ML	machine learning
PBRTQC	patient-based real-time quality control
EDTA	ethylenediaminetetraacetic acid
IQC	internal quality control
QC	quality control
MA	moving average
MovSD	moving standard deviation
MM	moving median
AI	artificial intelligence
DT	decision tree
RF	random forest
SVM	support vector machine
k-NN	k-nearest neighbour
BN	Bayesian network
NN	neural network
ANN	artificial neural network
PCA	principal components analysis
CUSUM	cumulative sum
CSLR	CUSUM logistic regression
ALP	alkaline phosphatase
ALT	alanine transaminase
AST	aspartate transaminase
EWMA	exponentially weighted moving average
RARTQC	regression-adjusted real-time quality control
tNAPed	trimmed average of number of patients affected before detection
MLiQC	machine learning internal quality control
HD50	Harell-Davis median
CVi	intra-individual coefficient of variation
CVg	between-individual coefficient of variation
AUC	area under curve
AUROC	area under the receiver operating characteristics curve
PSA	prostate specific antigen
MovSO	moving sum of the outputs
MLQC	machine learning quality control
IF	isolation forest
CART	classification and regression tree
mNL-PBRTQC	machine-learning non-linear regression-adjusted patient-based real-time quality control
L-RARTQC	linear regression-adjusted real-time quality control
MLP	multilayer perceptron
ln(MME)	natural logarithm of moving median
Sqrt(MA)	square-root of moving average
AoN	average of normals
ln(MA)	natural logarithm of moving average
Sqrt(MME)	square-root of moving median
ln(x).r	natural logarithm of result
Sqrt(x).r	square-root of result
UMAP	uniform manifold approximation and projection
WBIT	wrong blood in tube
ACCORD trial	Action to Control Cardiovascular Risk in Diabetes trial
NHANES	National Health and Nutrition Examination Survey
DPP	Diabetes Prevention Program
XGB/XGBoost	extreme gradient boosting
DBN	deep belief network
RCV	reference change value
GBDT	gradient boosted decision tree
wCDI	weighted calculated difference index
GGT	gamma-glutamyl transferase
SMOTE	synthetic minority over-sampling technique
ADASYN	adaptive synthetic sampling approach
IFCC	International Federation of Clinical Chemistry and Laboratory Medicine
MHRA	Medicines and Healthcare products Regulatory Agency
FDA	Food and Drug Administration