Internet of things and personalized healthcare systems:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Puchong, Selangor D.E.
Springer Singapore
2019
Springer 2019 |
| Schriftenreihe: | SpringerBriefs in AppliedSciences and Technology : forensic and medical bioinformatics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext http://www.springer.com/ Inhaltsverzeichnis |
| Beschreibung: | IX, 132 Seiten Illustrationen 23.5 cm x 15.5 cm |
| ISBN: | 9789811308659 9811308659 |
Internformat
MARC
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| 653 | |a Personalized Medicine | ||
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Datensatz im Suchindex
| _version_ | 1804179443491536896 |
|---|---|
| adam_text | Contents 1 2 Sensitivity Analysis of Micro Mass Optical MEMS Sensor for Biomedical IoT Devices...................................................................... Mala Serene, Rajasekhara Babu and Zachariah C. Alex 1.1 Introduction.................................................................................... 1.2 Modeling and Simulation............................................................... 1.3 Different Shapes of Cantilever...................................................... 1.4 Rectangular-Shaped Micro Mass Optical MEMS Sensor......... 1.5 Trapezoidal/Triangular-Shaped Micro Mass Optical MEMS Sensor .............................................................................................. 1.6 Step Profile-Shaped Micro Mass Optical MEMS Sensor......... 1.7 Results and Discussion.................................................................. 1.8 Conclusion....................................................................................... References..................................................................................................... Enhancing the Performance of Decision Tree Using NSUM Technique for DiabetesPatients.............................................................. Nithya Settu and M. Rajasekhara Babu 2.1 Introduction.................................................................................... 2.2 Related Work.................................................................................. 2.3 Mutual Information......................................................................... 2.3.1 Symmetric
Uncertainty.................................................... 2.3.2 Proposed Algorithm........................................................ 2.4 Experimental Result and Discussion............................................. 2.5 Conclusion and Future Scope........................................................ References..................................................................................................... 1 1 2 3 4 5 7 8 11 11 13 13 16 17 17 18 18 19 19 v
VI 3 4 5 Contents A Novel Framework for Healthcare Monitoring System Through Cyber-Physical System............................................................. K. Monisha and M. Rajasekhara Babu 3.1 Introduction.................................................................................... 3.2 Related Work.................................................................................. 3.2.1 Wireless Body Area Network (WBAN) in Healthcare System...................................................... 3.2.2 Electronic Health Record (EHR) Assisted by Cloud........................................................................... 3.2.3 Data Security in Healthcare Application........................ 3.3 Framework for HeaUhcare ApplicationThrough CPS................ 3.4 Internet of Medical Things (IoMT)............................................... 3.5 Proposed Method........................................................................... 3.6 Result and Discussion.................................................................... 3.7 Conclusion....................................................................................... References..................................................................................................... An IoT Model to Improve Cognitive Skills of Student Learning Experience Using Neurosensors............................................. Abhishek Padhi, M. Rajasekhara Babu, Bhasker Jha and Shrutisha Joshi 4.1 Introduction.................................................................................... 4.1.1 Needs or
Requirements.................................................... 4.1.2 Why This Work?............................................................. 4.1.3 ThinkGear Measurements (MindSetPro/TGEM)........... 4.2 Existing Methods........................................................................... 4.3 Proposed Method........................................................................... 4.4 Result and Discussion.................................................................... 4.5 Conclusion....................................................................................... References..................................................................................................... AdaBoost with Feature Selection Using IoT to Bring the Paths for Somatic Mutations Evaluation in Cancer................... Anuradha Chokka and K. Sandhya Rani 5.1 Introduction..................................................................................... 5.1.1 AdaBoost Technique........................................................ 5.1.2 Feature Selection Techniques........................................ 5.1.3 Internet of Things (IoT)................................................. 5.1.4 Challenges in Sequencing............................................... 5.2 Existing Models............................................................................. 5.3 Methodology.................................................................................. 5.3.1 Redundancy and RelevancyAnalysis Approach........... 5.3.2 Feature Redundancy and FeatureRelevancy..................
5.3.3 Defining a Framework of AdaBoost Technique with Feature Selection...................................................... 21 22 23 23 24 26 27 29 30 32 33 34 37 37 37 38 40 41 45 47 48 49 51 51 52 52 53 53 54 55 55 56 56
Contents vii 5.3.4 Schematic Representation forthe Proposed Algorithm......................................................................... 5.3.5 Algorithm and Analysis................................................. 5.3.6 IoT Wearables to Detect Cancer................................... 5.4 Conclusions..................................................................................... References..................................................................................................... 6 7 8 9 A Fuzzy-Based Expert System to Diagnose Alzheimer’s Disease.......................................................................................................... R. M. Mallika, K. UshaRani and K. Hemalatha 6.1 Introduction..................................................................................... 6.2 Literature Survey ........................................................................... 6.3 Materials and Methods.................................................................. 6.3.1 Dataset................................................................................ 6.3.2 Proposed Methodology.................................................... 6.4 Experimental Results...................................................................... 6.5 Conclusion....................................................................................... References..................................................................................................... Secured Architecture for Internet of Things-Enabled Personalized Healthcare Systems
........................................................... Vikram Neerugatti and A. Rama Mohan Reddy 7.1 Introduction.................................................................................... 7.2 Related Work.................................................................................. 7.3 Proposed Architecture.................................................................... 7.4 Conclusion....................................................................................... References..................................................................................................... Role of Imaging Modality in Premature Detection of Bosom Irregularity................................................................................................... Modepalli Kavitha, P. Venkata Krishna and V. Saritha 8.1 Introduction.................................................................................... 8.2 Mammography................................................................................ 8.3 Thermography ................................................................................ 8.4 Result Analysis................................................................................ 8.5 Conclusion....................................................................................... 8.6 Future Work.................................................................................... References..................................................................................................... Healthcare Application Development in Mobile and Cloud
Environments......................................................................... B. Mallikarjuna and D. Arun Kumar Reddy 9.1 Introduction.................................................................................... 9.2 Related Work.................................................................................. 9.3 Analysis of Health Diseases........................................................... 57 57 58 61 62 65 65 66 67 67 67 72 73 73 75 75 77 77 79 79 81 81 83 85 88 90 91 91 93 93 94 95
viii Contents 9.4 Proposed Application Overview.................................................... 9.5 Experimental Evaluation................................................................ 9.6 Conclusion....................................................................................... References..................................................................................................... 10 A Computational Approach to Predict Diabetic Retinopathy Through Data Analytics........................................................................... Ashraf Ali Shaik, Ch Prathima and Naresh Babu Muppalaneni 10.1 Introduction.................................................................................... 10.1.1 Steps in Algorithm........................................................... 10.2 Methodology.................................................................................. 10.2.1 Description of Dataset...................................................... 10.2.2 Attribute Information...................................................... 10.2.3 Cross-Validation............................................................... 10.2.4 Classification Matrix........................................................ 10.2.5 Bagging and Boosting...................................................... 10.3 Performance Measures.................................................................... 10.3.1 Accuracy........................................................................... 10.3.2
Sensitivity......................................................................... 10.3.3 Specificity......................................................................... 10.3.4 Classification Matrix........................................................ 10.4 Tools Used and Results Discussion............................................. 10.5 Conclusion....................................................................................... References..................................................................................................... 97 99 102 103 105 105 107 107 107 108 108 108 109 109 109 109 110 110 110 Ill 112 11 Diagnosis of Chest Diseases Using ArtificialNeuralNetworks .... 113 Himaja Gadi, G. Lavanya Devi and N. Ramesh 11.1 Introduction..................................................................................... 113 11.2 Method.............................................................................................. 114 11.3 Neural Networks.............................................................................. 114 11.4 Types of Neural Networks............................................................. 114 11.5 Back-Propagation Algorithm........................................................ 116 11.6 Architecture..................................................................................... 117 11.7 Validation Checks........................................................................... 117 11.8 Results and Description.................................................................. 117 11.9
Conclusion....................................................................................... 119 References..................................................................................................... 119 12 Study on Efficient and AdaptiveReproducingManagement in Hadoop Distributed File System............................................................. P. Satheesh, B. Srinivas, P. R. S. Naidu and B. Prasanth Kumar 12.1 Introduction.................................................................................... 12.2 Related Work.................................................................................. 121 121 122
Contents ix 12.2.1 Distributed Storage........................................................... 123 12.2.2 Information Replication.................................................... 124 12.2.3 Replica Placement........................................................... 125 12.3 Existing System............................................................................. 127 12.3.1 Data Locality Problem.................................................... 127 12.4 Proposed System............................................................................. 127 12.4.1 System Description........................................................... 127 12.4.2 Replication Management................................................. 129 12.5 Results.............................................................................................. 130 12.6 Conclusion....................................................................................... 131 References..................................................................................................... 131
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| spelling | Krishna, P. Venkata 1977- Verfasser (DE-588)1127654705 aut Internet of things and personalized healthcare systems P. Venkata Krishna, Sasikumar Gurumoorthy, Mohammad S. Obaidat Puchong, Selangor D.E. Springer Singapore 2019 Springer 2019 IX, 132 Seiten Illustrationen 23.5 cm x 15.5 cm txt rdacontent n rdamedia nc rdacarrier SpringerBriefs in AppliedSciences and Technology : forensic and medical bioinformatics Gesundheitsinformationssystem (DE-588)4113742-5 gnd rswk-swf Internet der Dinge (DE-588)7713781-4 gnd rswk-swf UYQ Data Mining E-health Machine Learning Mobile Cloud Neural Networks Online Social Networks Pattern Recognition Personalized Medicine UN MBG Internet der Dinge (DE-588)7713781-4 s Gesundheitsinformationssystem (DE-588)4113742-5 s DE-604 Gurumoorthy, Sasikumar Verfasser aut Obaidat, Mohammad S. 1952- Verfasser (DE-588)142140619 aut Springer Malaysia Representative Office (DE-588)1065365012 pbl Erscheint auch als Online-Ausgabe 9789811308666 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=8b5edeb09d8e4c97924c3851660753e4&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB http://www.springer.com/ Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030889600&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Krishna, P. Venkata 1977- Gurumoorthy, Sasikumar Obaidat, Mohammad S. 1952- Internet of things and personalized healthcare systems Gesundheitsinformationssystem (DE-588)4113742-5 gnd Internet der Dinge (DE-588)7713781-4 gnd |
| subject_GND | (DE-588)4113742-5 (DE-588)7713781-4 |
| title | Internet of things and personalized healthcare systems |
| title_auth | Internet of things and personalized healthcare systems |
| title_exact_search | Internet of things and personalized healthcare systems |
| title_full | Internet of things and personalized healthcare systems P. Venkata Krishna, Sasikumar Gurumoorthy, Mohammad S. Obaidat |
| title_fullStr | Internet of things and personalized healthcare systems P. Venkata Krishna, Sasikumar Gurumoorthy, Mohammad S. Obaidat |
| title_full_unstemmed | Internet of things and personalized healthcare systems P. Venkata Krishna, Sasikumar Gurumoorthy, Mohammad S. Obaidat |
| title_short | Internet of things and personalized healthcare systems |
| title_sort | internet of things and personalized healthcare systems |
| topic | Gesundheitsinformationssystem (DE-588)4113742-5 gnd Internet der Dinge (DE-588)7713781-4 gnd |
| topic_facet | Gesundheitsinformationssystem Internet der Dinge |
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