IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications
IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, inclu...
Saved in:
| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London San Diego, CA
Academic Press
[2021]
|
| Series: | Intelligent data centric systems
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9780128214763/?ar |
| Summary: | IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. |
| Item Description: | Online resource; title from digital title page (viewed on February 27, 2021) |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 0128214767 9780128214763 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-081558619 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121213.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220815s2021 xx |||||o 00| ||eng c | ||
| 020 | |a 0128214767 |9 0-12-821476-7 | ||
| 020 | |a 9780128214763 |c electronic book |9 978-0-12-821476-3 | ||
| 035 | |a (DE-627-1)081558619 | ||
| 035 | |a (DE-599)KEP081558619 | ||
| 035 | |a (ORHE)9780128214763 | ||
| 035 | |a (DE-627-1)081558619 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 610.21 |2 23 | |
| 082 | 0 | |a 610.727 |2 23 | |
| 245 | 0 | 0 | |a IoT-Based Data Analytics for the Healthcare Industry |b Techniques and Applications |c edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary |
| 264 | 1 | |a London |a San Diego, CA |b Academic Press |c [2021] | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Intelligent data centric systems | |
| 500 | |a Online resource; title from digital title page (viewed on February 27, 2021) | ||
| 520 | |a IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. | ||
| 650 | 0 | |a Medical statistics |x Data processing | |
| 650 | 0 | |a Internet of things | |
| 650 | 4 | |a Internet des objets | |
| 650 | 4 | |a Internet of things | |
| 650 | 4 | |a Medical statistics ; Data processing | |
| 700 | 1 | |a Singh, S. K. |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Singh, Ravi Shankar |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Pandey, Anil Kumar |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Udmale, Sandeep S |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Chaudhary, Ankit |e HerausgeberIn |4 edt | |
| 776 | 1 | |z 9780128214725 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780128214725 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9780128214763/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-081558619 |
|---|---|
| _version_ | 1831287038668701697 |
| adam_text | |
| any_adam_object | |
| author2 | Singh, S. K. Singh, Ravi Shankar Pandey, Anil Kumar Udmale, Sandeep S Chaudhary, Ankit |
| author2_role | edt edt edt edt edt |
| author2_variant | s k s sk sks r s s rs rss a k p ak akp s s u ss ssu a c ac |
| author_facet | Singh, S. K. Singh, Ravi Shankar Pandey, Anil Kumar Udmale, Sandeep S Chaudhary, Ankit |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)081558619 (DE-599)KEP081558619 (ORHE)9780128214763 |
| dewey-full | 610.21 610.727 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.21 610.727 |
| dewey-search | 610.21 610.727 |
| dewey-sort | 3610.21 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03133cam a22005052c 4500</leader><controlfield tag="001">ZDB-30-ORH-081558619</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121213.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220815s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0128214767</subfield><subfield code="9">0-12-821476-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128214763</subfield><subfield code="c">electronic book</subfield><subfield code="9">978-0-12-821476-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)081558619</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP081558619</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9780128214763</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)081558619</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610.21</subfield><subfield code="2">23</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610.727</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">IoT-Based Data Analytics for the Healthcare Industry</subfield><subfield code="b">Techniques and Applications</subfield><subfield code="c">edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London</subfield><subfield code="a">San Diego, CA</subfield><subfield code="b">Academic Press</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Intelligent data centric systems</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from digital title page (viewed on February 27, 2021)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Medical statistics</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Internet of things</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet des objets</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet of things</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Medical statistics ; Data processing</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Singh, S. K.</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Singh, Ravi Shankar</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pandey, Anil Kumar</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Udmale, Sandeep S</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chaudhary, Ankit</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9780128214725</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780128214725</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9780128214763/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-081558619 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:23:34Z |
| institution | BVB |
| isbn | 0128214767 9780128214763 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Academic Press |
| record_format | marc |
| series2 | Intelligent data centric systems |
| spelling | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary London San Diego, CA Academic Press [2021] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Intelligent data centric systems Online resource; title from digital title page (viewed on February 27, 2021) IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing Singh, S. K. HerausgeberIn edt Singh, Ravi Shankar HerausgeberIn edt Pandey, Anil Kumar HerausgeberIn edt Udmale, Sandeep S HerausgeberIn edt Chaudhary, Ankit HerausgeberIn edt 9780128214725 Erscheint auch als Druck-Ausgabe 9780128214725 |
| spellingShingle | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing |
| title | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications |
| title_auth | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications |
| title_exact_search | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications |
| title_full | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary |
| title_fullStr | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary |
| title_full_unstemmed | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary |
| title_short | IoT-Based Data Analytics for the Healthcare Industry |
| title_sort | iot based data analytics for the healthcare industry techniques and applications |
| title_sub | Techniques and Applications |
| topic | Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing |
| topic_facet | Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing |
| work_keys_str_mv | AT singhsk iotbaseddataanalyticsforthehealthcareindustrytechniquesandapplications AT singhravishankar iotbaseddataanalyticsforthehealthcareindustrytechniquesandapplications AT pandeyanilkumar iotbaseddataanalyticsforthehealthcareindustrytechniquesandapplications AT udmalesandeeps iotbaseddataanalyticsforthehealthcareindustrytechniquesandapplications AT chaudharyankit iotbaseddataanalyticsforthehealthcareindustrytechniquesandapplications |