| 國立交通大學 |
2014-12-08T15:30:35Z |
Predicting Human Movement Based on Telecom's Handoff in Mobile Networks
|
Lin, Yi-Bing; Huang-Fu, Chien-Chun; Alrajeh, Nabil |
| 臺大學術典藏 |
2021-09-02T00:09:19Z |
Predicting human olfactory perception from chemical features of odor molecules
|
Keller A;Gerkin R.C;Guan Y;Dhurandhar A;Turu G;Szalai B;Mainland J.D;Ihara Y;Yu C.W;Wolfinger R;Vens C;Schietgat L;De Grave K;Norel R;Stolovitzky G;Cecchi G.A;Vosshall L.B;Meyer P;Bhondekar A.P;Boutros P.C;Chang Y.C;Chen C.Y;Cherng B.W;Dimitriev A;Dolenc A;Falcao A.O;Goli?ska A.K;Hong M.Y;Hsieh P.H;Huang B.F;Hunyady L;Kaur R;Kazanov M.D;Kumar R;Lesi?ski W;Lin X;Matteson A;Oyang Y.J;Panwar B;Piliszek R;Polewko-Klim A;Raghava G.P.S;Rudnicki W.R;Saiz L;Sun R.X;Toplak M;Tung Y.A;Us P;V?rnai P;Vilar JMG;Xie M;Yao D;Zitnik M;Zupan B.; Keller A; YEN-JEN OYANG et al. |
| 國立成功大學 |
2022-01-6 |
Predicting human papillomavirus vaccine uptake in men who have sex with men the influence of vaccine price and receiving an HPV diagnosis
|
Yao;Po-Yi;Lin;Chung-Ying;Ko;Nai-Ying;Zou;Huachun;Lee;Chia-Wen;Strong;Carol |
| 中華大學 |
2003 |
predicting hyperkalemia by a two staged artificial neural network
|
謝瑞建 |
| 中華大學 |
2003 |
Predicting Hyperkalemia by a Two-Staged Artificial Neural Network
|
曾文慶; Tzeng, Wen-Ching |
| 中華大學 |
2005 |
Predicting Hyperkalemia by the Use of a 12-Lead Temporal-Spatial Electrocardiograph: Clinical Evaluations and Model Simulations
|
曾文慶; Tzeng, Wen-Ching |
| 國立成功大學 |
2023-06-12 |
Predicting hyperkalemia in patients with advanced chronic kidney disease using the XGBoost model
|
Chang;Hsin-Hsiung;Chiang;Jung-Hsien;Tsai;Chun-Chieh;Chiu;Ping-Fang |
| 佛光大學 |
2022 |
Predicting Hypnotic Use among Insomnia Patients with the Theory of Planned Behavior and Craving
|
黃芸新; Yang, C. M.;Lai, Y. S.;Huang, Y. H.;Huang, Y. C.;Lee, H. C. |
| 臺北醫學大學 |
2008 |
Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks
|
邱泓文; Lin CS; Chiu JS; Hsieh MH; Mok MS; Li YC; Chiu HW |
| 臺北醫學大學 |
2008 |
Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks
|
林朝順; Lin CS; Chiu JS; Hsieh MH; Mok M; Li YC; Chiu HW |
| 臺北醫學大學 |
2008 |
Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks
|
Chao-Shun Lina; Jainn-Shiun Chiud; Ming-Hui Hsieh; Martin S. Mok; Yu-Chuan Li; Hung-Wen Chiue |
| 臺北醫學大學 |
2008 |
Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks
|
李友專;Chao-Shun Lina;Jainn-Shiun Chiu;Ming-Hui Hsieh;Martin S. Mok;Hung-Wen Chiu; |
| 國立成功大學 |
2022-06 |
Predicting in-hospital length of stay for very-low-birth-weight preterm infants using machine learning techniques
|
Lin;Wei-Ting;Wu;Tsung-Yu;Chen;Yen-Ju;Chang;Yu-Shan;Lin;Chyi-Her;Lin;Yuh-Jyh |
| 元智大學 |
2004-04 |
Predicting information systems outsourcing success using a hierarchical design of case-based reasoning
|
徐綺憶; 邱昭彰; 徐培倫 |
| 嘉南藥理大學 |
2009 |
Predicting information-seeking intention in academic digital libraries
|
Chiao-Chen Chang, Chia-Yen Lin, Yu-Chin Chen, Yang-Chieh Chin |
| 國立交通大學 |
2014-12-08T15:20:03Z |
Predicting information-seeking intention in academic digital libraries
|
Chang, Chiao-Chen; Lin, Chia-Yen; Chen, Yu-Chin; Chin, Yang-Chieh |
| 淡江大學 |
2009-12 |
Predicting Information-Seeking Intention in Academic Digital Libraries
|
Chang, Chiao-chen; Lin, Chia-yen; Chen,Yu-chin; Chin, Yang-chieh |
| 國立成功大學 |
2024 |
Predicting Inpatient Deterioration in General Wards Using LSTM
|
Wang;H, -Y.;Tsai;M, -H.;Lin;C, -J.;Po-Lin;P, -L.;Chen;P, -F.;Teng;W, -G. |
| 臺大學術典藏 |
2020-11-30T06:15:18Z |
Predicting inpatient readmission and outpatient admission in elderly a population-based cohort study
|
Lin K.-P.; Chen P.-C.; Huang L.-Y.; Mao H.-C.; DING-CHENG CHAN |
| 臺大學術典藏 |
2020-11-30T08:41:57Z |
Predicting inpatient readmission and outpatient admission in elderly a population-based cohort study
|
KUN-PEI LIN; Chen P.-C.; Huang L.-Y.; Mao H.-C.; Chan D.-C.D. |
| 臺大學術典藏 |
2020-09-28T02:47:21Z |
Predicting intention to participate in self-management behaviors in patients with Familial Hypercholesterolemia: A cross-national study
|
Hagger M.S.; Hamilton K.; Hardcastle S.J.; Hu M.; Kwok S.; Lin J.; Nawawi H.M.; Pang J.; Santos R.D.; Soran H.; TA-CHEN SU; Tomlinson B.; Watts G.F. |
| 國立成功大學 |
2020 |
Predicting Intention to Participate in Socially Responsible Collective Action in Social Networking Website Groups
|
Chen;Victor, Jengchung;Hiele;McBush, Timothy;Kryszak;Adam;Ross;William, H. |
| 國立成功大學 |
2012 |
Predicting intention to purchase on group buying website in Taiwan Virtual community, critical mass and risk
|
Cheng, Shu-Yun; Tsai, Ming-Tien; Cheng, Nai-Chang; Chen, Kun-Shiang |
| 國立中山大學 |
2006 |
Predicting intention to save water: Theory of planned behavior, response efficacy, vulnerability and perceived effectiveness of alternative solutions
|
S.P. Lam |
| 國立政治大學 |
2016-07 |
Predicting intention to take protective measures during haze:The roles of efficacy, threat, media trust, and affective attitude
|
林翠絹; Lin, Trisha T.C.; Bautista, John Robert |
