Z. Koh

发表

Machine learning dimensionality reduction for heart rate n-variability (HRnV) based risk stratification of chest pain patients in the emergency department

M. L. Chee, Nan Liu, M. E. Hock Ong, 2020, medRxiv.

Safety and Efficacy of CarbonCool Half-Body Vest for HAZMAT Decontamination Crews Wearing Personal Protective Equipment: A Pilot Study

M. Leong, Z. Koh, P. J. M. Tay, 2020, Prehospital and Disaster Medicine.

Title Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events

Jiuwen Cao, Fu Wah Andrew Ho, Z. Koh, 2019 .

Heart rate n-variability (HRnV) measures for prediction of mortality in sepsis patients presenting at the emergency department

Marcel Lucas Chee, M. L. Chee, C. Niu, 2021, medRxiv.

Combining Heart Rate Variability with Disease Severity Score Variables for Mortality Risk Stratification in Septic Patients Presenting at the Emergency Department

M. Ong, Nan Liu, T. Tagami, 2019, International journal of environmental research and public health.

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

B. Chakraborty, P. Pek, M. Ong, 2020, BMC Cardiovascular Disorders.

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

B. Chakraborty, P. Pek, M. Ong, 2019, bioRxiv.

Clinical scores for risk stratification of chest pain patients in the emergency department: an updated systematic review

P. Pek, M. Ong, Nan Liu, 2018 .

Comparing intraosseous and intravenous access for out-of-hospital cardiac arrest in Singapore

M. Ong, Y. Ng, Z. Koh, 2016 .

Machine Learning Dimensionality Reduction Showed Marginal Performance Benefit Over Stepwise Regression for Risk Stratification of Chest Pain Patients in the Emergency Department

Marcel Lucas Chee, M. L. Chee, M. Ong, 2020 .

Clinical evaluation of the use of laryngeal tube verses laryngeal mask airway for out-of-hospital cardiac arrest by paramedics in Singapore.

M. Ong, J. Allen, Y. Ng, 2020, Singapore medical journal.

Improving the quality of cardiopulmonary resuscitation by training dedicated cardiac arrest teams incorporating a mechanical load-distributing device at the emergency department.

M. Ong, S. Pothiawala, S. Fook-Chong, 2013, Resuscitation.

The Effect of Availability of Manpower on Trauma Resuscitation Times in a Tertiary Academic Hospital

M. Ong, T. Wong, N. Nadkarni, 2016, PloS one.

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

Nan Liu, Marcus Eng Hock Ong, Zhi Xiong Koh, 2016, Critical Care.

Heart Rate Variability Analysis in Patients Who Have Bradycardia Presenting to the Emergency Department with Chest Pain.

Nan Liu, M. E. Hock Ong, Z. Koh, 2017, The Journal of emergency medicine.

Integrating heart rate variability, vital signs, electrocardiogram, and troponin to triage chest pain patients in the ED

M. Ong, Nan Liu, M. L. Heldeweg, 2017, The American journal of emergency medicine.

Comparison of inhalational methoxyflurane (Penthrox®) and intramuscular tramadol for prehospital analgesia.

M. Ong, Y. Ng, S. Fook-Chong, 2020, Singapore medical journal.

Clinical Evaluation of Intravenous Alone versus Intravenous or Intraosseous Access for Treatment of Out-of-Hospital Cardiac Arrest.

M. Ong, Y. Ng, S. Fook-Chong, 2020, Resuscitation.

EZ-IO in the ED: an observational, prospective study comparing flow rates with proximal and distal tibia intraosseous access in adults.

M. Ong, Z. Koh, S. Chong, 2012, The American journal of emergency medicine.

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

Nan Liu, Zhiping Lin, Marcus Eng Hock Ong, 2014, BMC Medical Informatics and Decision Making.

Patient Outcome Prediction with Heart Rate Variability and Vital Signs

Nan Liu, Zhiping Lin, Wee Ser, 2011, J. Signal Process. Syst..

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

Nan Liu, Marcus Eng Hock Ong, Dagang Guo, 2018, Medicine.

Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients

Nan Liu, Zhiping Lin, Beom-Seok Oh, 2015, Comput. Biol. Medicine.

Risk stratification for prediction of adverse coronary events in emergency department chest pain patients with a machine learning score compared with the TIMI score.

Nan Liu, Zhiping Lin, Marcus Eng Hock Ong, 2014, International journal of cardiology.

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

Nan Liu, Calvin J. Chiew, Ting Hway Wong, 2019, Medicine.

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

Zhiping Lin, Marcus Eng Hock Ong, Nur Shahidah, 2013, The American journal of emergency medicine.

Comparing HEART, TIMI, and GRACE scores for prediction of 30-day major adverse cardiac events in high acuity chest pain patients in the emergency department.

Nan Liu, Marcus Eng Hock Ong, Zhi Xiong Koh, 2016, International journal of cardiology.

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

Zhi Xiong Koh, M. E. Hock Ong, S. Yap, 2012, Critical Care.

Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department

Mengling Feng, Nan Liu, Calvin J Chiew, 2020, AMIA.

Development of a heart rate variability and complexity model in predicting the need for life-saving interventions amongst trauma patients

M. Ong, Nan Liu, T. Tagami, 2019, Burns & Trauma.

Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events

Nan Liu, Zhiping Lin, Jiuwen Cao, 2017, Cognitive Computation.

Analysis of patient outcome using ECG and extreme learning machine ensemble

Nan Liu, Zhiping Lin, Jiuwen Cao, 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

Effects of two new features of approximate entropy and sample entropy on cardiac arrest prediction

Nan Liu, Zhiping Lin, Wee Ser, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Validation of a risk scoring model for prediction of acute cardiac complications in chest pain patients presenting to the Emergency Department.

Zhiping Lin, M. Ong, N. Shahidah, 2014, International journal of cardiology.

Risk Stratification with Extreme Learning Machine: A Retrospective Study on Emergency Department Patients

Nan Liu, Jiuwen Cao, Marcus Eng Hock Ong, 2014 .

Risk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data

Nan Liu, Zhiping Lin, Bilal Mirza, 2014, IEEE Journal of Biomedical and Health Informatics.

An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction

Nan Liu, Zhiping Lin, Wee Ser, 2012, IEEE Transactions on Information Technology in Biomedicine.

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 modified early warning score

Nan Liu, Zhiping Lin, Marcus Eng Hock Ong, 2012, Critical Care.

How accurate are vital signs in predicting clinical outcomes in critically ill emergency department patients

Nur Shahidah, Arul Earnest, M. Ong, 2013, European journal of emergency medicine : official journal of the European Society for Emergency Medicine.

Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department

M. L. Chee, M. Ong, Nan Liu, 2021, BMC Medical Research Methodology.

Risk stratification of patients with atrial fibrillation in the emergency department.

M. Ong, Z. Koh, Huihua Li, 2020, The American journal of emergency medicine.

HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis

G. Clifford, Chengyu Liu, A. Ho, 2023, J. Open Source Softw..

Landmark recognition with sparse representation classification and extreme learning machine

Nan Liu, Jiuwen Cao, Chun Yin, 2015, J. Frankl. Inst..

HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis pdf

Gari D. Clifford, Dagang Guo, Andrew Fu Wah Ho, 2021, ArXiv.

Heart Rate n-Variability (HRnV): A Novel Representation of Beat-to-Beat Variation in Electrocardiography

Nan Liu, Marcus Eng Hock Ong, Dagang Guo, 2018, bioRxiv.

Evolutionary Voting-Based Extreme Learning Machines

Zhiping Lin, Jiuwen Cao, Nan Liu, 2014 .

Prediction of Adverse Cardiac Events in Emergency Department Patients with Chest Pain Using Intelligent Variable Selection and Heart Rate Variability

Nan Liu, Marcus Eng Hock Ong, Benjamin Haaland, 2014 .

Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department.

M. E. Hock Ong, N. Shahidah, Z. Koh, 2013, World journal of emergency medicine.

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

M. Ong, Nan Liu, S. Fook-Chong, 2019, Medicine.

Validation of the ROSC After Cardiac Arrest (RACA) Score in Pan-Asian Out-of-Hospital Cardiac Arrest Patients.

Han Nee Gan, P. Pek, M. Ong, 2020, Resuscitation.

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

M. Ong, Nan Liu, T. Tagami, 2019, PloS one.

Prediction of ROSC After Cardiac Arrest Using Machine Learning

Nan Liu, Zhi Xiong Koh, Hideharu Tanaka, 2020, MIE.

Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events

Zhiping Lin, Jiuwen Cao, M. Ong, 2017, Cognitive Computation.

Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department.

M. E. Hock Ong, N. Shahidah, Z. Koh, 2013, World journal of emergency medicine.

Poor performance of the modifi ed early warning score for predicting mortality in critically ill patients presenting to an emergency department

M. Ong, N. Shahidah, Z. Koh, 2013 .

Febrile infants risk score at triage (FIRST) for the early identification of serious bacterial infections

G. Ong, S. Chong, Z. Koh, 2023, Scientific Reports.