소장자료
LDR | 01563nam a2200000 a | ||
001 | 0100820294▲ | ||
005 | 20240925160521▲ | ||
007 | ta▲ | ||
008 | 240806s2023 si a b 000 0 eng d▲ | ||
020 | ▼a9789819903689▼q(hbk.)▲ | ||
040 | ▼a221016▼c221016▲ | ||
082 | 0 | 4 | ▼a616.9101029▼223▲ |
090 | ▼a616.9101029▼bA791c▲ | ||
245 | 0 | 0 | ▼aArtificial intelligence in medical virology /▼cedited by Jyotir Moy Chatterjee, Shailendra K. Saxena.▲ |
260 | ▼aSingapore :▼bSpringer,▼c2023.▲ | ||
300 | ▼axvi, 189 p. :▼bill. (col.) ;▼c25 cm.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼aunmediated▼bn▼2rdamedia▲ | ||
338 | ▼avolume▼bnc▼2rdacarrier▲ | ||
490 | 0 | ▼aMedical virology:from pathogenesis to disease control,▼x2662-981X▲ | |
504 | ▼aIncludes bibliographical references.▲ | ||
505 | 0 | ▼aChapter 1. Artificial Intelligence for Global Healthcare -- Chapter 2. Artificial Intelligence for Epidemiology COVID-19: Quick Assessment -- Chapter 3. Artificial Intelligence in rural health in developing countries -- Chapter 4. THE ROLE OF ARTIFICIAL INTELLIGENCE TO TRACK COVID-19 DISEASE -- Chapter 5. Artificial Intelligence Techniques based on K-Means two way Clustering and Greedy Triclustering approach for 3D Gene Expression Data (GED) -- Chapter 6. Detection of COVID-19 cases from X-Ray and CT Images using Transfer Learning & Deep Convolution Neural Networks -- Chapter 7. Computer Vision: Augmented Reality (AR), Virtual Reality (VR), Telehealth and Digital Radiology -- Chapter 8. STROKE DISEASE PREDICTION MODEL USING ANOVA WITH CLASSIFICATION ALGORITHMS -- Chapter 9. A CONCISE REVIEW ON DEVELOPMENTAL AND EVALUATION METHODS OF ARTIFICIAL INTELLIGENCE ON COVID 19 DETECTION -- Chapter 10. Artificial Intelligence based Healthcare Industry 4.0 for Disease Detection using Machine Learning Techniques -- Chapter 11. Deep Autoencoder Neural Networks for Heart Sound Classification.▲ | |
650 | 0 | ▼aMedical virology▼xData processing.▲ | |
650 | 0 | ▼aVirus diseases▼xData processing.▲ | |
650 | 0 | ▼aArtificial intelligence▼xMedical applications.▲ | |
700 | 1 | ▼aChatterjee, Jyotir Moy▼0384354▲ | |
700 | 1 | ▼aSaxena, Shailendra K.▲ |
Artificial intelligence in medical virology
자료유형
국외단행본
서명/책임사항
Artificial intelligence in medical virology / edited by Jyotir Moy Chatterjee, Shailendra K. Saxena.
발행사항
Singapore : Springer , 2023.
형태사항
xvi, 189 p. : ill. (col.) ; 25 cm.
총서사항
서지주기
Includes bibliographical references.
내용주기
Chapter 1. Artificial Intelligence for Global Healthcare -- Chapter 2. Artificial Intelligence for Epidemiology COVID-19: Quick Assessment -- Chapter 3. Artificial Intelligence in rural health in developing countries -- Chapter 4. THE ROLE OF ARTIFICIAL INTELLIGENCE TO TRACK COVID-19 DISEASE -- Chapter 5. Artificial Intelligence Techniques based on K-Means two way Clustering and Greedy Triclustering approach for 3D Gene Expression Data (GED) -- Chapter 6. Detection of COVID-19 cases from X-Ray and CT Images using Transfer Learning & Deep Convolution Neural Networks -- Chapter 7. Computer Vision: Augmented Reality (AR), Virtual Reality (VR), Telehealth and Digital Radiology -- Chapter 8. STROKE DISEASE PREDICTION MODEL USING ANOVA WITH CLASSIFICATION ALGORITHMS -- Chapter 9. A CONCISE REVIEW ON DEVELOPMENTAL AND EVALUATION METHODS OF ARTIFICIAL INTELLIGENCE ON COVID 19 DETECTION -- Chapter 10. Artificial Intelligence based Healthcare Industry 4.0 for Disease Detection using Machine Learning Techniques -- Chapter 11. Deep Autoencoder Neural Networks for Heart Sound Classification.
주제
ISBN
9789819903689
청구기호
616.9101029 A791c
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