| 國立政治大學 |
2016 |
Predicting intention to take protective measures during haze:The roles of efficacy, threat, media trust, and affective attitude.
|
林翠絹; Lin, T. T. C. |
| 臺北醫學大學 |
2016-11 |
Predicting intentions of nurses to adopt patient personal health records: A structural equation modeling approach
|
溫信財; Min-Huey Chung, Cheng-Hsun Ho, Hsyien-Chia Wen |
| 國立政治大學 |
2016 |
Predicting Investor Funding Behavior using Crunchbase Social Network Features
|
苑守慈; Liang, Yuxian Eugene;Yuan, Soe-Tsyr Daphne |
| 中國文化大學 |
2024-08 |
Predicting ischemic stroke patients’ prognosis changes using machine learning in a nationwide stroke registry
|
Wei, Cheng-Yu |
| 中國文化大學 |
2024-08 |
Predicting ischemic stroke patients’ prognosis changes using machine learning in a nationwide stroke registry
|
Wei, Cheng-Yu |
| 國立政治大學 |
2017-08 |
Predicting Isocitrate Dehydrogenase Gene Mutations in Glioblastomas by Radiomic Textural Features
|
羅崇銘; Lo, Chung-Ming; Ng*, Kee-Koon; Hsieh, Kevin Li-Chun |
| 國立交通大學 |
2014-12-08T15:19:58Z |
Predicting issuer credit ratings using a semiparametric method
|
Hwang, Ruey-Ching; Chung, Huimin; Chu, C. K. |
| 淡江大學 |
2016/7 |
Predicting job offer acceptance of professionals in Taiwan: The case of the technology industry
|
Tsai, Yuan-Hui;Lin, Chieh-Peng;Hsu, Ya-Chu;Liu, Chu-Mei;Yen, Pi-Hsia |
| 國立交通大學 |
2017-04-21T06:56:01Z |
Predicting job offer acceptance of professionals in Taiwan: The case of the technology industry
|
Tsai, Yuan-Hui; Lin, Chieh-Peng; Hsu, Ya-Chu; Liu, Chu-Mei; Yen, Pi-Hsia |
| 臺大學術典藏 |
2022-05-24T06:10:54Z |
Predicting large CO2 adsorption in aluminosilicate zeolites for postcombustion carbon dioxide capture
|
Kim J.;Lin L.-C.;Swisher J.A.;Haranczyk M.;Smit B.; Kim J.; Lin L.-C.; Swisher J.A.; Haranczyk M.; Smit B.; LI-CHIANG LIN |
| 國立臺灣海洋大學 |
2009-06 |
Predicting Lateral Wall Deflection in Top-down Excavation by Neural Network
|
Shuhgi Chern;Juei-Hsing Tsai;Lien-Kwei Chien;Chong-Yue Huang |
| 國立東華大學 |
2007-05 |
Predicting Leisure Intentions and Behavior of Taiwanese High School Students
|
Yeh, C.K.;Hsu, Y.C.; N. Yeh |
| 元智大學 |
2010-12 |
Predicting Length of Hospital Stay of Burn Patients: Comparisons of Prediction Accuracy among Different Clinical Stages
|
Chin-Sheng Yang; Chih-Ping Wei; Chi-Chuan Yuan; Jen-Yu Schoung |
| 臺大學術典藏 |
2018-09-10T18:04:39Z |
Predicting length of stay among patients discharged from the emergency department-using an accelerated failure time model
|
Chaou, C.-H. ; Chen, H.-H. ; Chang, S.-H. ; Tang, P. ;Pan, S.-L. ;Yen, A.M.-F. ; Chiu, T.-F.; SHU-HUI CHANG; HSIU-HSI CHEN; SHIN-LIANG PAN |
| 臺大學術典藏 |
2017 |
Predicting length of stay among patients discharged from the emergency department-using an accelerated failure time model
|
Chiu T.-F.; Yen A.M.-F.; Tang P.; SHIN-LIANG PAN; Chen H.-H.; Chang S.-H.; Chaou C.-H. |
| 臺大學術典藏 |
2022-04-21T06:50:30Z |
Predicting length of stay among patients discharged from the emergency department-using an accelerated failure time model
|
Chaou C.-H.; Chen, Tony Hsiu Hsi; Chang S.-H.; Tang P.; Pan S.-L.; Yen A.M.-F.; Chiu T.-F. |
| 臺大學術典藏 |
2022-05-03T06:19:25Z |
Predicting length of stay among patients discharged from the emergency department-using an accelerated failure time model
|
Chaou C.-H.; Chen H.-H.; SHU-HUI CHANG; Tang P.; Pan S.-L.; Yen A.M.-F.; Chiu T.-F. |
| 國立成功大學 |
2024-11-15 |
Predicting life-threatening hemoptysis in traumatic pulmonary parenchymal injury using computed tomography semi-automated lung volume quantification
|
Tang;Wen-Ruei;Chang;Chao-Chun;Wu;Chen-Yu;Wang;Chih-Jung;Yang;Tsung-Han;Hung;Kuo-Shu;Liu;Yi-Sheng;Lin;Chia-Ying;Yen;Yi-Ting |
| 衛生福利部國家中醫藥研究所 |
2016 |
Predicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting Atoms
|
Jian, Jhih-Wei; Elumalai, Pavadai; Pitti, Thejkiran; Wu, Chih Yuan; Tsai, Keng-Chang; Chang, Jeng-Yih; Peng, Hung-Pin; Yang, An-Suei |
| 嘉南藥理大學 |
2011 |
Predicting Ligand-Receptor Interactions of Promiscuous Proteins by PhE/SVM: The Nuclear Receptor PXR
|
Yu-Hsuan Shih (施昱瑄); Ci-Nong Chen; Max K. Leong |
| 國立臺灣科技大學 |
2014 |
Predicting locations of mobile users based on behavior semantic mining
|
Lung H.-Y., Chung C.-H., Dai B.-R. |
| 國立臺灣大學 |
2001 |
Predicting Long-Term Care Institution Utilisation among Post- Rehabilitation Stroke Patients in Taiwan: A Medical Centre- Based Study
|
林昭宏; 謝清麟; LIN, JAU-HONG; HSIEH, CHING-LIN |
| 國家衛生研究院 |
2023-09-16 |
Predicting long-term care service demands for cancer patients: A machine learning approach
|
Chien, SC;Chang, YH;Yen, CM;Chen, YE;Liu, CC;Hsiao, YP;Yang, PY;Lin, HM;Lu, XH;Wu, IC;Hsu, CC;Chiou, HY;Chung, RH |
| 淡江大學 |
2023-09-16 |
Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach
|
Chen, Ying-erh |
| 中山醫學大學 |
2021-06-09 |
Predicting Long-Term Mortality in Patients with Angina across the Spectrum of Dysglycemia: A Machine Learning Approach
|
Li Yu-Hsuan;Sheu Wayne Huey-Herng; Yeh Wen-Chao;Chang Yung-Chun; Lee I-Te |
