Recent evolutions of machine learning applications in clinical laboratory medicine

S De Bruyne, MM Speeckaert… - Critical Reviews in …, 2021 - Taylor & Francis
Abstract Machine learning (ML) is gaining increased interest in clinical laboratory medicine,
mainly triggered by the decreased cost of generating and storing data using laboratory …

Severe acute kidney injury predicting model based on transcontinental databases: a single-centre prospective study

Q Liang, Y Xu, Y Zhou, X Chen, J Chen, M Huang - BMJ open, 2022 - bmjopen.bmj.com
Objectives There are many studies of acute kidney injury (AKI) diagnosis models lack of
external validation and prospective validation. We constructed the models using three …

[HTML][HTML] Health care analytics with time-invariant and time-variant feature importance to predict hospital-acquired acute kidney injury: observational longitudinal study

HR Chua, K Zheng, A Vathsala, KY Ngiam… - Journal of Medical …, 2021 - jmir.org
Background Acute kidney injury (AKI) develops in 4% of hospitalized patients and is a
marker of clinical deterioration and nephrotoxicity. AKI onset is highly variable in hospitals …

DyHealth: making neural networks dynamic for effective healthcare analytics

K Zheng, S Cai, HR Chua, M Herschel… - Proceedings of the …, 2022 - dl.acm.org
In National University Hospital (NUH) in Singapore, we conduct healthcare analytics that
analyzes heterogeneous electronic medical records (EMR) to support effective clinical …

KIM-1, IL-18, and NGAL, in the Machine Learning Prediction of Kidney Injury among Children Undergoing Hematopoietic Stem Cell Transplantation—A Pilot Study

K Musiał, J Stojanowski, J Miśkiewicz-Bujna… - International Journal of …, 2023 - mdpi.com
Children undergoing allogeneic hematopoietic stem cell transplantation (HSCT) are prone
to developing acute kidney injury (AKI). Markers of kidney damage: kidney injury molecule …

Development and validation of a nomogram to predict the risk of renal replacement therapy among acute kidney injury patients in intensive care unit

JC Peng, Y Wu, SP Xing, ML Zhu, Y Gao… - Clinical and Experimental …, 2023 - Springer
Background There are no universally accepted indications to initiate renal replacement
therapy (RRT) among patients with acute kidney injury (AKI). This study aimed to develop a …

[HTML][HTML] ISCCM Guidelines on Acute Kidney Injury and Renal Replacement Therapy

RC Mishra, K Sodhi, KC Prakash, N Tyagi… - Indian Journal of …, 2022 - ncbi.nlm.nih.gov
Acute kidney injury (AKI) is a complex syndrome with a high incidence and considerable
morbidity in critically ill patients. Renal replacement therapy (RRT) remains the mainstay of …

Cumulative iodinated contrast exposure for computed tomography during acute kidney injury and major adverse kidney events

HR Chua, S Low, TM Murali, ETY Wong, HD He… - European …, 2021 - Springer
Objectives To determine if contrast-enhanced CT imaging performed in patients during their
episode of AKI contributes to major adverse kidney events (MAKE). Methods A propensity …

Elevated Urinary Tissue Inhibitor of Metalloproteinase-2 and Insulin-Like Growth Factor Binding Protein-7 Predict Drug-Induced Acute Kidney Injury

K Akalya, TM Murali, A Vathsala, BW Teo… - Current Drug …, 2022 - ingentaconnect.com
Background: Urinary tissue inhibitor of metalloproteinase-2 (TIMP2) and insulin-like growth
factor binding protein-7 (IGFBP7) predict severe acute kidney injury (AKI) in critical illness …

Risk Management In Intensive Care Units With Artificial Intelligence Technologies: Systematic Review of Prediction Models Using Electronic Health Records

Z Çayırtepe, AC Şenel - Journal of Basic and Clinical Health …, 2022 - dergipark.org.tr
Background and aim: Clinical risk assessments should be made to protect patients from
negative outcomes, and the definition, frequency and severity of the risk should be …