Machine learning and AI for healthcare: big data for improved health outcomes
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
[Berkley, California]
Apress
[2021]
|
Ausgabe: | Second edition |
Schlagworte: | |
Beschreibung: | Auf der Einbandrückseite: "Shelve in: Machine Learning.- User level: Intermediate". "This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data" -- Page [4] of cover |
Beschreibung: | xxx, 407 pages illustrations, graphs 26 cm |
ISBN: | 9781484265369 148426536X |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV047834919 | ||
003 | DE-604 | ||
005 | 20220302 | ||
007 | t | ||
008 | 220214s2021 a||| b||| 00||| eng d | ||
020 | |a 9781484265369 |9 978-1-4842-6536-9 | ||
020 | |a 148426536X |9 148426536X | ||
035 | |a (OCoLC)1302323787 | ||
035 | |a (DE-599)BVBBV047834919 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-1049 | ||
100 | 1 | |a Panesar, Arjun |e Verfasser |0 (DE-588)1180306791 |4 aut | |
245 | 1 | 0 | |a Machine learning and AI for healthcare |b big data for improved health outcomes |c Arjun Panesar |
250 | |a Second edition | ||
264 | 1 | |a [Berkley, California] |b Apress |c [2021] | |
300 | |a xxx, 407 pages |b illustrations, graphs |c 26 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Auf der Einbandrückseite: "Shelve in: Machine Learning.- User level: Intermediate". "This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data" -- Page [4] of cover | ||
505 | 8 | |a Chapter 1. What is artificial intelligence? -- Chapter 2. Data -- Chapter 3. What is machine learning? -- Chapter 4. Machine learning algorithms -- Chapter 5. How to perform machine learning -- Chapter 6. Preparing data -- Chapter 7. Evaluating machine learning models -- Chapter 8. Machine learning and AI ethics -- Chapter 9. What is the future of healthcare -- Chapter 10. Case studies | |
650 | 0 | 7 | |a Gesundheitswesen |0 (DE-588)4020775-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Programmierung |0 (DE-588)4076370-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
653 | 0 | |a Machine learning / Health aspects | |
653 | 0 | |a Medical care / Technological innovations | |
653 | 0 | |a Artificial intelligence / Medical applications | |
653 | 0 | |a Artificial intelligence / Medical applications | |
653 | 0 | |a Medical care / Technological innovations | |
689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 0 | 1 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
689 | 0 | 2 | |a Big Data |0 (DE-588)4802620-7 |D s |
689 | 0 | 3 | |a Gesundheitswesen |0 (DE-588)4020775-4 |D s |
689 | 0 | 4 | |a Programmierung |0 (DE-588)4076370-5 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-4842-6537-6 |
999 | |a oai:aleph.bib-bvb.de:BVB01-033218113 |
Datensatz im Suchindex
_version_ | 1804183387687092224 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Panesar, Arjun |
author_GND | (DE-588)1180306791 |
author_facet | Panesar, Arjun |
author_role | aut |
author_sort | Panesar, Arjun |
author_variant | a p ap |
building | Verbundindex |
bvnumber | BV047834919 |
contents | Chapter 1. What is artificial intelligence? -- Chapter 2. Data -- Chapter 3. What is machine learning? -- Chapter 4. Machine learning algorithms -- Chapter 5. How to perform machine learning -- Chapter 6. Preparing data -- Chapter 7. Evaluating machine learning models -- Chapter 8. Machine learning and AI ethics -- Chapter 9. What is the future of healthcare -- Chapter 10. Case studies |
ctrlnum | (OCoLC)1302323787 (DE-599)BVBBV047834919 |
edition | Second edition |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02616nam a2200505 c 4500</leader><controlfield tag="001">BV047834919</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220302 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">220214s2021 a||| b||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484265369</subfield><subfield code="9">978-1-4842-6536-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">148426536X</subfield><subfield code="9">148426536X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1302323787</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047834919</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1049</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Panesar, Arjun</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1180306791</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning and AI for healthcare</subfield><subfield code="b">big data for improved health outcomes</subfield><subfield code="c">Arjun Panesar</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Berkley, California]</subfield><subfield code="b">Apress</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxx, 407 pages</subfield><subfield code="b">illustrations, graphs</subfield><subfield code="c">26 cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Auf der Einbandrückseite: "Shelve in: Machine Learning.- User level: Intermediate". "This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data" -- Page [4] of cover</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Chapter 1. What is artificial intelligence? -- Chapter 2. Data -- Chapter 3. What is machine learning? -- Chapter 4. Machine learning algorithms -- Chapter 5. How to perform machine learning -- Chapter 6. Preparing data -- Chapter 7. Evaluating machine learning models -- Chapter 8. Machine learning and AI ethics -- Chapter 9. What is the future of healthcare -- Chapter 10. Case studies</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Gesundheitswesen</subfield><subfield code="0">(DE-588)4020775-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Programmierung</subfield><subfield code="0">(DE-588)4076370-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning / Health aspects</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medical care / Technological innovations</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Artificial intelligence / Medical applications</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Artificial intelligence / Medical applications</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medical care / Technological innovations</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Gesundheitswesen</subfield><subfield code="0">(DE-588)4020775-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Programmierung</subfield><subfield code="0">(DE-588)4076370-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-4842-6537-6</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033218113</subfield></datafield></record></collection> |
id | DE-604.BV047834919 |
illustrated | Illustrated |
index_date | 2024-07-03T19:10:08Z |
indexdate | 2024-07-10T09:22:38Z |
institution | BVB |
isbn | 9781484265369 148426536X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033218113 |
oclc_num | 1302323787 |
open_access_boolean | |
owner | DE-1049 |
owner_facet | DE-1049 |
physical | xxx, 407 pages illustrations, graphs 26 cm |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Apress |
record_format | marc |
spelling | Panesar, Arjun Verfasser (DE-588)1180306791 aut Machine learning and AI for healthcare big data for improved health outcomes Arjun Panesar Second edition [Berkley, California] Apress [2021] xxx, 407 pages illustrations, graphs 26 cm txt rdacontent n rdamedia nc rdacarrier Auf der Einbandrückseite: "Shelve in: Machine Learning.- User level: Intermediate". "This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data" -- Page [4] of cover Chapter 1. What is artificial intelligence? -- Chapter 2. Data -- Chapter 3. What is machine learning? -- Chapter 4. Machine learning algorithms -- Chapter 5. How to perform machine learning -- Chapter 6. Preparing data -- Chapter 7. Evaluating machine learning models -- Chapter 8. Machine learning and AI ethics -- Chapter 9. What is the future of healthcare -- Chapter 10. Case studies Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Programmierung (DE-588)4076370-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Machine learning / Health aspects Medical care / Technological innovations Artificial intelligence / Medical applications Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s Big Data (DE-588)4802620-7 s Gesundheitswesen (DE-588)4020775-4 s Programmierung (DE-588)4076370-5 s DE-604 Erscheint auch als Online-Ausgabe 978-1-4842-6537-6 |
spellingShingle | Panesar, Arjun Machine learning and AI for healthcare big data for improved health outcomes Chapter 1. What is artificial intelligence? -- Chapter 2. Data -- Chapter 3. What is machine learning? -- Chapter 4. Machine learning algorithms -- Chapter 5. How to perform machine learning -- Chapter 6. Preparing data -- Chapter 7. Evaluating machine learning models -- Chapter 8. Machine learning and AI ethics -- Chapter 9. What is the future of healthcare -- Chapter 10. Case studies Gesundheitswesen (DE-588)4020775-4 gnd Programmierung (DE-588)4076370-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd |
subject_GND | (DE-588)4020775-4 (DE-588)4076370-5 (DE-588)4033447-8 (DE-588)4193754-5 (DE-588)4802620-7 |
title | Machine learning and AI for healthcare big data for improved health outcomes |
title_auth | Machine learning and AI for healthcare big data for improved health outcomes |
title_exact_search | Machine learning and AI for healthcare big data for improved health outcomes |
title_exact_search_txtP | Machine learning and AI for healthcare big data for improved health outcomes |
title_full | Machine learning and AI for healthcare big data for improved health outcomes Arjun Panesar |
title_fullStr | Machine learning and AI for healthcare big data for improved health outcomes Arjun Panesar |
title_full_unstemmed | Machine learning and AI for healthcare big data for improved health outcomes Arjun Panesar |
title_short | Machine learning and AI for healthcare |
title_sort | machine learning and ai for healthcare big data for improved health outcomes |
title_sub | big data for improved health outcomes |
topic | Gesundheitswesen (DE-588)4020775-4 gnd Programmierung (DE-588)4076370-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd |
topic_facet | Gesundheitswesen Programmierung Künstliche Intelligenz Maschinelles Lernen Big Data |
work_keys_str_mv | AT panesararjun machinelearningandaiforhealthcarebigdataforimprovedhealthoutcomes |