scheme [in Japanese]

山本楓己 , 王立華 , 小澤誠一

コンピュータセキュリティシンポジウム2020論文集, 228-235, 2020-10-19

IPSJ
9

An Oblivious Inference Protocol for Decision Tree Ensembles with Model and Privacy Protection [in Japanese]

稲毛康太 , 橋本昌宜 , 上野嶺 , 粟野皓光 , 本間尚文

コンピュータセキュリティシンポジウム2020論文集, 396-403, 2020-10-19

IPSJ
10

Gradient Boosting Decision Tree Ensemble Learning for Malware Binary Classification

Yun Gao , Hirokazu Hasegawa , Yukiko Yamaguchi , Hajime Shimada

コンピュータセキュリティシンポジウム2020論文集, 589-595, 2020-10-19

IPSJ
11

Static Analysis Based Malware Detection Using Ensemble Neural Networks [in Japanese]

樋川卓也

コンピュータセキュリティシンポジウム2020論文集, 632-636, 2020-10-19

IPSJ
12

An Efficient Decision Tree Training Algorithm for Secure Multiparty Computation [in Japanese]

濱田浩気

コンピュータセキュリティシンポジウム2020論文集, 1126-1133, 2020-10-19

IPSJ
13

A Study on Optimal Predictor for Decision Tree-Based Online Small-disturbance Voltage Stability Assessment [in Japanese]

中野晴也 , 横山明彦 , 栄田真吾 , Verma S.C.

電気学会研究会資料. PSE = The papers of Technical Meeting on "Power Systems Engineering", IEE Japan 2020(41-46・48・65-72・75-80), 117-121, 2020-09-24
14

A Study on Optimal Predictor for Decision Tree-Based Online Small-disturbance Voltage Stability Assessment [in Japanese]

中野晴也 , 横山明彦 , 栄田真吾 , Verma S.C.

電気学会研究会資料. PE 2020(36-41・43・60-67・70-75), 117-121, 2020-09-24
15

A TREE-BASED MODEL TO DETERMINE DESIGN DECISIONS FROM MULTIPLE ARCHITECTURAL CONDITIONS IN THE RETROFIT ARCHITECTURE [in Japanese]

OOI Tetsuya , IMAI Kotaro , HONMA Kentaro

… The purpose of this study was to reveal the relationship between "architectural conditions" and "design decisions" of retrofit architecture, using statistical analyses: cluster analysis and decision tree analysis. The subjects of this study were 93 cases of retrofitted modern architecture, which were printed in the magazine, Shinkenchiku, from 1974 to 2017. …

Journal of Architecture and Planning (Transactions of AIJ) (775), 1921-1930, 2020-09

J-STAGE AIJ
16

Development of IoT for Manufacturing Industry [in Japanese]

長坂悦敬

鋳造工学 = Journal of Japan Foundry Engineering Society 92(8), 396-401, 2020-08
17

Determining the Prioritized Victim of Earthquake Disaster Using Fuzzy Logic and Decision Tree Approach

Mohammed Ali Berawi , Sutan Akbar Onggar Siahaan , Gunawan , Miraj Perdana , Leviakangas Pekka

… To achieve these objectives, the fuzzy expert method, decision tree, and expert knowledge bases are used. … The results from fuzzy logic and decision tree analysis show that there is a high accuracy in the decision used to determine the prioritized victims that urgently need to be rescued during emergency response phase of disaster management. …

Evergreen 7(2), 246-252, 2020-06

IR DOI
18

Exploratory Study of Factors Related to Head Injury in High School Students [in Japanese]

大谷喜美江 , 森田一三 , 下村淳子 , 廣田直美 , 清水美代子 , 長谷川喜代美 , 三浦卓 , 渡邉智之 , 佐藤祐造

東海学校保健研究 = Tokai journal of school health 44(1), 57-67, 2020

Ichushi Web
19

Design and Performance Evaluation of Hexagonal Topology Networks with Novel Routing Algorithms

Yuh Jiuh Cheng , Bor-Tauo Chen , Wen-Lin Cheng

IEICE Proceeding Series (62), 310-313, 2020

DOI
20

IPv6 DoS Attacks Detection Using Machine Learning Enhanced IDS in SDN/NFV Environment

Chia-Wei Tseng , Li-Fan Wu , Shih-Chun Hsu , Sheng -Wang Yu

IEICE Proceeding Series (62), 263-266, 2020

DOI

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