Research output per year
Research output per year
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Dive into the research topics where Anuchate Pattanateepapon is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Efficacy of delivery of care with Tele-continuous EEG in critically ill patients: a multicenter randomized controlled trial (Tele-cRCT study) study
Limotai, C., Jirasakuldej, S., Wongwiangiunt, S., Tumnark, T., Suwanpakdee, P., Wangponpattanasiri, K., Rakchue, P., Tungkasereerak, C., Pleumpanupatand, P., Tansuhaj, P., Ekkachon, P., Kittipanprayoon, S., Kerddonfag, A., Pobsuk, T., Pattanateepapon, A., Phanthumchinda, K., Suwanwela, N. C., Thaipisuttikul, I., Boonyapisit, K. & Ingsathit, A. & 44 others, , Dec 2025, In: Critical Care. 29, 1, 15.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Factors Associated with New-Onset Atrial Fibrillation in Thai Adults with Hypertension
Limpijankit, V., Sasiprapha, T., Teza, H., Pattanateepapon, A., Siriyotha, S., Boonmanunt, S., Attia, J. & Thakkinstian, A., 1 Dec 2025, In: American Journal of Hypertension. 38, 12, p. 1076-1087 12 p.Research output: Contribution to journal › Article › peer-review
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Predictive ability of visit-to-visit glucose variability on diabetes complications
Teh, X. R., Looareesuwan, P., Pattanaprateep, O., Pattanateepapon, A., Attia, J. & Thakkinstian, A., Dec 2025, In: BMC Medical Informatics and Decision Making. 25, 1, 134.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study
Wabina, R. S., Looareesuwan, P., Sonsilphong, S., Teza, H., Ponthongmak, W., McKay, G., Attia, J., Pattanateepapon, A., Panitchote, A. & Thakkinstian, A., Dec 2025, In: Journal of Big Data. 12, 1, 95.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?
Piebpien, P., Tansawet, A., Pattanaprateep, O., Pattanateepapon, A., Wilasrusmee, C., Mckay, G. J., Attia, J. & Thakkinstian, A., Nov 2024, In: Journal of International Medical Research. 52, 11Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)