Explainable Artificial Intelligence in Healthcare Systems
Saved in:
| Title: | Explainable Artificial Intelligence in Healthcare Systems |
|---|---|
| Description: | The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and explainable artificial intelligence. They cover recent advances in the field of healthcare, reflect the current discourse, and offer suggestions for future research. The book is divided into four sections: primitive concepts of XAI, XAI in smart tele-medicine and tele-health, public health application using XAI, and medical imaging classification using XAI. Thus, the book covers a comprehensive set of material ranging from fundamentals to image analysis employing XAI ideas. |
| Authors: | Anitha A. Kamaraj |
| Resource Type: | eBook. |
| Subjects: | Artificial intelligence--Medical applications |
| Categories: | COMPUTERS / Data Science / Machine Learning |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 3843488 RelevancyScore: 1123 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1122.83581542969 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3843488$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3843488$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Explainable Artificial Intelligence in Healthcare Systems – Name: Abstract Label: Description Group: Ab Data: The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and explainable artificial intelligence. They cover recent advances in the field of healthcare, reflect the current discourse, and offer suggestions for future research. The book is divided into four sections: primitive concepts of XAI, XAI in smart tele-medicine and tele-health, public health application using XAI, and medical imaging classification using XAI. Thus, the book covers a comprehensive set of material ranging from fundamentals to image analysis employing XAI ideas. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Anitha+A%2E+Kamaraj%22">Anitha A. Kamaraj</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3843488 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 610.285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence--Medical applications Type: general Titles: – TitleFull: Explainable Artificial Intelligence in Healthcare Systems Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Anitha A. Kamaraj – PersonEntity: Name: NameFull: Anitha A. Kamaraj IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 03 M: 05 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9798891135987 – Type: isbn-electronic Value: 9798891136670 Titles: – TitleFull: Explainable Artificial Intelligence in Healthcare Systems Type: main |
| ResultId | 1 |