TY - JOUR AU - Ye, J. AU - Yao, L. AU - Shen, J. AU - Janarthanam, R. AU - Luo, Y. PY - 2020 DA - 2020// TI - Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes JO - BMC Med Inform Decis Mak UR - https://doi.org/10.1186/s12911-020-01318-4 DO - 10.1186/s12911-020-01318-4 ID - Ye2020 ER - TY - JOUR AU - Peng, J. AU - Zhao, M. AU - Havrilla, J. AU - Liu, C. AU - Weng, C. AU - Guthrie, W. AU - Schultz, R. AU - Wang, K. AU - Zhou, Y. PY - 2020 DA - 2020// TI - Natural Language Processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder JO - BMC Med Inform Decis Mak. UR - https://doi.org/10.1186/s12911-020-01352-2 DO - 10.1186/s12911-020-01352-2 ID - Peng2020 ER - TY - JOUR AU - Li, R. AU - Liu, Z. PY - 2020 DA - 2020// TI - Stress detection using deep neural networks JO - BMC Med Inform Decis Mak UR - https://doi.org/10.1186/s12911-020-01299-4 DO - 10.1186/s12911-020-01299-4 ID - Li2020 ER - TY - JOUR AU - Hong, J. AU - Davoudi, A. AU - Mowery, D. PY - 2020 DA - 2020// TI - Annotation and extraction of age and temporally-related events from clinical histories JO - BMC Med Inform Decis Mak UR - https://doi.org/10.1186/s12911-020-01333-5 DO - 10.1186/s12911-020-01333-5 ID - Hong2020 ER - TY - JOUR AU - Rao, G. AU - Choudhury, S. AU - Lingras, P. AU - Savage, D. AU - Mago, V. PY - 2020 DA - 2020// TI - SURF: identifying and allocating resources during out-of-hospital cardiac arrest JO - BMC Med Inform Decis Mak UR - https://doi.org/10.1186/s12911-020-01334-4 DO - 10.1186/s12911-020-01334-4 ID - Rao2020 ER - TY - JOUR AU - Tassone, J. AU - Yan, P. AU - Simpson, M. AU - Mendhe, C. AU - Mago, V. AU - Choudhury, S. PY - 2020 DA - 2020// TI - Utilizing deep learning and graph mining to identify drug use on twitter data JO - BMC Med Inform Decis Mak UR - https://doi.org/10.1186/s12911-020-01335-3 DO - 10.1186/s12911-020-01335-3 ID - Tassone2020 ER - TY - JOUR AU - Kamal, S. A. AU - Yin, C. AU - Qian, B. AU - Zhang, P. PY - 2020 DA - 2020// TI - An interpretable risk prediction model for healthcare with pattern attention JO - BMC Med Inform Decis Mak UR - https://doi.org/10.1186/s12911-020-01331-7 DO - 10.1186/s12911-020-01331-7 ID - Kamal2020 ER - TY - JOUR AU - Chen, C. C. AU - Tsui, F. R. PY - 2020 DA - 2020// TI - Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends JO - BMC Med Inform Decis Mak. UR - https://doi.org/10.1186/s12911-020-01349-x DO - 10.1186/s12911-020-01349-x ID - Chen2020 ER - TY - STD TI - Ding M, Luo Y. Unsupervised phenotyping of sepsis using non-negative matrix factorization on temporal trends from a multivariate panel of physiological measurements. BMC Med Inform Decis Mak. 2021 (in press). ID - ref9 ER - TY - STD TI - Kothiya P, Wu H, Haas D, Burnham S, Ray B, Quinney S. Identifying risk factors of preterm birth and perinatal mortality using statistical and machine learning approaches. BMC Med Inform Decis Mak. 2021 (in press). ID - ref10 ER -