Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Z Y Lim"'
Publikováno v:
BMC Health Services Research, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background As most patients are likely to first interface with their community general practitioner (GP) or geriatrician for chronic healthcare conditions, these non-neurologists practitioners are well-placed to diagnose, initiate treatment
Externí odkaz:
https://doaj.org/article/e9a7672162d14f27a176a94552ecb23e
Autor:
Isis Claire Z. Y. Lim, Wilson W. S. Tam, Agata Chudzicka-Czupała, Roger S. McIntyre, Kayla M. Teopiz, Roger C. Ho, Cyrus S. H. Ho
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
BackgroundWith the rise of fragility, conflict and violence (FCV), understanding the prevalence and risk factors associated with mental disorders is beneficial to direct aid to vulnerable groups. To better understand mental disorders depending on the
Externí odkaz:
https://doaj.org/article/3b54b0ae5fc547788ce04b0f14f76c8a
Akademický článek
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Akademický článek
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Publikováno v:
European Heart Journal. 44
Funding Acknowledgements Type of funding sources: None. Introduction Studies investigating the relationship between percutaneous coronary intervention operator volumes and patient adverse events largely, but not consistently, suggest an inverse assoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e55ebb59ae3aa30249930720975953a4
https://doi.org/10.1093/eurheartj/ehac779.093
https://doi.org/10.1093/eurheartj/ehac779.093
Autor:
Julian C K, Tay, Shaw Yang, Chia, David K L, Sim, Ping, Chai, Seet Yoong, Loh, Aland K L, Shum, Sheldon S G, Lee, Patrick Z Y, Lim, Jonathan, Yap
Publikováno v:
Annals of the Academy of Medicine, Singapore. 51(8)
The impact of sex and diabetes mellitus (DM) on patients with heart failure with mildly reduced ejection fraction (HFmrEF) is not well elucidated. This study aims to evaluate sex differences in the clinical profile and outcomes in Asian HFmrEF patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3acfecb9e37947f392265a4f50b733ec
https://pubmed.ncbi.nlm.nih.gov/36047522
https://pubmed.ncbi.nlm.nih.gov/36047522
Akademický článek
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Autor:
Ching-Hui Sia, Bernard P.L. Chan, Yao Hao Teo, Aloysius Sheng-Ting Leow, Benjamin Yong-Qiang Tan, Fan Shuen Tseng, Cheryl Shumin Kow, Wan Yee Kong, Isis Claire Z. Y. Lim, Yao Neng Teo, Nyein Chan Ko Ko, Zi Hui Celeste Ng, Vivek Sharma, Wesley Yeung, Leonard L.L. Yeo
Publikováno v:
Clinical Neuroradiology. 31:1121-1130
Conventional predictive models are based on a combination of clinical and neuroimaging parameters using traditional statistical approaches. Emerging studies have shown that the machine learning (ML) prediction models with multiple pretreatment clinic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc38de3e6ad2793c0e6848bbb530a611
https://doi.org/10.1007/s00062-020-00990-3
https://doi.org/10.1007/s00062-020-00990-3
Autor:
Isis Claire Z. Y. Lim, Yao Hao Teo, Jun Tao Fang, Yao Neng Teo, Jamie S. Y. Ho, Yong Qin Lee, Xintong Chen, Kathleen Hui-Xin Ong, Aloysius S. T. Leow, Andrew Fu-Wah Ho, Yinghao Lim, Ting Ting Low, Ivandito Kuntjoro, Leonard L. L. Yeo, Ching-Hui Sia, Vijay K. Sharma, Benjamin Y. Q. Tan
Publikováno v:
Journal of Clinical Medicine
Volume 12
Issue 3
Pages: 941
Volume 12
Issue 3
Pages: 941
Introduction: Patent foramen ovale (PFO) is a potential source of cardiac embolism in cryptogenic ischemic stroke, but it may also be incidental. Right-to-left shunt (RLS) size may predict PFO-related stroke, but results have been controversial. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7765213b9789a29239aad29f226e6af1
https://doi.org/10.3390/jcm12030941
https://doi.org/10.3390/jcm12030941
Autor:
Yao Hao, Teo, Isis Claire Z Y, Lim, Fan Shuen, Tseng, Yao Neng, Teo, Cheryl Shumin, Kow, Zi Hui Celeste, Ng, Nyein, Chan Ko Ko, Ching-Hui, Sia, Aloysius S T, Leow, Wesley, Yeung, Wan Yee, Kong, Bernard P L, Chan, Vijay K, Sharma, Leonard L L, Yeo, Benjamin Y Q, Tan
Publikováno v:
Clinical neuroradiology. 31(4)
Conventional predictive models are based on a combination of clinical and neuroimaging parameters using traditional statistical approaches. Emerging studies have shown that the machine learning (ML) prediction models with multiple pretreatment clinic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::476369c2bb69b16ef4461bba85a282f9
https://pubmed.ncbi.nlm.nih.gov/33491132
https://pubmed.ncbi.nlm.nih.gov/33491132