Page 295 - Big Data Analytics for Intelligent Healthcare Management

290 Index

Logistic regression (LR) models (Continued) Miseq, 250–252
average ROI based feature, 161–162, 162t MLlib, 21
N-most active-based feature, 162, 162t Model chain, 220
N-most active ROI-based feature, 162, 163t MongoDB, 9–10, 248
ROI-based features, 161, 161t Multicenter Preoperative Outcomes Group, 49
Low Power Wireless Personal Area network over IPV6 Multilayer Perceptron Artificial Neural Networks (MLP-ANN),
(6LoWPAN), 178 272–273
Lucene, 53 MySQL database, 22

M
N
Machine learning (ML), 50, 152 Naı ¨ve Bayes (NB), 49–50, 277–278, 278–279t, 278f
cancer Nature-inspired optimization algorithms, 269
chemical carcinogenicity, 154 Neighborhood twofold-fitted model, 30–31
radiation, treatment with, 155–156 Neo4J, 9–10
components, 156 Network-attached storage (NAS), 33
definition, 152 Network intrusion detection systems, 247–248
diabetes mellitus, diagnosis of, 155 Neuro-biological rhythm, 87
DKELM, 154 Neuromuscular re-education, 87–88
drug-users and healthy persons, differentiation between, 156 Neurotherapy. See Biofeedback (BF)
fMRI dataset (see Functional magnetic resonance imaging Next generation sequencing (NGS)
(fMRI)) Alzheimer’s disease, gene interaction of, 256
GBDT, 154 genes, encoding proteins, and targeted drugs for, 255, 255t
hyperuricemia, 154–155 string database, 253, 254f
parallelism, optimization of, 156 applications, 249–250
spark-based machine learning techniques, 156 assembly tools, 250–252
supervised and unsupervised, 152 de novo assembly, 250–252
Manual checking, 34 epigenetics, 250
MapReduce, 6, 28, 33, 50, 52–53, 155, 238, 242 in human genome study, 249–250
Mapreduce, 248–250 objectives of, 249–250
Maximal margin classifier. See Support vector machine (SVM) re-sequencing, 250
Mean Absolute Error (MAE), 233, 242–243, 243t, 244f second-generation sequencing, 250–252
Mean-MIN-MAX, 248 transcriptone sequencing, 250
Medical imaging Xylella fastidiosa bacteria, assembly of
breast cancer tissue image classification (see Breast cancer SOAPdenovo2 software, 250–253, 252t
tissue image classification, ConvNets) Velvet software, 250–253, 251t
definition, 47–48 No free lunch theorem, 270–271
fMRI dataset (see Functional magnetic resonance imaging
(fMRI))
image processing techniques, 46–48, 47f O
Off-chain blockchain, 219–221
medical image data, size of, 47–48
Online analytical processing (OLAP), 248
MedRec, 220
On-line transaction processing (OLTP), 2–3
Mental health, 89
Operant learning model, 88
definitions, 90–91
Oppositional based binary kidney-inspired search algorithm for
factors affecting, 91
feature selection (OBKA-FS), 272–273
incidences of, 89, 91
Optimization, 269
meaning of, 90
Oracle database, 22
Merkle tree root hash, 204f, 205
Oxdata H 2 O, 21
Metadata, 22–23, 36
Metagenomics, 249–250
Microsoft Word, 21 P
Minia, 250–252 Pairwise kidney strategy (PKS), 272–273
Minimum-level priority queue (MLPQ), 248 Parallel clustered PSO algorithm (PCPSO)-based algorithm, 6
Min-Median, 248 Parkinson’s disease (PD) gait data, 200