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201031s2020 xx o ||| 0 eng d |
| 040 |
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|a EBLCP
|b eng
|c EBLCP
|d YDX
|d EBLCP
|d OCLCQ
|d OCLCL
|d K6U
|d OCLCO
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| 019 |
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|a 1202230324
|a 1202477848
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|a 9781000224009
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|a 1000224007
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|z 0367322005
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|z 9780367322007
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|a (OCoLC)1202475614
|z (OCoLC)1202230324
|z (OCoLC)1202477848
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| 050 |
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4 |
|a R858
|b .B364 2021
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Banerjee, Sourav.
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| 245 |
1 |
0 |
|a Green Computing and Predictive Analytics for Healthcare
|h [electronic resource].
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| 260 |
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|a Milton :
|b CRC Press LLC,
|c 2020.
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| 300 |
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|a 1 online resource (205 p.)
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| 500 |
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|a Description based upon print version of record.
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| 505 |
0 |
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|a Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- About the Editors -- List of Contributors -- Chapter 1 Healthcare Data Monitoring under Internet of Things -- 1.1 Introduction -- 1.1.1 Healthcare Data -- Efficient Storage of Big Data -- 1.2 Digitization of Healthcare-Oriented Big Data -- 1.3 Healthcare -- IoT and Mobile Health -- 1.4 Management of Big Data -- 1.4.1 Electronic Medical Record (EMR) or Electronic Health Record (EHR) -- 1.4.2 Healthcare Analytics -- 1.5 Medical Data Analysis and Disease Predictions through ML
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| 505 |
8 |
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|a 1.6 Applications of Big Data in the Medical Field -- 1.7 Analytics of Medical Data in the Mercantile Platform -- 1.8 Related Work -- 1.9 Challenges and Constraints Related to Healthcare-Based Big Data Concepts (Including Privacy and Security Issue) -- 1.10 Conclusion and Future Trends -- References -- Chapter 2 A Framework for Emergency Remote Care and Monitoring Using Internet of Things -- 2.1 Introduction -- 2.2 The IoT Architecture and Applications -- 2.2.1 Stage 1 (Sensors/Actuators) -- 2.2.2 Stage 2 (Data Acquisition Systems) -- 2.2.3 Stage 3 (Edge Analytics)
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| 505 |
8 |
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|a 2.2.4 Stage 4 (Cloud Analytics) -- 2.3 Literature Survey -- 2.4 A Proposed Framework for Emergency Remote Care and Monitoring Using Internet of Things -- 2.4.1 Parameters for Prediction -- 2.5 Proposed Work -- 2.6 Results and Discussion -- 2.7 Conclusion and Future Work -- References -- Chapter 3 Big Data Analytics and K-Means Clustering -- 3.1 Introduction -- 3.2 Big Data -- 3.3 Predictive Analytics -- 3.4 Predictive Modeling -- 3.5 MapReduce Abstraction -- 3.6 Resilient Distributed Datasets (RDDs) -- 3.7 Computational Phenotyping -- 3.8 Clustering -- 3.9 Medicinal Oncology
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| 505 |
8 |
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|a 3.10 Dimensionality Reduction -- 3.11 Patient Similarity -- 3.12 Distance Metric Learning -- 3.13 Graph-Based Similarity Learning -- 3.14 Clustering Challenges of Big Data -- 3.15 Algorithms for Large Datasets in Clustering -- 3.16 Privacy and Security -- 3.17 Various Approaches for Predictive Analytics -- 3.18 Why Predictive Analytics and Big Data for Electronic Health Records? -- 3.19 K-Means Clustering for Analysis of EHR -- 3.20 K-Means for Very Large-Scale Dataset -- 3.20.1 Tools and Applications in the Healthcare System -- 3.20.2 Application of Big Data in Healthcare
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| 505 |
8 |
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|a 3.20.3 K-Means Clustering -- 3.21 Partitioning Around Medoids (PAM) -- 3.22 Hierarchical -- 3.23 Density-Based Spatial Bunching of Applications with Noise (DBSCAN) -- 3.24 Compatibility Issues -- 3.25 Different Solutions, Supplementary Tasks? -- 3.26 Priorities Engagement toward Analytics -- 3.27 Paid, Free or Open Source Vendors? -- 3.28 Data Clustering Strategy -- 3.29 The Brilliant Future of Big Data in Healthcare -- 3.30 Fueling the Big Data Healthcare Revolution -- 3.31 Conclusion -- References
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| 500 |
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|a Chapter 4 Machine Learning-Based Rapid Prediction of Sudden Cardiac Death (SCD) Using Precise Statistical Features of Heart Rate Variability for Single Lead ECG Signal.
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| 650 |
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0 |
|a Medical care
|x Data processing.
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| 650 |
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0 |
|a Computer systems
|x Energy conservation.
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| 700 |
1 |
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|a Chakraborty, Chinmay.
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| 700 |
1 |
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|a Dasgupta, Kousik.
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| 758 |
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|i has work:
|a Green computing and predictive analytics for healthcare (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH4QPV8kkq6JtgPbj9Kq73
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a Banerjee, Sourav
|t Green Computing and Predictive Analytics for Healthcare
|d Milton : CRC Press LLC,c2020
|z 9780367322007
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=6378490
|y Click for online access
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| 903 |
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|a EBC-AC
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| 994 |
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|a 92
|b HCD
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