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臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
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Institution Date Title Author
國立臺灣大學 2008 Machine Learning in Predicting Survival from a Web-Based Registry of in- Hospital Resuscitation: Implication for Reassessing Prognostic Determinants in Utstein Template 呂宗謙; 石崇良; 馬惠明; 陳石池; 李友專; 賴飛羆; LU, TSUNG-CHIEN; SHIH, CHUNG-LIANG; MA, MATTHEW HUEI -MING; CHEN, SHYR-CHYR; LI, YU-CHUAN; LAI, FEIPEI
臺大學術典藏 2022-02-14T23:55:48Z Machine Learning in Prediction of Bladder Cancer on Clinical Laboratory Data I-JUNG TSAI; Shen, Wen Chi; Lee, Chia Ling; Wang, Horng Dar; CHING-YU LIN
中山醫學大學 2020 Machine Learning in Prediction of Second Primary Cancer and Recurrence in Colorectal Cancer Ting, WC; Lu, YCAG; Ho, WC; Cheewakriangkrai, CL; Chang, ORR; Lin, CL
國立成功大學 2024 Machine Learning in Sports Analytics: Volleyball Match Outcome Prediction Lin;H, -Y.;Lien;J, -J.J.;Chang;Y, -N.
國立成功大學 2021 Machine Learning Investigation of Supplementary Adsorbate Influence on Copper for Enhanced Electrochemical CO2Reduction Performance Wu, D.;Zhang, J.;Cheng, M.-J.;Lu, Q.;Zhang, H.
國立成功大學 2021 Machine learning in�earthquake- and typhoon-triggered landslide susceptibility mapping and critical factor identification Ali, M.Z.;Chu, H.-J.;Chen, Y.-C.;Ullah, S.
臺大學術典藏 2021-05-24T13:07:32Z Machine learning Lie structures & applications to physics HENG-YU CHEN; He, Yang Hui; Lal, Shailesh; Majumder, Suvajit
元智大學 Apr-19 Machine learning methods applied to predict ventilator-associated pneumonia with Pseudomonas aeruginosa infection via sensor array of electronic nose in intensive care unit Yu-Hsuan Liao; Zhong-Chuang Wang; Fu-Gui Zhang; Maysam F. Abbod; Chung-Hung Shih; J.S. Shieh
國家衛生研究院 2023-12-14 Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores Hrytsenko, Y;Shea, B;Elgart, M;Kurniansyah, N;Lyons, G;Morrison, AC;Carson, AP;Haring, B;Mitchel, BD;Psaty, BM;Jaeger, BC;Gu, CC;Kooperberg, C;Levy, D;Lloyd-Jones, D;Choi, E;Brody, JA;Smith, JA;Rotter, JI;Moll, M;Fornage, M;Simon, N;Castaldi, P;Casanova, R;Chung, RH;Kaplan, R;Loos, RJF;Kardia, SLR;Rich, SS;Redline, S;Kelly, T;O'Connor, T;Zhao, W;Kim, W;Guo, X;Der Ida Chen, Y;Sofer, T
國家衛生研究院 2024-05-30 Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores Hrytsenko, Y;Shea, B;Elgart, M;Kurniansyah, N;Lyons, G;Morrison, AC;Carson, AP;Haring, B;Mitchell, BD;Psaty, BM;Jaeger, BC;Gu, CC;Kooperberg, C;Levy, D;Lloyd-Jones, D;Choi, E;Brody, JA;Smith, JA;Rotter, JI;Moll, M;Fornage, M;Simon, N;Castaldi, P;Casanova, R;Chung, RH;Kaplan, R;Loos, RJF;Kardia, SLR;Rich, SS;Redline, S;Kelly, T;O'Connor, T;Zhao, W;Kim, W;Guo, X;Ida Chen, YD;Sofer, T
亞洲大學 2020-01-20 Machine Learning Models for Secure Data Analytics: A taxonomy and threat model Gupta, Rajesh; Tanwa, Sudeep; Tanwar, Sudeep; Ty, Sudhanshu; Tyagi, Sudhanshu; Kumar, Neeraj; KUMAR, NEERAJ
國立成功大學 2022 Machine learning predictions of irradiation embrittlement in reactor pressure vessel steels Liu, Y.-C.;Wu, H.;Mayeshiba, T.;Afflerbach, B.;Jacobs, R.;Perry, J.;George, J.;Cordell, J.;Xia, J.;Yuan, H.;Lorenson, A.;Wu, H.;Parker, M.;Doshi, F.;Politowicz, A.;Xiao, L.;Morgan, D.;Wells, P.;Almirall, N.;Yamamoto, T.;Odette, G.R.
淡江大學 2023-02-03 Machine Learning Predictive Models for Evaluating Risk Factors Affecting Sperm Count: Predictions Based on Health Screening Indicators Huang, Hung-Hsiang;Hsieh, Shang-Ju;Chen, Ming-Shu;Jhou, Mao-Jhen;Liu, Tzu-Chi;Shen, Hsiang-Li;Yang, Chih-Te;Hung, Chung-Chih;Yu, Ya-Yen;Lu*, Chi-Jie
國立臺北護理健康大學 2022-07 Machine learning predicts clinically significant health related quality of life improvement after sensorimotor rehabilitation interventions in chronic stroke Liao, Wan-Wen; Hsieh, Yu-Wei; Lee, Tsong-Hai; Chen, Chia-Ling; Wu, Ching-Yi
國家衛生研究院 2024-05-01 Machine learning reveals UHRF-X as a biomarker for systemic lupus erythematosus and an antagonistic protein against UHRF1 E3 ligase Chuang, HC;Tan, TH
臺大學術典藏 2020-06-04T07:48:54Z Machine Learning Techniques for Recognizing IoT Devices Lin, Y.C.;Wang, F.; Lin, Y.C.; Wang, F.; FARN WANG
國立成功大學 2022-11 Machine learning technology in biohydrogen production from agriculture waste: Recent advances and future perspectives Sharma;Kumar, Amit;Ghodke;Kumar, Praveen;Goyal;Nishu;Nethaji;S;Chen;Wei-Hsin
國立成功大學 2023-02-17 Machine learning to predict late respiratory support in preterm infants: a retrospective cohort study Wu;Tsung-Yu;Lin;Wei-Ting;Chen;Yen-Ju;Chang;Yu-Shan;Lin;Chyi-Her;Lin;Yuh-Jyh
國立成功大學 2022-10-14 Machine learning to predict the development of recurrent urinary tract infection related to single uropathogen, Escherichia coli Jeng;Shuen-Lin;Huang;Zi-Jing;Yang;Deng-Chi;Teng;Ching-Hao;Wang;Ming-Cheng
臺北醫學大學 2025-01-13 Machine Learning to Predict the Risk of Complications among Type 2 Diabetes Mellitus Patients using Taipei Medical University Clinical Research Database Phuc, Phan Thanh
國立政治大學 2009 Machine learning trend anticipation by text mining methodology based on SSCI database Chiang, Johannes Kuo-huie;Liao, W.-C.; 姜國輝
修平科技大學 2005 Machine Learning with Automatic Feature Selection for Multi-Class Protein Fold Classification 黃淳德;梁勝富;林進燈;吳瑞成
國立交通大學 2014-12-08T15:18:50Z Machine learning with automatic feature selection for multi-class protein fold classification Huang, CD; Liang, SF; Lin, CT; Wu, RC
臺大學術典藏 2022-03-22T08:26:45Z Machine Learning with Explainable Artificial Intelligence Vision for Characterization of Solution Conductivity Using Optical Emission Spectroscopy of Plasma in Aqueous Solution Wang C.-Y;Ko T.-S;Hsu C.-C.; Wang C.-Y; Ko T.-S; Hsu C.-C.; JERRY CHENG-CHE HSU
臺大學術典藏 2022-03-22T08:29:38Z Machine Learning with Explainable Artificial Intelligence Vision for Characterization of Solution Conductivity Using Optical Emission Spectroscopy of Plasma in Aqueous Solution Wang C.-Y;Ko T.-S;Hsu C.-C.; Wang C.-Y; Ko T.-S; Hsu C.-C.; JERRY CHENG-CHE HSU

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