Table A5.
SN | Abb * | Definition | SN | Abb * | Definition |
---|---|---|---|---|---|
1 | ACC | American college of cardiology | 42 | IPN | Intraplaque neovascularization |
2 | AD | Alzheimer’s | 43 | KNN | K-nearest neighbor |
3 | AHA | American heart association | 44 | LBBM | Laboratory-based biomarker |
4 | AI | Artificial intelligence | 45 | LP | Label Powerset |
5 | ANOVA | Analysis of variance | 46 | LSTM | Long short-term memory network |
6 | APG | Acceleration Plethysmogram | 47 | LVD | Large vessel disease |
7 | ASCVD | Atherosclerotic cardiovascular disease | 48 | MCI | Mild cognitive impairment |
8 | AUC | Area-under-the-curve | 49 | MedUSE | Medication use |
9 | BCVD | Binary CVD | 50 | MI | Myocardial Infarction |
10 | BMI | Body mass index | 51 | ML | Machine learning |
11 | BR | Binary recursive | 52 | MLARM | Multi-label adaptive resonance asso & map |
12 | CAC | Coronary artery calcification | 53 | MLkNN | Multi-label k nearest neighbor |
13 | RetiCAC | Deep learning Retinal CAC score | 54 | MPH | Maximum plaque height |
14 | CAD | Coronary artery disease | 55 | MRI | Magnetic resonance imaging |
15 | CAS | Coronary artery syndrome | 56 | NPV | Negative predictive value |
16 | CC | Classifier chain | 57 | Non-ML | Non-machine learning |
17 | CCVRC | Conventional cardiovascular risk cal # | 58 | OBBM | Office-based biomarker |
18 | CHD | Coronary Heart Disease | 59 | PCA | principal component analysis |
19 | CHD | Chronic Heart Conditions | 60 | PCE | Pooled cohort equation |
20 | cIMT | Carotid intima-media thickness | 61 | PE | Performance evaluation matrices |
21 | CKD | Chronic kidney disease | 62 | PMCI | Progressive MCI |
22 | CT | Computed tomography | 63 | PPV | Positive predictive value |
23 | CUSIP | Carotid ultrasound image phenotype | 64 | PTC | Plaque tissue characterization |
24 | CV | Cross-validation | 65 | QRISK3 | QResearch cardiovascular risk algorithm |
25 | CVD | Cardiovascular disease | 66 | RA | Rheumatoid arthritis |
26 | CVE | Cardiovascular events | 67 | RakEL | Random k-label set |
27 | DL | Deep learning | 68 | #RC | Risk classes |
28 | DM | Diabetes mellitus | 69 | RF | Random forest |
29 | DT | Decision tree | 70 | RoB | Risk-of-bias |
30 | ECG | Electrocardiogram | 71 | ROC | Receiver operating-characteristics |
31 | EEGS | Event-equivalent gold standard | 72 | RRS | Reynolds risk score |
32 | ESC | European society of cardiology | 73 | SCD | Sudden cardiac death |
33 | FH | Family history | 74 | SCG | Seismocardiography (SCG-Z) |
34 | FNR | False-negative rate | 75 | SCORE | Systematic coronary risk evaluation |
35 | FPR | False-positive rate | 76 | SCMI | Significant memory concern |
36 | FRS | Framingham risk score | 77 | SMOTE | Synthetic minority over-sampling tech. |
37 | GCG | Gyrocardiography | 78 | SVM | Support vector machine |
38 | GUI | Graphical user interface | 79 | TPA | Total plaque area |
39 | HTN | Hypertension | 80 | US | Ultrasound |
40 | IM | Image modalities | 81 | WHO | World health organization |
41 | IMTV | Intima-media thickness variability | - | - | - |
SN: Serial Number; Abb *: Abbreviation; # Calculator; & Asso. Associative; Tech.: Technique.