Index
A
Abductive reasoning
Adaptive boost
AI ethics
aggregate data
behavior and addictions
code
data consent
data controller/processor
data-driven
data ethics
data science
economy/employment
first-time problem
framework considerations
freedom of choice
global standards/schemas
health intelligence
humanity
identifiable data
individualized data
informed consent
intelligence
liability
overhype/scaremongering
policy, law, regulation
public
stakeholders
Analytics 1.0
Analytics 2.0
Analytics 3.0
Antiepileptic drugs (AEDs)
Apriori algorithm
Artificial intelligence (AI)
components
computer science
examination
development
limited theory
reactive machines
self-aware
strong
theory of mind
weak
healthcare
bias
data governance
diagnosis
digital therapy
drug discovery
follow-up care
fragmented data
prediction
security
understanding gap
software
Artificial neural networks (ANNs)
Assistance Publique-Hôpitaux de Paris (AP-HP)
Association
Association rule learning methods
Apriori
confidence
lift
support
Atrial fibrillation (AFIB)
Augmented and virtual reality
aims
defining
project description
360° video
Augmented reality (AR)
B
Backward Feature Elimination
Bagging vs. boosting
Big data
AI prioritization
challenges
data growth
data sources
expertise
infrastructure
quality
security
empower health decisions
fragmentation
IOT, integration
medication adherence, efficacy,burden
platform services
policies/governance
predictive analytics
projects
real-world evidence
resistance
strategy
three Vs
timeliness
tools
Blockchain
Boosting
Business process management (BPM)
C
Carnitine palmitoyltransferase (CPT)
Casting
Centers for Disease Control and Prevention (CDC)
Cloud-based intelligence
Cloud-based system
Clustering
Cognitive vision or image recognition
Comprehensibility
Consistent data
Convolutional neural networks
Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) algorithm
Cybersecurity
D
Data
definition
evolution/analytics
healthcare
information
sources
ten Vs
types
volume
Database
challenges
data types
definition
spreadsheet, difference between
Database management system (DBMS)
Data content
Data ethics
Datafication
Data governance
Data governance policy
Data vs. information
Data leakage
Data management
accuracy
choosing models
choosing variables
clean the data
ensembles
false negatives
linearity
overfitting
parameters
performance baseline
productivity
redundancy
training time
understandability
Data mining
Data preparing
Phases
data cleansing
data exploration
data gathering
expand
transforming data
Data quality
Data science
Data Stewardship
Data volume
Decision tree–based prediction models
distinct statement
Decision trees
algorithms
benefits
C4.5
CART
ID3
Deductive reasoning
Deep learning
Dependency parsing
Descriptive analytics
Deterministic environments
Diabetes
Diabetic foot disease (DFD)
challenges
cognitive vision
poor symptom recognition
project aims
Diagnostic analytics
Digital therapeutics
Digital therapy
Dimensionality reduction algorithms (DRA)
Backward Feature Elimination
feature extraction
Forward Feature Construction
high correlation
low variance
missing/null values
NLP
PCA
random forest decision tree
Distributed denial of service (DDoS)
drop table
Dynamic environments
E
Ensemble techniques
Enterprise risk planning (ERP)
Environment
accessibility
determinism
episodes
flow of data
types
Epilepsy, digital therapy
defining
evidence base
preliminary analysis
research
sensor-driven digital program
Episodic environments
Evaluation metrics
classification
accuracy
AUC
confusion matrix
logarithmic loss
per-class accuracy
precision/recall/specificity/f-measure
regression
percentiles of error
RMSE
Evidence-based medicine
F
Feature engineering
Feature selection
Feedforward neural network
Forward Feature Construction
Fragmentation
from keyword
G
General Data Protection Regulation (GDPR)
Gene therapy
Genetic algorithms (GA)
Glucose concentration
Gradient boosting
Grid search
group by command
H
Healthcare
AI, developing
Blockchain
conversational AI
data
electronic health records
evidence-based medicine
IoT
predicting waiting times
predictive analytics
public health
reducing readmissions
value-based care/engagement
drug discovery
making and rationalizing decisions
making doctors better
mining EHR
robots
smart places
volume to value
patient-centered care
value-based care
volume-based care
Hold-back method
Hyperparameter tuning
I, J
Inductive reasoning
Information Commissioner’s Office (ICO)
Information governance
Information Management System (IMS)
INNER JOIN command
K
Ketogenic diet (KD)
Ketogenic Program for Epilepsy (KPE)
k-Means clustering
k-nearest neighbors (KNN)
L
Learning algorithm
LEFT JOIN command
Lexicon normalization
Linear regression
Logarithmic loss
Logistic function
Logistic regression
Low-bias algorithms
Low Carb Program digital health intervention
Low Carb Program (LCP)
Low-variance algorithms
M
Machine learning
agent
autonomy
basics
definition
goals
interface
knowledge
methods
performance
practical examples
utility
Machine learning algorithms
components
experience
libraries
performance
task
Machine learning ethics
bias correction
data bias
definition
human bias
intelligence bias
machine bias
prediction
preventing algorithms
protecting against mistakes
unintended consequences
validity
Machine learning project
data preparation
deploying
evaluation
algorithm tuning
bias
data representation
ensembles
feature selection
get more data
implementation problems
optimization
performance measures
problem distribution
quality data
resample data
supervised/unsupervised learning
validation data
variance
framing
background information
collecting examples
errors data
learning curve
scientific experiment
training
comprehensibility
predictive accuracy
programming languages
scratch
test data
utility
Magnetic resonance imaging (MRI)
Mapping function
Master Data Management (MDM)
Median absolute percentage error (MAPE)
miiCUBE network
Model development and workflow
approaches
evaluation
phases
real time monitoring
skewed datasets/anomalies/rare data
Model hyperparameters
Model parameters
Modular neural networks
Monte Carlo cross-validation
N, O
Naïve Bayesian models
Natural language processing (NLP)
Bayesian classifier
cosine similarity
lexicon normalization
N-Grams
noise removal
object standardization
Porter stemmer algorithm
semantics
TF-IDF
Neural networks
n-fold cross-validation
Noise removal
Nonparametric algorithms
P, Q
Parametric algorithms
Parametric vs. nonparametric algorithms
Pareto principle
Part of speech (POS)
identifying features
normalization
reducing ambiguity
stopword removal
Patient-centered care
Patient-facing digital health applications (apps)
Perceptrons
Personalized medicine
applications
digital therapeutics
disease/condition management
implantable devices
incentivized wellness
medication adherence
remote monitoring
telemedicine
virtual assistants
data
diagnostic tests
ethical issues
predictive tools
Polycystic ovarian syndrome (PCOS)
Porter stemmer algorithm
Posterior probability
Predictive accuracy
Predictive AI model
expectation-based modelling
improving solution
problem statement
Predictive analytics
digital to pharmacology
patient monitoring
personalized care
Principal component analysis (PCA)
Privacy
anonymity
data sharing
different values
R
Radial basis neural network
Random forest decision trees
Randomized controlled trials (RCTs)
Reality
AR
immersive, use cases
merged
VR
Real world application/learning
Real-world evidence (RWE)
Reasoning
abduction
deduction
induction
Recurrent neural networks (RNN)
Reinforcement learning
Risk prediction
Robotic exoskeleton technology
Root-mean-squared error (RMSE)
S
Security
select command
Semantic analysis
Semi-structured data
Semi-supervised learning
Sigmoid function
Statistical hypothesis or multivariate testing
amount of change
correlation
data variance/drift
definition
distribution metric
evaluation
multivariant test
observations
process
p value
tests, statistical power, effect size
Stratified or precision medicine
Structured Query Language (SQL)
commands
AND/OR/NOT
casting
delete/truncate
drop table
group by
NULL values
update
creting table
inserting data
primary/foreign key
select/from/where
date functions
definition
joins
Supervised and unsupervised models
Supervised learning
classification
features
forecasting
regression
Support vector machine (SVM)
Syntactic analysis
dependency parsing
POS
T
3-D printing
Technology addiction
Term Frequency–Inverse Document Frequency (TF-IDF)
Traditional software engineering
truncate command
Type 2 diabetes
definition
methods
observations
results
U
Uber’s Greyball algorithm
update statement
Unstructured data
Unsupervised learning
association
clustering
User experience
Utility
V
Validation
Validity
Value
Value-based care
definition
digital health enables
public healthcare system
redefining approach
Variability
Variety
Internet of Things
sources
Velocity
Veracity
Virtual reality (VR)
Visualization
Voice-Activated Assistants
cybersecurity
discussions
health apps
methods
real-world digital health
results
Volume-based care
W, X, Y, Z
Wearable apps
digital health
findings
low carb program
measures
methods
results
statistical analyses
Wearable biomedical sensors
where command
World Health Organization (WHO)
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