Page 289 - Big Data Analytics for Intelligent Healthcare Management

284 Index

Big data analytics (BDA) (Continued) research areas, 14–15
model, 2–4, 3f swarm-based algorithms, 6–7
records analysis challenges taxonomy of, 5f
Bayesian people group, 24 text analytics, 8
pattern interpretation challenges, 24 time count of, 7, 8f
scale of statistics, 24 types of, 8f
records-variety trouble, capacity solutions for, 29 audio/speech analytics, 8–9
scalability assignments, solutions for, 33–36 predictive analytics, 9
spark structures, 29 social media analytics, 9
statistics preservation-demanding situations, 22 text analytics, 8
variety of data, 2, 2f video analytics, 9
velocity trouble, solutions for Biological data, 249
massive actualities calculations, 32 Biomedical data analysis, FCM-KA method
privateers and safety undertaking, 32–33 cluster analysis using optimal cluster centers, 274, 276
statistics representation, 32 objective function values and accurateness, 277
transactional databases, 31–32 obtaining optimal cluster centers, 274–276, 275f
Big Data Based Recommendation Engine, 49 vs. standard techniques, average accuracy, 277–278, 278t,
Binary version of the kidney-inspired algorithm for feature 278f
subset selection (BKA-FS), 272–273 statistical validity, 278, 279t
Biofeedback (BF) Biometric data, 208
AAPB, 87 Bitcoin, 203–205
aim of, 88 Bitcoin as a service (BiaaS), 15
chronic pain and stress symptoms, reduction of, 88 Blockchain as a service (BaaS), 14
definition, 88, 96–97 Blockchain health, 219–220
instruments, 88 Blockchain technology
Kamiya, Joe, 87 architecture of, 202, 203f
mind-body and consciousness benefits of, 199, 199f, 213, 214f
measurements, 96f big data challenges vs. opportunities, 213, 215f
mood states, factors of, 97f capability of, 213, 216t
rays emitted by individual, 96t challenges and solutions, 217–221
stages of daily routine, 95 characteristics of, 202
pneumatic biofeedback devices, 87–88 collaborative patient engagement, 216–217
sensor modalities, 96–97 consensus algorithm, 205t, 206
treatment of consent, 199
anxiety, 87–88 cybersecurity, 213–214
chronic type TTH stress (see Tension type headache data integrity, 198–199
(TTH)) decentralized storage, 199
migraines, 95 digital signature, 206
psychosomatic disorders, 88 digital supply chain, 213
voluntary control, 88 digital trust, 210–211
Biofeedback Certification Institute of America (BCIA), 88, fighting counterfeit drugs, 216
96–97 forking, 204f, 206
Biofeedback Research Society (BRS). See Association for GDPR, 218–221
Applied Psychophysiology and Biofeedback hash algorithm, 206
Biofeedback Society of America (BSA). See Association for headers, 205
Applied Psychophysiology and Biofeedback health claims, 214
Biogeography-based optimization (BBO) algorithm, 7 immutability, 199
Bio inspired algorithms (BIAs), big data analytics, 10, 269–270 increased capacity, 199
challenges, 10–13 intelligent data management, 212
comparisons of, 10, 11–12t interoperability and data sharing, 214–215
ecological algorithms, 7–10 market, 202–205, 203f
evolutionary algorithms, 4–5 medical and IoT devices, 213
evolution of, 7, 7f medication adherence, 214
parameters of, 9–10, 9f Merkle tree root hash, 204f, 205