Artificial Neural Networks in Biomedicine:
Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, co...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2000
|
| Ausgabe: | 1st ed. 2000 |
| Schriftenreihe: | Perspectives in Neural Computing
|
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, convincingly, the distinct benefits of neural networks, although many ofthese have only undergone a limited clinical evaluation. Healthcare providers and developers alike have discovered that medicine and healthcare are fertile areas for neural networks: the problems here require expertise and often involve non-trivial pattern recognition tasks - there are genuine difficulties with conventional methods, and data can be plentiful. The intense research activities in medical neural networks, and allied areas of artificial intelligence, have led to a substantial body of knowledge and the introduction of some neural systems into clinical practice. An aim of this book is to provide a coherent framework for some of the most experienced users and developers of medical neural networks in the world to share their knowledge and expertise with readers |
| Beschreibung: | 1 Online-Ressource (XIV, 288 p. 30 illus) |
| ISBN: | 9781447104872 |
| DOI: | 10.1007/978-1-4471-0487-2 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047064137 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201216s2000 |||| o||u| ||||||eng d | ||
| 020 | |a 9781447104872 |9 978-1-4471-0487-2 | ||
| 024 | 7 | |a 10.1007/978-1-4471-0487-2 |2 doi | |
| 035 | |a (ZDB-2-SCS)978-1-4471-0487-2 | ||
| 035 | |a (OCoLC)1227480513 | ||
| 035 | |a (DE-599)BVBBV047064137 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 082 | 0 | |a 006.3 |2 23 | |
| 245 | 1 | 0 | |a Artificial Neural Networks in Biomedicine |c edited by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak |
| 250 | |a 1st ed. 2000 | ||
| 264 | 1 | |a London |b Springer London |c 2000 | |
| 300 | |a 1 Online-Ressource (XIV, 288 p. 30 illus) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Perspectives in Neural Computing | |
| 520 | |a Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, convincingly, the distinct benefits of neural networks, although many ofthese have only undergone a limited clinical evaluation. Healthcare providers and developers alike have discovered that medicine and healthcare are fertile areas for neural networks: the problems here require expertise and often involve non-trivial pattern recognition tasks - there are genuine difficulties with conventional methods, and data can be plentiful. The intense research activities in medical neural networks, and allied areas of artificial intelligence, have led to a substantial body of knowledge and the introduction of some neural systems into clinical practice. An aim of this book is to provide a coherent framework for some of the most experienced users and developers of medical neural networks in the world to share their knowledge and expertise with readers | ||
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Health Informatics | |
| 650 | 4 | |a Complex Systems | |
| 650 | 4 | |a Statistical Physics and Dynamical Systems | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Health informatics | |
| 650 | 4 | |a Statistical physics | |
| 650 | 4 | |a Dynamical systems | |
| 700 | 1 | |a Lisboa, Paulo J.G. |4 edt | |
| 700 | 1 | |a Ifeachor, Emmanuel C. |4 edt | |
| 700 | 1 | |a Szczepaniak, Piotr S. |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781852330057 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781447104889 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4471-0487-2 |x Verlag |z URL des Eerstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-SCS | ||
| 940 | 1 | |q ZDB-2-SCS_2000/2004 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032471249 | ||
| 966 | e | |u https://doi.org/10.1007/978-1-4471-0487-2 |l UBY01 |p ZDB-2-SCS |q ZDB-2-SCS_2000/2004 |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804182061766934528 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Lisboa, Paulo J.G Ifeachor, Emmanuel C. Szczepaniak, Piotr S. |
| author2_role | edt edt edt |
| author2_variant | p j l pj pjl e c i ec eci p s s ps pss |
| author_facet | Lisboa, Paulo J.G Ifeachor, Emmanuel C. Szczepaniak, Piotr S. |
| building | Verbundindex |
| bvnumber | BV047064137 |
| collection | ZDB-2-SCS |
| ctrlnum | (ZDB-2-SCS)978-1-4471-0487-2 (OCoLC)1227480513 (DE-599)BVBBV047064137 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-1-4471-0487-2 |
| edition | 1st ed. 2000 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02969nmm a2200517zc 4500</leader><controlfield tag="001">BV047064137</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201216s2000 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781447104872</subfield><subfield code="9">978-1-4471-0487-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4471-0487-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SCS)978-1-4471-0487-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227480513</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047064137</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Neural Networks in Biomedicine</subfield><subfield code="c">edited by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2000</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London</subfield><subfield code="b">Springer London</subfield><subfield code="c">2000</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIV, 288 p. 30 illus)</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Perspectives in Neural Computing</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, convincingly, the distinct benefits of neural networks, although many ofthese have only undergone a limited clinical evaluation. Healthcare providers and developers alike have discovered that medicine and healthcare are fertile areas for neural networks: the problems here require expertise and often involve non-trivial pattern recognition tasks - there are genuine difficulties with conventional methods, and data can be plentiful. The intense research activities in medical neural networks, and allied areas of artificial intelligence, have led to a substantial body of knowledge and the introduction of some neural systems into clinical practice. An aim of this book is to provide a coherent framework for some of the most experienced users and developers of medical neural networks in the world to share their knowledge and expertise with readers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Informatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complex Systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Physics and Dynamical Systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health informatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamical systems</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lisboa, Paulo J.G.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ifeachor, Emmanuel C.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Szczepaniak, Piotr S.</subfield><subfield code="4">edt</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">9781852330057</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">9781447104889</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4471-0487-2</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Eerstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SCS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SCS_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032471249</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4471-0487-2</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="q">ZDB-2-SCS_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047064137 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:34Z |
| institution | BVB |
| isbn | 9781447104872 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471249 |
| oclc_num | 1227480513 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 Online-Ressource (XIV, 288 p. 30 illus) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
| publishDate | 2000 |
| publishDateSearch | 2000 |
| publishDateSort | 2000 |
| publisher | Springer London |
| record_format | marc |
| series2 | Perspectives in Neural Computing |
| spelling | Artificial Neural Networks in Biomedicine edited by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak 1st ed. 2000 London Springer London 2000 1 Online-Ressource (XIV, 288 p. 30 illus) txt rdacontent c rdamedia cr rdacarrier Perspectives in Neural Computing Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, convincingly, the distinct benefits of neural networks, although many ofthese have only undergone a limited clinical evaluation. Healthcare providers and developers alike have discovered that medicine and healthcare are fertile areas for neural networks: the problems here require expertise and often involve non-trivial pattern recognition tasks - there are genuine difficulties with conventional methods, and data can be plentiful. The intense research activities in medical neural networks, and allied areas of artificial intelligence, have led to a substantial body of knowledge and the introduction of some neural systems into clinical practice. An aim of this book is to provide a coherent framework for some of the most experienced users and developers of medical neural networks in the world to share their knowledge and expertise with readers Artificial Intelligence Health Informatics Complex Systems Statistical Physics and Dynamical Systems Artificial intelligence Health informatics Statistical physics Dynamical systems Lisboa, Paulo J.G. edt Ifeachor, Emmanuel C. edt Szczepaniak, Piotr S. edt Erscheint auch als Druck-Ausgabe 9781852330057 Erscheint auch als Druck-Ausgabe 9781447104889 https://doi.org/10.1007/978-1-4471-0487-2 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Artificial Neural Networks in Biomedicine Artificial Intelligence Health Informatics Complex Systems Statistical Physics and Dynamical Systems Artificial intelligence Health informatics Statistical physics Dynamical systems |
| title | Artificial Neural Networks in Biomedicine |
| title_auth | Artificial Neural Networks in Biomedicine |
| title_exact_search | Artificial Neural Networks in Biomedicine |
| title_exact_search_txtP | Artificial Neural Networks in Biomedicine |
| title_full | Artificial Neural Networks in Biomedicine edited by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak |
| title_fullStr | Artificial Neural Networks in Biomedicine edited by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak |
| title_full_unstemmed | Artificial Neural Networks in Biomedicine edited by Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak |
| title_short | Artificial Neural Networks in Biomedicine |
| title_sort | artificial neural networks in biomedicine |
| topic | Artificial Intelligence Health Informatics Complex Systems Statistical Physics and Dynamical Systems Artificial intelligence Health informatics Statistical physics Dynamical systems |
| topic_facet | Artificial Intelligence Health Informatics Complex Systems Statistical Physics and Dynamical Systems Artificial intelligence Health informatics Statistical physics Dynamical systems |
| url | https://doi.org/10.1007/978-1-4471-0487-2 |
| work_keys_str_mv | AT lisboapaulojg artificialneuralnetworksinbiomedicine AT ifeachoremmanuelc artificialneuralnetworksinbiomedicine AT szczepaniakpiotrs artificialneuralnetworksinbiomedicine |