Table 9.

List of acronyms sorted in alphabetic order

Acronym	Definition
AAM	Attention Allocation Measure
AB	AdaBoost
ACE	Automatic Concept-based Explanations
ACSRS	Asymptomatic Carotid Stenosis and Risk of Stroke
AD	Alzheimer Disease
Ada-WHIPS	Adaptive-Weighted High Importance Path Snippets
adjMMD	Adjusted Maximum Mean Discrepancy
AF	Atrial Fibrillation
AI	Artificial Intelligence
AKI	Acute Kidney Injury
ALE	Accumulated Local Effects
ALS	Amyotrophic Lateral Sclerosis
AMI	Acute Myocardial Infarction
ANN	Artificial Neural Network
AUC	Area Under the ROC Curve
BGC	Blood Glucose Concentration
Bi-LSTM	Bidirectional Long Short-Term Memory
BP	Blood Pressure
BT	Body Temperature
CaCE	Causal Concept Effect
CAD	Computer-aided Diagnosis
CAM	Class Activation Mapping
CHO	Carbohydrates
CNN	Convolutional Neural Network
COPD	Chronic Obstructive Pulmonary Disease
CRP	C-Reactive Protein
CTA-TCN	Channel Temporal Attention-Temporal Convolutional Network
CTG	Carditocogram
DeepAISE	Deep Artificial Intelligence Sepsis Expert
DL	Deep Learning
DNN	Deep Neural Network
DS	Dempster-Shafer
DSS	Decision Support System
DTX	Decision Tree eXplainer
EBM	Explainable Boosting Machine
ECG	Electrocardiogram
ED	Emergency Department
EDA	Electrodermal Activity
EEG	Electroencephalogram
EHR	Electronic Health Record
END	Early Neurological Deterioration
FCN	Fully Convolutional Network
FHS	Fetal Health Status
FiLM	Feature-wise Linear Modulation
FoG	Freeze of Gait
FSL	Few-Shot Learning
GBDT	Gradient Boosting Decision Tree
GD	Gradient Descent
GE	Grammar Evolution
GNN	Graph Neural Network
Grad-CAM	Gradient-weighted Class Activation Mapping
GRF	Ground Reaction Force
GRU	Gated Recurrent Unit
HAR	Human Activity Recognition
HF	Heart Failure
HiTANet	Hierarchical Time-aware Attention Network
HR	Heart Rate
HRV	Heart Rate Variability
ICE	Individual Conditional Expectation
ICU	Intensive Care Unit
IML	Interpretable Machine Learning
k-NN	k-Nearest Neighbors
LASSO	Least Absolute Shrinkage and Selection Operator
LAXCAT	Locality-Aware eXplainable Convolutional ATtention network
LC-LSTM-DAE	Locally Connected Long Short-Term Memory Denoising Auto-Encoder
LGP	Linear Genetic Programming
LightGBM	Light Gradient Boosting Machine
LIME	Local Interpretable Model-agnostic Explanations
LIME-SP	LIME Submodular Pick
LONN	Logic-Operator Neuronal Network
LORE	Local Rule-Based Explanations of black-box decision systems
LRP	Layer-wise Relevant Propagation
LSTM	Long Short-Term Memory
LT	Liver Transplantation
MAC-LSTM	Multi-Attention Collaborative Long Short-Term Memory
MCI	Mild Cognitive Impairment
MDA	Mean Decrease in Accuracy
MDI	Mean Decrease in Impurity
MDW	Medicaid Data Warehouse
MESA	Multi-Ethnic Study of Atherosclerosis
MFCC	Mel-Frequency Cepstral Coefficient
MIMIC	Medical Information Mart for Intensive Care
ML	Machine Learning
MLP	Multi-Layer Perceptron
MMD	Maximum Mean Discrepancy
MTS	Multivariate Time Series
NB	Naïve Bayes
NCD	Non-Communicable Disease
NLP	Natural Language Processing
PCG	Phonocardiogram
PD	Parkinson Disease
PDP	Partial Dependence Plot
PIC	Pediatric Intensive Care
PL	Prototype Learning
PPG	Photoplethysmogram
PRN	Partial Response Network
QoL	Quality of Life
RETAIN	REverse Time AttentIoN
RF	Random Forest
RNN	Recurrent Neural Network
ROSMAP	Religious Orders Study and Rush Memory and Aging Project
SAX	Symbolic Aggregate ApproXimation
SCS	System Causability Scale
SHAP	Shapley Additive Explanations
SMILE	Systems Metabolomics using Interpretable Learning and Evolution
SPM	Statistical Parametric Mapping
SpO${}_2$	Pulse Oximetry
SSI	Surgical Site Infection
ST	Skin Temperature
SVM	Support Vector Machine
T-CAV	Testing with Concept Activation Vectors
T-LSTM	Time-aware Long Short-Term Memory
t-SNE	t-distributed Stochastic Neighbor Embedding
TCN	Temporal Convolutional Network
TCoN	Time-aware and Co-occurrence-aware deep learning Network
TF-IDF	Term Frequency Inverse Document Frequency
TITV	Time-Invariant and Time-Variant
WCPH	Weibull Cox Proportional Hazards
XAI	Explainable Artificial Intelligence
XGBoost	eXtreme Gradient Boosting