[HTML][HTML] The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review
Background Diabetes mellitus (DM) is a major health concern among children with the
widespread adoption of advanced technologies. However, concerns are growing about the …
widespread adoption of advanced technologies. However, concerns are growing about the …
Lipid profiles and heart failure risk: results from two prospective studies
C Wittenbecher, F Eichelmann, E Toledo… - Circulation …, 2021 - Am Heart Assoc
Rationale: Altered lipid metabolism has been implicated in heart failure (HF) development,
but no prospective studies have examined comprehensive lipidomics data and subsequent …
but no prospective studies have examined comprehensive lipidomics data and subsequent …
[HTML][HTML] Plasma protein biomarkers predict the development of persistent autoantibodies and type 1 diabetes 6 months prior to the onset of autoimmunity
ES Nakayasu, LM Bramer, C Ansong… - Cell Reports …, 2023 - cell.com
Summary Type 1 diabetes (T1D) results from autoimmune destruction of β cells. Insufficient
availability of biomarkers represents a significant gap in understanding the disease cause …
availability of biomarkers represents a significant gap in understanding the disease cause …
Prediction of the development of islet autoantibodies through integration of environmental, genetic, and metabolic markers
BJM Webb‐Robertson, LM Bramer… - Journal of …, 2021 - Wiley Online Library
Abstract Background The Environmental Determinants of the Diabetes in the Young
(TEDDY) study has prospectively followed, from birth, children at increased genetic risk of …
(TEDDY) study has prospectively followed, from birth, children at increased genetic risk of …
EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants
Discovering rare cancer driver genes is difficult because their mutational frequency is too
low for statistical detection by computational methods. EPIMUTESTR is an integrative …
low for statistical detection by computational methods. EPIMUTESTR is an integrative …
Quantitative radiomic features from computed tomography can predict pancreatic cancer up to 36 months before diagnosis
W Chen, Y Zhou, V Asadpour, RA Parker… - Clinical and …, 2023 - journals.lww.com
METHODS: Adults 18 years and older diagnosed with PDAC in 2008–2018 were identified.
Their CT scans 3 months–3 years before the diagnosis date were matched to up to 2 scans …
Their CT scans 3 months–3 years before the diagnosis date were matched to up to 2 scans …
The predictive power of data: machine learning analysis for Covid-19 mortality based on personal, clinical, preclinical, and laboratory variables in a case–control study
M Seyedtabib, R Najafi-Vosough, N Kamyari - BMC Infectious Diseases, 2024 - Springer
Background and purpose The COVID-19 pandemic has presented unprecedented public
health challenges worldwide. Understanding the factors contributing to COVID-19 mortality …
health challenges worldwide. Understanding the factors contributing to COVID-19 mortality …
Prediction of type 1 diabetes at birth: cord blood metabolites vs genetic risk score in the Norwegian Mother, Father, and Child Cohort
Background and aim Genetic markers are established as predictive of type 1 diabetes, but
unknown early life environment is believed to be involved. Umbilical cord blood may reflect …
unknown early life environment is believed to be involved. Umbilical cord blood may reflect …
Machine learning models based on fluid immunoproteins that predict non-AIDS adverse events in people with HIV
Despite the success of antiretroviral therapy (ART), individuals with HIV remain at risk for
experiencing non-AIDS adverse events (NAEs), including cardiovascular complications and …
experiencing non-AIDS adverse events (NAEs), including cardiovascular complications and …
A tree‐based modeling approach for matched case‐control studies
Conditional logistic regression (CLR) is the indisputable standard method for the analysis of
matched case‐control studies. However, CLR is strongly restricted with respect to the …
matched case‐control studies. However, CLR is strongly restricted with respect to the …