Page 288 - Big Data Analytics for Intelligent Healthcare Management

Index

Note: Page numbers followed by f indicate figures and t indicate tables.

BFO algorithm for network-traffic (BFON), 7
A
Active contour models (ACM), 30 Big data, 151–152
Activity-Awareness for Human-Engaged Wellness Applications characteristics, 93, 93f
(ATHENA), 50 communication science, 249
Adafruit cloud, 180–181, 187–189, 187–188f definition, 93, 200, 247–248
Advanced multimodal image-guided operating (AMIGO), Hadoop, 93
47–48 healthcare (see Healthcare big data)
Allotted records mining algorithms, 21 processing, stages in, 3–4, 3f
Alpha frequency, 87 structured/unstructured data, 247–248
Alzheimer’s disease (AD) value, 44, 44f
gene interaction of variability, 44, 44f
genes, encoding proteins, and targeted drugs for, 255, 255t variety, 44, 44f, 200
string database, 253, 254f velocity, 44, 44f, 200
molecular docking analysis, 257–262 veracity, 44, 44f
Analysis of variance, 114t, 116t, 122t, 124t, 130t, 133t, 135, volume, 44, 44f, 200
136f, 141t, 143t Big data analytics (BDA), 152
Anesthesia big data, 49 allotted records mining algorithms, 21
Anesthesia Quality Institute, 49 arrangement of challenges
Anonymization techniques, 208–210 anomalies in human ecosystems, detection of, 26
Ant colony optimization (ACO) algorithm, 6 probabilistic method, 25
Apache Hadoop, 28–29, 240 user intervention method, 25
Apache Mahout, 21, 49 bio-inspired algorithms, 10
Apache Oozie, 54 audio/speech analytics, 8–9
Apache Spark, 28 challenges, 10–13
Artificial bee colony (ABC) algorithm, 6 comparisons of, 10, 11–12t
Artificial immune system (AIS) algorithm, 7 ecological algorithms, 7–10
Artificial neural network (ANN), 232 evolutionary algorithms, 4–5
Association for Applied Psychophysiology and Biofeedback evolution of, 7, 7f
(AAPB), 87–88, 96–97 parameters of, 9–10, 9f
Association rule mining, 232 predictive analytics, 9
Association technique, 9–10 research areas, 14–15
Audio/speech analytics, 8–9, 8f social media analytics, 9
AutoDock software, 256 swarm-based algorithms, 6–7
Autonomic responses, 87 taxonomy of, 5f
Avro, 54 text analytics, 8
time count of, 7, 8f
video analytics, 9
consumable massive facts analytics, 19–20
B
BaaS. See Blockchain as a service (BaaS) data management, dimensions of, 2, 2f
Backend-as-a-service (BaaS), 14 data sources, 23, 23f
Back propagation algorithm, 50, 155 facts aggregation challenges, 21
Back propagation neural network (BPNN), 277–278, 278–279t, gadget failure, 21
278f healthcare (see Healthcare big data)
Bacterial foraging optimization (BFO) algorithm, 7 huge record management, demanding situations in, 26–27
Bat Algorithm (BA), 272–273 image mining and processing, 29–31
Bayesian classifier, 232–233 information integration challenges, 22–23
BDA. See Big data analytics (BDA) massive facts, 27–28

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