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References from Automated sample annotation for diabetes mellitus in healthcare integrated biobanking. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Quality management at the national biobanking level - establishing a culture of mutual trust and support: the BBMRI.at example
10.1515/cclm-2019-0491 · 2019 · External reference
Introduction of BD Vacutainer® Barricor™ tubes in clinical biobanking and application of amino acid and cytokine quality indicators to Barricor plasma
10.1515/cclm-2021-0899 · 2022 · External reference
Prevalence and distribution of diabetes mellitus in a maximum care hospital: urgent need for HbA1c-screening
10.1055/s-0043-112653 · 2018 · External reference
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
10.1007/s13755-021-00168-2 · 2022 · External reference
A fusion-based machine learning approach for the prediction of the onset of diabetes
10.3390/healthcare9101393 · 2021 · External reference
A deep learning approach based on convolutional LSTM for detecting diabetes
10.1016/j.compbiolchem.2020.107329 · 2020 · External reference
Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model
10.1007/s11517-021-02333-x · 2021 · External reference
Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective
10.1016/j.cmpb.2022.106773 · 2022 · External reference
A data-driven approach to predicting diabetes and cardiovascular disease with machine learning
10.1186/s12911-019-0918-5 · 2019 · External reference
Hybrid prediction model for type 2 diabetes and hypertension using DBSCAN-based outlier detection, synthetic minority over sampling technique (SMOTE), and random forest
10.3390/app8081325 · 2018 · External reference
Early detection of type 2 diabetes mellitus using machine learning-based prediction models
10.1038/s41598-020-68771-z · 2020 · External reference
Identification of potential type II Diabetes in a large-scale chinese population using a systematic machine learning framework
2020 · External reference
Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study
10.1038/s41598-020-61123-x · 2020 · External reference
Predicting diabetes mellitus with machine learning techniques
10.3389/fgene.2018.00515 · 2018 · External reference
Use of machine learning and routine laboratory tests for diabetes mellitus screening
10.1155/2022/8114049 · 2022 · External reference
10.1136/bmjhci-2023-100894
10.1136/bmjhci-2023-100894 · External reference
3000PA-towards a national reference corpus of German clinical language
2018 · External reference
CDA-compliant section annotation of German-language discharge summaries: guideline development, annotation campaign, section classification
2018 · External reference
Smart medical information technology for healthcare (SMITH)
10.3414/me18-02-0004 · 2018 · External reference
mice: multivariate imputation by chained equations in R
2011 · External reference
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
10.1097/01.mlr.0000182534.19832.83 · 2005 · External reference
Unresolved reference
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Unresolved reference
2020 · External reference
Unresolved reference
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10.1016/j.mayocpiqo.2017.04.005
10.1016/j.mayocpiqo.2017.04.005 · External reference
10.1111/j.1468-0009.2009.00568.x
10.1111/j.1468-0009.2009.00568.x · External reference
Potential overtreatment of diabetes mellitus in older adults with tight glycemic control
10.1001/jamainternmed.2014.7345 · 2015 · External reference
Systematic review of validated case definitions for diabetes in ICD-9-coded and ICD-10-coded data in adult populations
10.1136/bmjopen-2015-009952 · 2016 · External reference
Accuracy and completeness of clinical coding using ICD-10 for ambulatory visits
2017 · External reference
10.1093/jamia/ocv130
10.1093/jamia/ocv130 · External reference
Predictive supervised machine learning models for diabetes mellitus
10.1007/s42979-020-00250-8 · 2020 · External reference
