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• Prediction of cerebral hyperperfusion syndrome after carotid stenting: A cerebral perfusion computed tomography study

  Tseng, Y. C., Hsu, H-L., Lee, T. H., Hsieh, I. C. & Chen, C. J., Jul 2009, In: Journal of Computer Assisted Tomography. 33, 4, p. 540-545 6 p.

  Research output: Contribution to journal › Article › peer-review
  20 Citations (Scopus)

• Prediction of bleeding diathesis in patients undergoing cardiopulmonary bypass during cardiac surgery: Viscoelastic measures versus routine coagulation test

  Shih, R. L., Cherng, Y. G., Chao, A., Chen, J. T., Tsai, A. L. & Liu, C. C., 1997, In: Acta Anaesthesiologica Sinica. 35, 3, p. 133-139 7 p.

  Research output: Contribution to journal › Article › peer-review
  35 Citations (Scopus)

• Prediction of B-cell epitopes using evolutionary information and propensity scales

  Lin, S. Y. H., Cheng, C. W. & Su, E. C. Y., Jan 21 2013, In: BMC Bioinformatics. 14, S10.

  Research output: Contribution to journal › Article › peer-review
  31 Citations (Scopus)

• Prediction of atrial fibrillation recurrence before catheter ablation using an adaptive nonlinear and non-stationary surface ECG analysis

  Cui, X., Chang, H. C., Lin, L. Y., Yu, C. C., Hsieh, W. H., Li, W., Peng, C. K., Lin, J-L. & Lo, M. T., Jan 15 2019, In: Physica A: Statistical Mechanics and its Applications. 514, p. 9-19 11 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network

  Nguyen, T. T. D., Le, N. Q. K., Kusuma, R. M. I. & Ou, Y. Y., Nov 1 2019, In: Journal of Molecular Graphics and Modelling. 92, p. 86-93 8 p.

  Research output: Contribution to journal › Article › peer-review
  16 Citations (Scopus)

• Prediction of a rare chromosomal aberration simultaneously with next generation sequencing-based comprehensive chromosome screening in human preimplantation embryos for recurrent pregnancy loss

  Lee, Y. X., Chen, C. W., Lin, Y. H., Tzeng, C. R. & Chen, C. H., Jan 1 2018, In: Journal of Assisted Reproduction and Genetics. 35, 1, p. 1-6 6 p.

  Research output: Contribution to journal › Article › peer-review

• Prediction of anterior cruciate ligament injury from MRI using deep learning

  Truong, N. K. H., Nguyen, T. P., Kha, Q. H., Le, N. H., Le, V. T., Cao, T., Luu, H. T. L., Le, N. Q. K. & Kang, J. H., 2021, International Forum on Medical Imaging in Asia 2021. Chang, R-F. (ed.). SPIE, 117920F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11792).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Prediction of ADHD to Anxiety Disorders: An 11-Year National Insurance Data Analysis in Taiwan

  Tai, Y. M., Gau, C. S., Gau, S. S. F. & Chiu, H. W., Nov 2013, In: Journal of Attention Disorders. 17, 8, p. 660-669 10 p.

  Research output: Contribution to journal › Article › peer-review
  15 Citations (Scopus)

• Prediction for Intravenous Immunoglobulin Resistance by Using Weighted Genetic Risk Score Identified from Genome-Wide Association Study in Kawasaki Disease

  Kuo, H. C., Wong, H. S. C., Chang, W. P., Chen, B. K., Wu, M. S., Yang, K. D., Hsieh, K. S., Hsu, Y. W., Liu, S. F., Liu, X. & Chang, W. C., Oct 1 2017, In: Circulation: Cardiovascular Genetics. 10, 5, e001625.

  Research output: Contribution to journal › Article › peer-review
  21 Citations (Scopus)

• Prediction factors related to nurses' intention, and perceotion of quality of care in acute care hospitals

  Ma, J. C., Lee, P-H., Yang, Y. C. & Chang, W. Y., May 2009, In: Nursing Economics. 27, 3

  Research output: Contribution to journal › Article › peer-review
  44 Citations (Scopus)

• Prediction consistency and clinical presentations of breast cancer molecular subtypes for Han Chinese population.

  Huang, C. C., Tu, S. H., Lien, H. H., Jeng, J. Y., Liu, J. S., Huang, C. S., Wu, Y. Y., Liu, C. Y., Lai, L. C. & Chuang, E. Y., Sep 19 2012, In: Journal of Translational Medicine. 10 Suppl 1, S10.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• Prediction and Analysis of Antibody Amyloidogenesis from Sequences

  Liaw, C., Tung, C. W. & Ho, S. Y., Jan 15 2013, In: PLoS One. 8, 1, e53235.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  20 Citations (Scopus)

• Predicting young-onset type 2 diabetes mellitus with metabolic syndrome components in healthy young adults

  Wu, C. Z., Chen, J. S., Lin, Y. F., Hsieh, C. H., Lin, J. D., Chang, J. B., Chen, Y. L. & Pei, D., Sep 2018, In: International Journal of Clinical Practice. 72, 9, e13238.

  Research output: Contribution to journal › Article › peer-review

• Predicting ventricular tachyarrhythmia in patients with systolic heart failure based on texture features of the gray zone from contrast-enhanced magnetic resonance imaging

  Pham, V. T., Lin, C., Tran, T. T., M. Su, M. Y., Lin, Y. K., Nien, C. T., I. Tseng, W. Y., Lin, J. L., Lo, M. T. & Lin, L. Y., Dec 2020, In: Journal of Cardiology. 76, 6, p. 601-609 9 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Predicting trends of community participation after hospital discharge for younger adults after stroke

  Chang, F-H., Lin, Y-N., Liou, T-H. & Ni, P-S., Feb 9 2022, (E-pub ahead of print) In: Annals of Physical and Rehabilitation Medicine. p. 101644

  Research output: Contribution to journal › Article › peer-review

• Predicting the Usage Intention of Social Network Games: An Intrinsic-Extrinsic Motivation Theory Perspective

  Chang, C-C. & Chin, Y-C., 2011, In: International Journal of Online Marketing. 1, 3, p. 29-37

  Research output: Contribution to journal › Article › peer-review

• Predicting the survivals and favorable neurologic outcomes after targeted temperature management by artificial neural networks

  Chiu, W. T., Chung, C. C., Huang, C. H., Chien, Y. S., Hsu, C. H., Wu, C. H., Wang, C. H., Chiu, H. W. & Chan, L., Feb 2022, In: Journal of the Formosan Medical Association.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Predicting the severity and prognosis of trismus after intensity-modulated radiation therapy for oral cancer patients by magnetic resonance imaging

  Hsieh, L. C., Chen, J. W., Wang, L. Y., Tsang, Y. M., Shueng, P. W., Liao, L. J., Lo, W. C., Lin, Y. C., Tseng, C. F., Kuo, Y. S., Jhuang, J. Y., Tien, H. J., Juan, H. F. & Hsieh, C. H., Mar 21 2014, In: PLoS One. 9, 3, e92561.

  Research output: Contribution to journal › Article › peer-review
  16 Citations (Scopus)

• Predicting the risk for colorectal cancer with personal characteristics and fecal immunochemical test

  Li, W., Zhao, L. Z., Ma, D. W., Wang, D. Z., Shi, L., Wang, H. L., Dong, M., Zhang, S. Y., Cao, L., Zhang, W. H., Zhang, X. P., Zhang, Q. H., Yu, L., Qin, H., Wang, X. M. & Chen, S. L. S., May 1 2018, In: Medicine (United States). 97, 18, e0529.

  Research output: Contribution to journal › Article › peer-review
  9 Citations (Scopus)

• Predicting the Progression of Chronic Kidney Disease?

  Wu, M-S. & Hsu, C. Y., 2012, In: Acta Nephrologica. 26, 4, p. 196-197 2 p.

  Research output: Contribution to journal › Article › peer-review

• Predicting the mortality of necrotizing fasciitis with blood pressure and white blood cell count

  Fann, W. C., Chiang, I. J., Hsiao, C. T., Hong, Y. C. & Chen, I. C., Aug 2012, In: Surgical Practice. 16, 3, p. 103-108 6 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning

  Cromwell, E. A., Osborne, J. C. P., Unnasch, T. R., Basáñez, M., Gass, K. M., Barbre, K. A., Hill, E., Johnson, K. B., Donkers, K. M., Shirude, S., Schmidt, C. A., Adekanmbi, V., Adetokunboh, O. O., Afarideh, M., Ahmadpour, E., Beshir Ahmed, M., Yihunie Akalu, T., Al-Aly, Z., Alanezi, F. M., Alanzi, T. M. & 204 others, Alipour, V., Andrei, C. L., Ansari, F., Ansha, M. G., Anvari, D., Yaw Appiah, S. C., Arabloo, J., Arnold, B. F., Ausloos, M., Ayanore, M. A., Amin Baig, A., Banach, M., Barac, A., Barnighausen, T. W., Bayati, M., Bhattacharyya, K., Bhutta, Z. A., Bibi, S., Bijani, A., Bohlouli, S., Bohluli, M., Brady, O. J., Bragazzi, N. L., Butt, Z. A., Carvalho, F., Chatterjee, S., Chattu, V. K., Chattu, S. K., Cormier, N. M., Dahlawi, S. M. A., Damiani, G., Daoud, F., Darwesh, A. M., Daryani, A., Deribe, K., Dharmaratne, S. D., Diaz, D., Do, H. T., El Sayed Zak, M., El Tantawi, M., Elemineh, D. A., Faraj, A., Harandi, M. F., Fatahi, Y., Feigin, V. L., Fernandes, E., Foigt, N. A., Foroutan, M., Franklin, R. C., Mohialdeen Gubari, M. I., Guido, D., Guo, Y., Haj-Mirzaian, A., Abdullah, K. H., Hamidi, S., Herteliu, C., De Hidru, H. D., Higazi, T. B., Hossain, N., Hosseinzadeh, M., Househ, M., Ilesanmi, O. S., Ilic, M. D., Ilic, I. M., Iqbal, U., Naghibi Irvani, S. S., Jha, R. P., Joukar, F., Jozwiak, J. J., Kabir, Z., Kalankesh, L. R., Kalhor, R., Matin, B. K., Karimi, S. E., Kasaeian, A., Kavetskyy, T., Kayode, G. A., Karyani, A. K., Kelbore, A. G., Keramati, M., Khalilov, R., Khan, E. A., Nuruzzaman Khan, M. N., Khatab, K., Khater, M. M., Kianipour, N., Kibret, K. T., Kim, Y. J., Kosen, S., Krohn, K. J., Kusuma, D., Vecchia, C. L., Lansingh Van, C., Lee, P. H., Legrand, K. E., Li, S., Longbottom, J., Abd El Razek, H. M., Abd El Razek, M. M., Maleki, A., Mamun, A. A., Manafi, A., Manafi, N., Mansournia, M. A., Martins-Melo, F. R., Mazidi, M., McAlinden, C., Meharie, B. G., Mendoza, W., Mengesha, E. W., Mengistu, D. T., Mereta, S. T., Mestrovic, T., Miller, T. R., Miri, M., Moghadaszadeh, M., Hafshejani, A. M., Mohammadpourhodki, R., Mohammed, S., Mohammed, S., Moradi, M., Moradzadeh, R., Moraga, P., Mosser, J. F., Naderi, M., Nagarajan, A. J., Naik, G., Negoi, I., Nguyen, C. T., Nguyen, H. L. T., Nguyen, T. H., Nikbakhsh, R., Oancea, B., Olagunju, T. O., Olagunju, A. T., Bali, A. O., Onwujekwe, O. E., Pana, A., Pourjafar, H., Rahim, F., Ur Rahman, M. H., Rathi, P., Rawaf, S., Rawaf, D. L., Rawassizadeh, R., Resnikoff, S., Reta, M. A., Rezapour, A., Rubagotti, E., Rubino, S., Sadeghi, E., Saghafipour, A., Sajadi, S. M., Samy, A. M., Sarmiento-Suárez, R., Sawhney, M., Schipp, M. F., Shaheen, A. A., Shaikh, M. A., Shamsizadeh, M., Sharafi, K., Sheikh, A., Kumar Shetty, B. S., Shin, J. I., Shivakumar, K. M., Simonetti, B., Singh, J. A., Skiadaresi, E., Soheili, A., Soltani, S., Spurlock, E. E., Sufiyan, MA. B., Tabuchi, T., Tapak, L., Thompson, R. L., Thomson, A. J., Traini, E., Tran, B. X., Ullah, I., Ullah, S., Uneke, C. J., Unnikrishnan, B., Uthman, O. A., Melchers, N. V. S. V., Violante, F. S., Wolde, H. F., Wonde, T. E., Yamada, T., Yaya, S., Yazdi Feyzabadi, V., Yip, P., Yonemoto, N., Yousof, H. A. S. A., Yu, C., Yu, Y., Yusefzadeh, H., Zaki, L., Zaman, S. B., Zamanian, M., Zhang, Z. J., Zhang, Y., Ziapour, A., Hay, S. I. & Pigott, D. M., Jul 2021, In: PLoS Neglected Tropical Diseases. 15, 7, e0008824.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Predicting the effectiveness of the Finnish population-based colorectal cancer screening programme

  Chiu, S. Y. H., Malila, N., Yen, A. M. F., Chen, S. L. S., Fann, J. C. Y. & Hakama, M., Dec 1 2017, In: Journal of Medical Screening. 24, 4, p. 182-188 7 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Predicting the arrhythmogenic foci of atrial fibrillation before atrial transseptal procedure: Implication for catheter ablation

  Lee, S. H., Tai, C. T., Lin, W. S., Tsai, C. F., Hsieh, M. H., Yu, W. C., Lin, Y. K., Chen, C. C., Ding, Y. A., Chang, M. S. & Chen, S. A., 2000, In: Journal of Cardiovascular Electrophysiology. 11, 7, p. 750-757 8 p.

  Research output: Contribution to journal › Article › peer-review
  41 Citations (Scopus)

• Predicting short-term disease progression among HIV-infected patients in Asia and the Pacific region: Preliminary results from the TREAT Asia HIV Observational Database (TAHOD)

  Zhou, J., Kumarasamy, N., Zhang, F., Zhao, H., Han, N., Li, P., Lee, M. P., Chen, Y. M. A., Wong, W. W., Wang, D. C. C., Anand, S., Cecelia, J. A., Pujari, S., Joshi, K., Lee, C. K. C., Kaur, S., Kamarulzaman, A., Ditangco, R., Capistrano, R., Paton, N. I. & 15 others, Yap, M., Phanuphak, P., Siangphe, U., Khongphattanayothing, M., Vibhagool, A., Kiertiburanakul, S., Kiatatchasai, W., Chuah, J., Fankhauser, W., Dickson, B., Frost, K., Wong, S., Cooper, D. A., Law, M. G. & Petoumenos, K., May 1 2005, In: HIV Medicine. 6, 3, p. 216-223 8 p.

  Research output: Contribution to journal › Article › peer-review
  34 Citations (Scopus)

• Predicting severe outcomes in Covid-19 related illness using only patient demographics, comorbidities and symptoms

  Ryan, C., Minc, A., Caceres, J., Balsalobre, A., Dixit, A., Ng, B. K. P., Schmitzberger, F., Syed-Abdul, S. & Fung, C., 2020, (Accepted/In press) In: American Journal of Emergency Medicine. 45, p. 378-384 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  9 Citations (Scopus)

• Predicting severe enterovirus 71 infection: Age, comorbidity, and parental behavior matter

  Huang, W. C., Shih, W. L., Yang, S. C., Yen, T. Y., Lee, J. T., Huang, Y. C., Li, C. C., Hsieh, Y. C., Lin, T. Y., Chang, L. Y. & Huang, L. M., Feb 1 2017, In: Journal of Microbiology, Immunology and Infection. 50, 1, p. 10-16 7 p.

  Research output: Contribution to journal › Article › peer-review
  13 Citations (Scopus)

• Predicting RNA-binding sites of proteins using support vector machines and evolutionary information

  Cheng, C. W., Su, E. C. Y., Hwang, J. K., Sung, T. Y. & Hsu, W. L., Dec 12 2008, In: BMC Bioinformatics. 9, SUPPL. 12, S6.

  Research output: Contribution to journal › Article › peer-review
  98 Citations (Scopus)

• Predicting results of mycobacterial culture on sputum smear reversion after anti-tuberculous treatment: A case control study

  Shu, C. C., Wang, J. T., Lee, C. H., Wang, J. Y., Lee, L. N. & Yu, C. J., Mar 6 2010, In: BMC Infectious Diseases. 10, 48.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Predicting protein subnuclear localization using GO-amino-acid composition features

  Huang, W. L., Tung, C. W., Huang, H. L. & Ho, S. Y., Nov 1 2009, In: BioSystems. 98, 2, p. 73-79 7 p.

  Research output: Contribution to journal › Article › peer-review
  27 Citations (Scopus)

• Predicting post-treatment survivability of patients with breast cancer using Artificial Neural Network methods

  Wang, T. N., Cheng, C. H. & Chiu, H. W., 2013, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. p. 1290-1293 4 p. 6609744

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  14 Citations (Scopus)

• Predicting postoperative vomiting among orthopedic patients receiving patient-controlled epidural analgesia using SVM and LR

  Wu, H. Y., Gong, C. S. A., Lin, S. P., Chang, K. Y., Tsou, M. Y. & Ting, C. K., Jun 1 2016, In: Scientific Reports. 6, 27041.

  Research output: Contribution to journal › Article › peer-review
  12 Citations (Scopus)

• Predicting postoperative pain by preoperative pressure pain assessment

  Hsu, Y. W., Somma, J., Hung, Y. C., Tsai, P. S., Yang, C. H. & Chen, C. C., Sep 2005, In: Anesthesiology. 103, 3, p. 613-618 6 p.

  Research output: Contribution to journal › Article › peer-review
  114 Citations (Scopus)

• Predicting PET cerebrovascular reserve with deep learning by using baseline MRI: A pilot investigation of a drug-free brain stress test

  Chen, D. Y. T., Ishii, Y., Fan, A. P., Guo, J., Zhao, M. Y., Steinberg, G. K. & Zaharchuk, G., Sep 2020, In: Radiology. 296, 3, p. 627-637 11 p.

  Research output: Contribution to journal › Article › peer-review
  8 Citations (Scopus)

• Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea from 2020 to 2021: Infodemiology Study

  Husnayain, A., Shim, E., Fuad, A. & Su, E. C. Y., Dec 2021, In: Journal of Medical Internet Research. 23, 12, e34178.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting mortality in patients with ''malignant'' middle cerebral artery infarction using susceptibility-weighted magnetic resonance imaging preliminary findings

  Chao, S. P., Chen, C. Y., Tsai, F. Y., Chan, W. P. & Chen, C. I., Mar 4 2016, In: Medicine (United States). 95, 8, e2781.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Predicting metabolic syndrome with machine learning models using a decision tree algorithm: Retrospective cohort study

  Yu, C. S., Lin, Y. J., Lin, C. H., Wang, S. T., Lin, S. Y., Lin, S. H., Wu, J. L. & Chang, S. S., Mar 2020, In: JMIR Medical Informatics. 8, 3, e17110.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  10 Citations (Scopus)

• Predicting metabolic syndrome by using hematogram models in elderly women

  Liu, H., Hsu, C. H., Lin, J. D., Hsieh, C. H., Lian, W. C., Wu, C. Z., Pei, D. & Chen, Y. L., 2014, In: Platelets. 25, 2, p. 97-101 5 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Predicting maximal oxygen uptake from a 3-minute progressive knee-ups and step test

  Chung, Y. C., Huang, C. Y., Wu, H. J., Kan, N. W., Ho, C. S., Huang, C. C. & Chen, H. T., Mar 15 2021, In: PeerJ. 9

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Predicting malignancy: Subsolid nodules detected on LDCT in a surgical cohort of East Asian patients

  Wang, Y. H., Chen, C. F., Lin, Y. K., Chiang, C., Tzao, C. & Yen, Y., Aug 1 2020, In: Journal of Thoracic Disease. 12, 8, p. 4315-4326 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Predicting major neurologic improvement and long-term outcome after thrombolysis using artificial neural networks

  Chung, C. C., Hong, C. T., Huang, Y. H., Su, E. C. Y., Chan, L., Hu, C. J. & Chiu, H. W., Mar 15 2020, In: Journal of the Neurological Sciences. 410, 116667.

  Research output: Contribution to journal › Article › peer-review
  9 Citations (Scopus)

• Predicting Lung Cancer Occurrence in Never-Smoking Females in Asia: TNSF-SQ, a Prediction Model

  Chien, L. H., Chen, C. H., Chen, T. Y., Chang, G. C., Tsai, Y. H., Hsiao, C. F., Chen, K. Y., Su, W. C., Wang, W. C., Huang, M. S., Chen, Y. M., Chen, C. Y., Liang, S. K., Chen, C. Y., Wang, C. L., Lee, M. H., Chung, R. H., Tsai, F. Y., Hu, J. W., Katki, H. A. & 8 others, Chatterjee, N., Chanock, S. J., Rothman, N., Lan, Q., Yang, P. C., Chen, C. J., Chang, I. S. & Hsiung, C. A., Feb 1 2020, In: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 29, 2, p. 452-459 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  9 Citations (Scopus)

• Predicting Long-Term Outcome After Traumatic Brain Injury Using Repeated Measurements of Glasgow Coma Scale and Data Mining Methods

  Lu, H. Y., Li, T. C., Tu, Y. K., Tsai, J. C., Lai, H. S. & Kuo, L. T., Jan 31 2015, In: Journal of Medical Systems. 39, 2, 14.

  Research output: Contribution to journal › Article › peer-review
  25 Citations (Scopus)

• Predicting long-term mortality in patients with angina across the spectrum of dysglycemia: A machine learning approach

  Li, Y. H., Sheu, W. H. H., Yeh, W. C., Chang, Y. C. & Lee, I. T., Jun 2021, In: Diagnostics. 11, 6, 1060.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension

  Barsasella, D., Gupta, S., Malwade, S., Aminin, Susanti, Y., Tirmadi, B., Mutamakin, A., Jonnagaddala, J. & Syed-Abdul, S., Oct 2021, In: International Journal of Medical Informatics. 154, 104569.

  Research output: Contribution to journal › Article › peer-review

• 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., Jan 2017, In: PLoS ONE. 12, 1, e0165756.

  Research output: Contribution to journal › Article › peer-review
  37 Citations (Scopus)

• Predicting intentions of nurses to adopt patient personal health records: A structural equation modeling approach

  Chung, M. H., Ho, C. H. & Wen, H. C., Nov 1 2016, In: Computer Methods and Programs in Biomedicine. 136, p. 45-53 9 p.

  Research output: Contribution to journal › Article › peer-review
  10 Citations (Scopus)

• Predicting information-seeking intention in academic digital libraries

  Chang, C. C., Lin, C. Y., Chen, Y. C. & Chin, Y. C., Jun 5 2009, In: Electronic Library. 27, 3, p. 448-450 3 p.

  Research output: Contribution to journal › Article › peer-review
  22 Citations (Scopus)

• Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks

  Lin, C. S., Chiu, J. S., Hsieh, M. H., Mok, M. S., Li, Y. C. & Chiu, H. W., Nov 2008, In: Computer Methods and Programs in Biomedicine. 92, 2, p. 193-197 5 p.

  Research output: Contribution to journal › Article › peer-review
  33 Citations (Scopus)

• Predicting hyperoxia-induced lung injury from associated intestinal and lung dysbiosis in neonatal mice

  Chen, C. M., Chou, H. C., Yang, Y. C. S. H., Su, E. C. Y. & Liu, Y. R., 2021, (Accepted/In press) In: Neonatology. 118, 2, p. 163-173 11 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)