Page 293 - Big Data Analytics for Intelligent Healthcare Management

288 Index

Healthcare big data, 20f, 43, 55 NGS technology (see Next generation sequencing (NGS))
administrative and external data, 46 patient behavior and sentiment data, 45
anonymization techniques, 208–210 payment and contact information, 208
big data analytics personally identifiable information, 206–208, 208t
in anesthesia and healthcare units, 49 PHI, 208
Apache Mahout, 54 PPII, 207–208, 208t
architectural framework, 51–52, 51–52f push model, 197–198
ATHENA, 50 security risk cycle, 210, 212f
Avro, 54 security techniques, 210, 210f
Big Data Based Recommendation Engine, 49 semistructured data, 45
CARE, 49 sensor data, kinds of, 200, 202f
Cassandra, 53 sources, 46, 46f, 200, 248–249
challenges, 54–55 stakeholders of, 197, 198f
COPD diagnosis, 48 structured data, 45
diabetes, classification technique, 50 unstructured data, 45
Hadoop (HDFS), 49, 52 view model, 197–198
HATS, 49 HealthCombix, 220–221
HBase, 49, 53 Health Insurance Portability and Accountability Act (HIPAA), 208
Hive, 53 Health recommendation system (HRS), 227–228, 235, 236f
HRS (see Health recommendation system (HRS)) advantages and disadvantages, 243–244
Jaql, 53 Apache Hadoop, 240
Lucene, 53 architecture, 242, 243f
MapReduce, 52–53 Cassandra, 240
Naı ¨ve Bayes techniques, 49–50 communication, 239–240
in neonatal intensive care units, 50 data analysis process, 238
Oozie, 54 DataCleaner, 240
Pig and PigLatin, 53 data collection, 237–238
privacy and copyright protection, 50 data sources, 237–238
security threats, 50 decision-making system, 235–236
ZooKeeper, 53 design methodology, stages of, 236–237, 237t
biometric data, 208 differential privacy, 239
blockchain (see Blockchain technology) evaluation of, 240–241
CAGR, 200–201 intelligent-based HRS
clinical and personal data, relationship between, 208, 209f collaborative filtering, 242
clinical data and notes, 45 dataset description, 242
clinical reference and health publication data, 46 experimental result analysis, 242–243, 243t
context-aware big data processing, 201 framework, 241–242, 241f
countries and organizations, information protection MapReduce, 242
regulations, 210, 211t participatory design, 239
data breaching, 201–202 privacy preservation phase, 235–236, 239
and data mining, 200 recommendation phase, 235, 237–239
digital identity, 206 sentimental analysis phase, 235–236, 239
disease prevention, 248–249 training phase, 235, 238
docking algorithms (see Docking algorithms) user profile process phase, 235, 238–239
fMRI dataset (see Functional magnetic resonance imaging visualization, 238–240
(fMRI)) Heliscope, 250–252
genomic data, 45 Hilbert curve anonymization, 208–210
hospital information, 208 Hiseq, 250–252
IoT-based health monitoring system (see Internet of things HIV/AIDS, TB, and silicosis (HATS), 49
(IoT), in healthcare) Hive Query Language (HQL), 53
“medical of things”, 197–198 HRS. See Health recommendation system (HRS)
multidimensional healthcare data, 197 Hyperuricemia, 154–155