Page 291 - Big Data Analytics for Intelligent Healthcare Management

286 Index

Electrodermograph (EDG), 97
D
Electroencephalography (EEG), 87
Data archive and analysis, 24, 24f
Electromyography (EMG)
Database management system (DBMS), 249
and GSR BF therapy, chronic type TTH stress (see EMG and
DataCleaner, 240
GSR biofeedback therapy, chronic TTH stress)
Data mining, 9–10, 48
muscle relaxation, 87
Data privacy, healthcare big data
stroke patients, 87–88
anonymization techniques, 208–210
surface EMG, 87–88, 97
biometric data, 208
Electronic health records (EHRs), 47–48, 54–55, 198–200, 201f
clinical and personal data, relationship between, 208, 209f
data incorporation challenges, 22, 22f
digital identity, 206
Electronic medical records (EMRs). See Electronic health
hospital information, 208
records (EHRs)
images, 208
Elliptical curve digital signature algorithm (ECDSA), 206
payment and contact information, 208
EMG and GSR biofeedback therapy, chronic TTH stress
personally identifiable information, 206–208, 208t
EMGa and GSRa, 108
PHI, 208
average duration reduction rate, 109–110, 110f
PPII, 207–208, 208t
average frequency reduction rate, 108–109, 109f
security techniques, 210, 210f
average intensity reduction rate, 110–111, 111f
Day-to-day statistics, 35–36
duration and intensity, correlation between, 112–115, 113f,
De-Bruijn graph, 50, 249–250
114t
Decision tree, 48, 232, 277–278, 278–279t, 278f
duration per cycle, 111–112, 112f
Deep learning as a service (DLaaS), 14
frequency and duration, correlation between, 115–116,
Deeplearning4j, 21
115f, 116–117t
De novo assembly sequencing, 250–252
EMGav and GSRav, 102
Diabetes mellitus disease (DMD), 50
average duration reduction rate, 127–128, 127f
Differential evolution (DE) algorithm, 4
average frequency reduction rate, 126–127, 126f
Digital identity, 206
average intensity reduction rate, 128, 128f
Digital supply chain (DSC) system, 213
duration and intensity, correlation between, 129–132,
Dimensionality reduction, 59–60, 62–63, 66, 67t
130–131t, 130f
Distance geometry (DG) algorithms, 256–257
duration per cycle, 129, 129f
Distributed data mining (DDM), 248
frequency and duration, correlation between, 132–136,
Distributed file system (DFS), 52
132f, 133–134t, 135–136f
District-based model, 30
EMGa vs. EMGv vs. EMGav, 136
Docker, 14
average duration reduction rate, 137, 138f
Docking algorithms
average frequency reduction rate, 136–137, 137f
AD, molecular docking analysis, 257–262
average intensity reduction rate, 138–139, 138f
AutoDok vina
duration and intensity, correlation between, 140–142, 140f,
configuration files preparation, framework for, 257, 258f
141t
proteins and ligands preparation, workflow steps for, 257, 257f
duration per cycle, 139–140, 139f
DG algorithms, 256–257
frequency and duration, correlation between, 142–145,
flexible and rigid docking, 256
142f, 143–144t
genetic algorithm, 256–257
EMGv and GSRv, 116
LGA, 257
average duration reduction rate, 118, 119f
RMSD, 256
average frequency reduction rate, 116–118, 118f
SAA, 256
average intensity reduction rate, 119–120, 119f
scoring functions, 257–258
duration and intensity, correlation between, 121–122, 122f,
SMA, 256
122–123t
DoKchain, 219–220
duration per cycle, 120–121, 120f
DSC. See Digital supply chain (DSC) system
frequency and duration, correlation between, 123–126,
124f, 124–125t
E
Ecological algorithms, big data analytics, 7–10 hypothesis, 102
Edge-based model, 30 statistical analysis, 102