Note: Page numbers followed by “f” and “t” refer to figures and tables respectively.
Activities of daily living (ADLs),
106–107Adaptive immune system,
233Allostatic load model,
29Alzheimer’s disease (AD),
2–4, 13Amyloid beta (Aβ),
Amyotrophic lateral sclerosis (ALS),
5–6Anger, and cardiovascular health,
29–30Ant colony optimization (ACO),
292Antigen-presenting cell (APC),
233Anxiety, and cardiovascular health,
29–30Application Artificial Bee Colony (AABC) algorithm,
292–293Area under the curve (AUC),
137Artificial Bee Colony (ABC) algorithm,
292–293Artificial immune network algorithm (AINE),
234–235Artificial immune system (AIS),
234–235Artificial intelligence (AI),
288–289Assistive robot technologies,
105–106Automatic neural network classifier (NEURC),
136Average synchrony measure,
19, 20fBack-propagation neural network (BNN),
291Back-propagation trained feed-forward neural network classifier (BPXNC),
135–136Backward feature selection,
46Belief–desire–intention (BDI) framework,
167–168Benton Visual Retention Test,
17mathematical models of,
80–81MRI image corrupted by,
85–86Bio-inspired algorithms,
300Biological immune system (BIS),
233–234Blind source separation technique (BSS),
18Canadian Cattle Identification Agency (CCIA),
247–248Canny edge detector,
86–88data, intrapartum hypoxia from, prediction of,
125–146CTG-UHB intrapartum data set,
130–131machine learning algorithms,
135–136synthetic minority oversampling,
134–135using machine learning,
130Cardiovascular disease (CVD),
28Cardiovascular health, negative emotion and,
28–30Care Process Organization Triangle (CPOT),
204–205, 206fClassifiers,
Clinical Dementia Rating Scale (CDRS),
17Clonal selection algorithm (CLONAG),
234–235Cognitive behavioral therapy (CBT),
27–28Coherence, interhemispheric,
13Combinatorial Artificial Bee Colony (CABC) algorithm,
292–293Combining classifiers,
24Confirmatory data analysis (CDA),
137Context-awareness, lifestyle-oriented,
115C-reactive protein (CRP),
36Cross spectral density,
16Danger theory inspired algorithms,
234–235Data
gathering,
preprocessing,
Decoupled extended Kalmen filter (DEKF) algorithm,
151Dendritic cell algorithm (DCA),
234–235Depression, and cardiovascular health,
29–30DNA microarray technology,
45Doppler ultrasound monitoring,
125–126Elderly care, Big Data analytics for
data aggregation and processing,
113–114lifestyle-oriented context-awareness recommendation,
115, 116frequirements and challenges,
109–110Electroencephalographic (EEG) signals,
13–15, 14fsynchrony computation,
18–21average synchrony measure,
19, 20fElectronystagmography (EMG),
148–149Elman–Jordan network,
149Endoscopic third ventriculostomy,
188Event condition action (ECA),
167–168Exploratory data analysis (EDA),
137–138False alarm rate (FAR),
238Feature extraction
algorithms, filter-based supervised,
46–47Feed Forward Radial Basis Function (RBF),
291Fetal heart rate (FHR)
Fuzzy c-means (FCM),
83–84Gene expression matrix,
45Gene selection methods, for microarray data,
45–69approaches for feature selection,
46
filter-based supervised feature selection algorithms,
46–47unsupervised filter-based feature selection algorithms,
72–76multicluster feature selection,
73–74, 75fresults, simulation,
74–76wrapper approach, feature selection algorithms based on,
69–72sequential backward floating selection,
71–72sequential backward selection,
70, 71tsequential forward floating selection,
71sequential forward selection,
70, 71tsimulation results on,
70Geographic Information System (GIS),
250–251Geriatric Depression Scale (GDS),
17Global Guided Artificial Bee Colony (GGABC) algorithm,
293–295, 295fGlobal Positioning System (GPS),
37Habit, impact on mHealth infusion,
221–222Hazard Analysis Critical Control Point (HACCP) systems,
247–249Healthy life expectancy (HLE),
30Heart rate variability (HRV),
36Holdout Cross-Validation technique,
136Hopfield Neural Network (HNN),
291Human–computer interaction (HCI),
33–35Human digital memory (HDM),
30–31Huntington’s disease,
Hybrid Guided Artificial Bee Colony (HGABC) algorithm,
296–297, 297fImbalanced data sets,
6–8Improved Artificial Bee Colony (IABC) algorithm,
292–293iNAS (intelligent NeuroDiary Application System),
184, 192–209for hydrocephalus management
Independent component analysis (ICA),
18Information and communication technology (ICT),
99–104, 119Innate immune system,
233Intelligent health care systems
development methodology,
190Interhemispheric coherence (IHCoh),
13CTG-UHB intrapartum data set,
130–131feature research directions,
137–139machine learning algorithms,
135–136synthetic minority oversampling,
134–135Italian Standards Institute,
247–248Language barriers to mHealth,
218Levenberg–Marquardt leaning algorithm,
152–153Levenberg–Marquardt trained feed-forward neural network classifier (LMNC),
136Lifelogging technology,
30–32clinically relevant measurements,
36–37personal information data sets,
38–39Low-frequency filtering,
82–83Magnetic resonance imaging (MRI) intensity inhomogeneity correction,
79–98algorithm limitations,
84current algorithms,
82–83globally nonsmooth,
90, 94bias field correction strategy,
86theory and problem formulation,
85–86Magnitude squared coherence,
16–17Mann–Whitney U test,
21–22Market uncertainty, and mHealth,
215MATrix LABoratory (MATLAB),
236–237Maximum relevance–minimum redundancy (mRMR) algorithm,
53–56, 56t–57tMaximum weight–minimum redundancy (MWMR) algorithm,
63–66, 66tMedical data preprocessing,
148–149unsupervised filter-based feature selection algorithms,
72–76multicluster feature selection,
73–74, 75fresults, simulation,
74–76wrapper approach, feature selection algorithms based on,
69–72sequential backward floating selection,
71–72sequential backward selection,
70, 71tsequential forward floating selection,
71sequential forward selection,
70, 71tsimulation results on,
70Mild Alzheimer’s disease (MiAD),
13, 17–18Mild cognitive impairment (MCI),
13Mini-Mental State Examination (MMSE),
, 17Min-max normalization process,
237Missing data, handling,
Mobile decision support systems,
167–168calculus of situations for,
169–174Mobile farming information system,
260–265public and private traceability sectors,
260–261barriers to implementation,
223, 223fbarriers to routinization,
221discussion and findings,
225Mobile sensing platform (MSP),
34Modified Artificial Bee Colony (MABC) algorithm,
292–293Movement signals, ,
Multiclass data sets,
Multicluster feature selection (MCFS),
73–74, 75fMultiple knot spline-smooth support vector machine (MKS-SSVM),
232–233National Health Service (NHS),
269Negative emotion, and cardiovascular health,
28–30Negative selection algorithm (NSA),
231–243experimental investigation and classification results,
236–241experimental procedure,
237variable-sized detectors,
236Neural synchrony measurement technique,
15–17magnitude squared coherence,
16–17phase synchrony (Hilbert transform),
15Neurodegenerative diseases (NDDs),
Alzheimer’s disease,
amyotrophic lateral sclerosis,
classification algorithms for,
5–12classifier fusion strategy,
6–12, 9fEEG synchrony computation,
18–21average synchrony measure,
19, 20fHuntington’s disease,
Parkinson’s disease,
phase synchrony (Hilbert transform),
15statistical analysis,
21–23Noncommunicable diseases (NCDs),
30Nonnested generalized exemplars (NNGEs),
236, 238–241Novel Artificial Bee Colony (NABC) algorithm,
292–293Oversampling,
Parallel Artificial Bee Colony (PABC) algorithm,
292–293Parkinson’s disease,
Particle swarm optimization (PSO),
292Pattern recognition,
Pediatric hydrocephalus,
188Perceptron linear classifier (PERLC),
136Personal innovativeness,
222Personalized elderly care,
99–124data aggregation and processing,
113–114lifestyle-oriented context-awareness recommendation,
115, 116frequirements and challenges,
109–110Pi-Sigma Neural Network (PNN),
291Power Spectral Density (PSD),
16–17Principal components analysis (PCA),
138Pulse Wave Velocity (PWV),
36Radio frequency identification (RFID),
248, 250–251Real-valued negative selection algorithm (RNSA),
235–236experimental investigation and classification results,
236–241experimental procedure,
237Receiver operating characteristic (ROC) analysis,
10–12, 12fRecurrent neural networks (RNNs),
147–165for medical data preprocessing,
148–149Recurrent self-organizing map (RSOM),
150–151Rehabilitation integrated systems,
103–104RESTful (Representational State Transfer) API,
198Rey Auditory Verbal Learning Test,
17Ridge Polynomial Neural Networks (RPNN),
291Security and privacy issues, and mHealth,
219Self-forgetting system,
38Self-Organizing Map (SOM),
291Sequential backward floating selection (SBFS),
46, 71–72Sequential backward selection (SBS),
70, 71tSequential forward floating selection (SFFS),
46, 71Sequential forward selection (SFS),
46, 70, 71tSequential minimal optimization (SMO),
236, 238–241Simple Recurrent Network (SRN),
291mobile decision support system context in,
171–174, 173fSkewed data sets,
Smartphone technology,
37Statistical analysis,
21–23Superoxide dismutase 1 (SOD1),
Supervised filter-based feature selection algorithms,
46–47based on wrapper approach,
69–72sequential backward floating selection,
71sequential backward selection,
70, 71tsequential forward floating selection,
71sequential forward selection,
70, 71tsimulation results on,
70Supervised gene selection,
46Support vector machine (SVM) classifier,
130Swarm-based artificial neural system,
291–293Symptom quantification,
Synthetic minority oversampling technique (SMOTE),
134–135, 139Taiwan Good Agriculture Practice (TGAP),
249Technical infrastructure, and mHealth,
218–219Tianjin Shunzi Vegetable Cooperative (TSVC), traceability system,
263–265, 264f–265f
Undersampling,
Unsupervised filter-based feature selection algorithms,
72–76multicluster feature selection,
73–74, 75fresults, simulation,
74–76Unsupervised gene selection,
46Uterine contraction
Variable-sized detectors (V-Detectors),
236, 238–241Ventriculoatrial (VA) shunt,
188, 189fViticulture service–oriented framework (VSOF),
251Wilcoxon rank sum test,
21–22World Cancer Research Fund (WCRF),
289World Population Ageing Report,
99Wrapper approach, feature selection algorithms based on,
69–72sequential backward floating selection,
71–72sequential backward selection,
70, 71tsequential forward floating selection,
71sequential forward selection,
70, 71tsimulation results on,
70