Green AI-powered intelligent systems for disease prognosis:
Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, s...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
|
| Schriftenreihe: | Advances in medical diagnosis, treatment, and care (AMDTC) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-1050 Volltext |
| Zusammenfassung: | Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage. |
| Beschreibung: | 1 Online-Ressource (423 Seiten) |
| DOI: | 10.4018/979-8-3693-1243-8 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049869261 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240917s2024 xx o|||| 00||| eng d | ||
| 020 | |z 9798369312445 |9 9798369312445 | ||
| 024 | 7 | |a 10.4018/979-8-3693-1243-8 |2 doi | |
| 035 | |a (ZDB-98-IGB)00327031 | ||
| 035 | |a (OCoLC)1466901567 | ||
| 035 | |a (DE-599)BVBBV049869261 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-1050 | ||
| 082 | 0 | |a 610.285 | |
| 084 | |a WIR 523 |2 stub | ||
| 084 | |a DAT 000 |2 stub | ||
| 245 | 1 | 0 | |a Green AI-powered intelligent systems for disease prognosis |c Saikat Gochhait, editor |
| 246 | 1 | 3 | |a Green artificial intelligence-powered intelligent systems for disease prognosis |
| 264 | 1 | |a Hershey, Pennsylvania |b IGI Global |c 2024 | |
| 300 | |a 1 Online-Ressource (423 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Advances in medical diagnosis, treatment, and care (AMDTC) book series | |
| 520 | |a Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage. | ||
| 650 | 4 | |a Artificial intelligence |x Medical applications | |
| 650 | 4 | |a Diagnosis |x Techological innovations | |
| 700 | 1 | |a Gochhait, Saikat |d 1974- |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9798369312438 |
| 856 | 4 | 0 | |u https://doi.org/10.4018/979-8-3693-1243-8 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035208767 | |
| 966 | e | |u https://doi.org/10.4018/979-8-3693-1243-8 |l DE-91 |p ZDB-98-IGB |q TUM_Paketkauf_2024 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4018/979-8-3693-1243-8 |l DE-1050 |p ZDB-98-IGB |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1818715325644931072 |
|---|---|
| adam_text | |
| any_adam_object | |
| author2 | Gochhait, Saikat 1974- |
| author2_role | edt |
| author2_variant | s g sg |
| author_facet | Gochhait, Saikat 1974- |
| building | Verbundindex |
| bvnumber | BV049869261 |
| classification_tum | WIR 523 DAT 000 |
| collection | ZDB-98-IGB |
| ctrlnum | (ZDB-98-IGB)00327031 (OCoLC)1466901567 (DE-599)BVBBV049869261 |
| dewey-full | 610.285 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.285 |
| dewey-search | 610.285 |
| dewey-sort | 3610.285 |
| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Wirtschaftswissenschaften Medizin |
| doi_str_mv | 10.4018/979-8-3693-1243-8 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV049869261</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240917s2024 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369312445</subfield><subfield code="9">9798369312445</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-1243-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-98-IGB)00327031</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1466901567</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049869261</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-91</subfield><subfield code="a">DE-1050</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610.285</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WIR 523</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Green AI-powered intelligent systems for disease prognosis</subfield><subfield code="c">Saikat Gochhait, editor</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Green artificial intelligence-powered intelligent systems for disease prognosis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania</subfield><subfield code="b">IGI Global</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (423 Seiten)</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">Advances in medical diagnosis, treatment, and care (AMDTC) book series</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Medical applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diagnosis</subfield><subfield code="x">Techological innovations</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gochhait, Saikat</subfield><subfield code="d">1974-</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">9798369312438</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4018/979-8-3693-1243-8</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035208767</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/979-8-3693-1243-8</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">TUM_Paketkauf_2024</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/979-8-3693-1243-8</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049869261 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-17T19:01:34Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035208767 |
| oclc_num | 1466901567 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-1050 |
| owner_facet | DE-91 DE-BY-TUM DE-1050 |
| physical | 1 Online-Ressource (423 Seiten) |
| psigel | ZDB-98-IGB ZDB-98-IGB TUM_Paketkauf_2024 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| series2 | Advances in medical diagnosis, treatment, and care (AMDTC) book series |
| spelling | Green AI-powered intelligent systems for disease prognosis Saikat Gochhait, editor Green artificial intelligence-powered intelligent systems for disease prognosis Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (423 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in medical diagnosis, treatment, and care (AMDTC) book series Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage. Artificial intelligence Medical applications Diagnosis Techological innovations Gochhait, Saikat 1974- edt Erscheint auch als Druck-Ausgabe 9798369312438 https://doi.org/10.4018/979-8-3693-1243-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Green AI-powered intelligent systems for disease prognosis Artificial intelligence Medical applications Diagnosis Techological innovations |
| title | Green AI-powered intelligent systems for disease prognosis |
| title_alt | Green artificial intelligence-powered intelligent systems for disease prognosis |
| title_auth | Green AI-powered intelligent systems for disease prognosis |
| title_exact_search | Green AI-powered intelligent systems for disease prognosis |
| title_full | Green AI-powered intelligent systems for disease prognosis Saikat Gochhait, editor |
| title_fullStr | Green AI-powered intelligent systems for disease prognosis Saikat Gochhait, editor |
| title_full_unstemmed | Green AI-powered intelligent systems for disease prognosis Saikat Gochhait, editor |
| title_short | Green AI-powered intelligent systems for disease prognosis |
| title_sort | green ai powered intelligent systems for disease prognosis |
| topic | Artificial intelligence Medical applications Diagnosis Techological innovations |
| topic_facet | Artificial intelligence Medical applications Diagnosis Techological innovations |
| url | https://doi.org/10.4018/979-8-3693-1243-8 |
| work_keys_str_mv | AT gochhaitsaikat greenaipoweredintelligentsystemsfordiseaseprognosis AT gochhaitsaikat greenartificialintelligencepoweredintelligentsystemsfordiseaseprognosis |