Petrick Periyasamy

Biographic Data

ID7032010
NAMEPetrick Periyasamy
GIVEN NAMESPetrick
FAMILY NAMEPeriyasamy
SIGNATUREPERIYASAMY P
AFFILIATIONSUniversity Kebangsaan Malaysia Medical Centre
ORCID0000-0003-4379-9214
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0

  • Managing Covid-19 Pandemic in Teaching Hospitals

    Open AccessZMAWATI MOHAMMED NAW, Azimatun Noor Aizuddin et al.ARTICLEJournal of Ecohumanism2024

    The World Health Organization (WHO) declared the 2019-20 coronavirus disease (COVID-19) outbreak a pandemic on 11th of March 2020. The Ministry of Health, Malaysia has made preparations for the involvement of all government hospitals, including some teaching hospitals. This report elaborates and discusses the early establishment of the Hospital Canselor Tuanku Muhriz Crisis Preparedness and Response Centre (HCTM CPRC), highlighting how teaching h…

  • Anxiety among hospitalized Covid-19 patients

    Open AccessHui Jan Tan, Abdool Alleem Hj Shahren et al.ARTICLEFrontiers in Psychiatry2023

    COVID-19 patients experience a significant disruption in psychosocial functioning due to hospitalization. The burden of anxiety is notably high, compounded by a diagnosis of COVID-19 itself and neurological symptomatology. Early psychiatric referrals are warranted for patients at risk of developing anxiety symptoms

  • Covid-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology

    Open AccessNazrul Anuar Nayan, Choon Jie Yi et al.ARTICLEFrontiers in Public Health2022

    At present, COVID-19 is spreading widely around the world. It causes many health problems, namely, respiratory failure and acute respiratory distress syndrome. Wearable devices have gained popularity by allowing remote COVID-19 detection, contact tracing, and monitoring. In this study, the correlation of photoplethysmogram (PPG) morphology between patients with COVID-19 infection and healthy subjects was investigated. Then, machine learning was u…

  • Correlation of Dengue Warning Signs during Febrile Phase with Rotational Thromboelastometry, Cortisol and Feritin

    Open AccessSyarifah Syahirah Syed Abas, Noralisa Abdul Karim et al.ARTICLEInternational Journal of…2022

    Dengue mortality remains high despite monitoring against warning signs (WS). The associations of WS at febrile phase (FP) and hemorrhage at defervescence with the levels and kinetics of ROTEM, platelet count, cortisol, and ferritin were analyzed. Patients with confirmed dengue serology and WS in two centers were screened ( n = 275) and 62 eligible patients were recruited prospectively over 9 months. "Vomiting" was the commonest WS (62.9%), with s…