User profiles for "author:Kee Yuan Ngiam"
Kee Yuan NgiamNational University Hospital Singapore Verified email at nuhs.edu.sg Cited by 3286 |
Big data and machine learning algorithms for health-care delivery
KY Ngiam, W Khor - The Lancet Oncology, 2019 - thelancet.com
Analysis of big data by machine learning offers considerable advantages for assimilation
and evaluation of large amounts of complex health-care data. However, to effectively use …
and evaluation of large amounts of complex health-care data. However, to effectively use …
[HTML][HTML] Role of artificial intelligence applications in real-life clinical practice: systematic review
Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
[HTML][HTML] What every reader should know about studies using electronic health record data but may be afraid to ask
Coincident with the tsunami of COVID-19–related publications, there has been a surge of
studies using real-world data, including those obtained from the electronic health record …
studies using real-world data, including those obtained from the electronic health record …
Performance of a multigene genomic classifier in thyroid nodules with indeterminate cytology: a prospective blinded multicenter study
DL Steward, SE Carty, RS Sippel, SP Yang… - JAMA …, 2019 - jamanetwork.com
Importance Approximately 20% of fine-needle aspirations (FNA) of thyroid nodules have
indeterminate cytology, most frequently Bethesda category III or IV. Diagnostic surgeries can …
indeterminate cytology, most frequently Bethesda category III or IV. Diagnostic surgeries can …
[HTML][HTML] International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
We leveraged the largely untapped resource of electronic health record data to address
critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19) …
critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19) …
[HTML][HTML] Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study
Background While acute kidney injury (AKI) is a common complication in COVID-19, data on
post-AKI kidney function recovery and the clinical factors associated with poor kidney …
post-AKI kidney function recovery and the clinical factors associated with poor kidney …
[HTML][HTML] AI-assisted decision-making in healthcare: the application of an ethics framework for big data in health and research
Artificial intelligence (AI) is set to transform healthcare. Key ethical issues to emerge with this
transformation encompass the accountability and transparency of the decisions made by AI …
transformation encompass the accountability and transparency of the decisions made by AI …
[HTML][HTML] Reinforcement learning for clinical decision support in critical care: comprehensive review
Background Decision support systems based on reinforcement learning (RL) have been
implemented to facilitate the delivery of personalized care. This paper aimed to provide a …
implemented to facilitate the delivery of personalized care. This paper aimed to provide a …
[HTML][HTML] International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
HG Zhang, A Dagliati, Z Shakeri Hossein Abad… - NPJ digital …, 2022 - nature.com
The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well
characterized in multi-national settings with appropriate controls. We leveraged electronic …
characterized in multi-national settings with appropriate controls. We leveraged electronic …
Medical concept embedding with time-aware attention
Embeddings of medical concepts such as medication, procedure and diagnosis codes in
Electronic Medical Records (EMRs) are central to healthcare analytics. Previous work on …
Electronic Medical Records (EMRs) are central to healthcare analytics. Previous work on …