Risk stratification with extreme learning machine: A retrospective study on emergency department patients

by Liu, N, Cao, J, Koh, Z.X, Pek, P.P, Ong, M.E.H
Published 2020

Evolutionary voting-based extreme learning machines

by Liu, N, Cao, J, Lin, Z, Pek, P.P, Koh, Z.X, Ong, M.E.H
Published 2020

Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department

by Chiew, C.J., Liu, N., Tagami, T., Wong, T.H., Koh, Z.X., Ong, M.E.H., Chung, F.-T..
Published 2021

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection

by Liu, N, Koh, Z.X, Goh, J, Lin, Z, Haaland, B, Ting, B.P, Ong, M.E.H
Published 2020

Validation of the mortality in emergency department sepsis (MEDS) score in a Singaporean cohort

by Pong, J.Z., Koh, Z.X., Samsudin, M.I., Fook-Chong, S., Liu, N., Ong, M.E.H., Abdinia, B..
Published 2021

Combining quick sequential organ failure assessment score with heart rate variability may improve predictive ability for mortality in septic patients at the emergency department

by Prabhakar, S.M., Tagami, T., Liu, N., Samsudin, M.I., Ng, J.C.J., Koh, Z.X., Ong, M.E.H.
Published 2021

A novel cardiovascular risk stratification model incorporating ECG and heart rate variability for patients presenting to the emergency department with chest pain

by Heldeweg, M.L.A, Liu, N, Koh, Z.X, Fook-Chong, S, Lye, W.K, Harms, M, Ong, M.E.H
Published 2020

Heart rate variability risk score for prediction of acute cardiac complications in ED patients with chest pain

by Ong, M.E.H., Goh, K., Fook-Chong, S., Haaland, B., Wai, K.L., Koh, Z.X., Shahidah, N., Lin, Z.
Published 2016

Improved neurologically intact survival with the use of an automated, load-distributing band chest compression device for cardiac arrest presenting to the emergency department

by Hock Ong, M.E, Fook-Chong, S, Annathurai, A, Ang, S.H, Tiah, L, Yong, K.L, Koh, Z.X, Yap, S, Sultana, P
Published 2020

Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the...

by Hock Ong, M.E, Lee Ng, C.H, Goh, K, Liu, N, Koh, Z.X, Shahidah, N, Zhang, T.T, Fook-Chong, S, Lin, Z
Published 2020

The effect of availability of manpower on trauma resuscitation times in a Tertiary Academic Hospital

by Tan T.X.Z., Quek N.X.E., Koh Z.X., Nadkarni N., Singaram K., Ho A.F.W., Ong M.E.H., Wong T.H.
Published 2020

Combining heart rate variability with disease severity score variables for mortality risk stratification in septic patients presenting at the emergency department

by Pong, J.Z., Fook-Chong, S., Koh, Z.X., Samsudin, M.I., Tagami, T., Chiew, C.J., Wong, T.H., Ho, A.F.W., Ong, M.E.H., Liu, N.
Published 2021

A novel heart rate variability based risk prediction model for septic patients presenting to the emergency department

by Samsudin, M.I., Liu, N., Prabhakar, S.M., Chong, S.-L., Kit Lye, W., Koh, Z.X., Guo, D., Rajesh, R., Ho, A.F.W., Ong, M.E.H.
Published 2021

Heart rate n-variability (HRnV) and its application to risk stratification of chest pain patients in the emergency department

by Liu, N., Guo, D., Koh, Z.X., Ho, A.F.W., Xie, F., Tagami, T., Sakamoto, J.T., Pek, P.P., Chakraborty, B., Lim, S.H., Tan, J.W.C., Ong, M.E.H.
Published 2021