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Record Nr. |
UNINA9911004751603321 |
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Autore |
Imoize Agbotiname Lucky |
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Titolo |
Explainable Artificial Intelligence in Medical Decision Support Systems |
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Pubbl/distr/stampa |
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Jefferson : , : Institution of Engineering & Technology, , 2023 |
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©2023 |
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ISBN |
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1-83724-479-0 |
1-5231-5351-2 |
1-83953-621-7 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (490 pages) |
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Collana |
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Altri autori (Persone) |
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HemanthJude |
DoDinh-Thuan |
SurSamarendra Nath |
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Disciplina |
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Soggetti |
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Medical informatics |
Artificial intelligence - Medical applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): healthcare systems perspective -- Chapter 2: Explainable artificial intelligence (XAI) in medical decision support systems (MDSS): applicability, prospects, legal implications, and challenges -- Chapter 3: Explainable Artificial Intelligence-based framework for medical decision support systems -- Chapter 4: Prototype interface for detecting mental fatigue with EEG and XAI frameworks in Industry 4.0 -- Chapter 5: XAI for medical image segmentation in medical decision support systems -- Chapter 6: XAI robot-assisted surgeries in future medical decision support systems -- Chapter 7: Prediction of erythemato squamous-disease using ensemble learning framework -- Chapter 8: Security-based explainable artificial intelligence (XAI) in healthcare system -- Chapter 9: Explainable dimensionality reduction model with deep learning for diagnosing hypertensive retinopathy -- Chapter 10: Understanding cancer patients with diagnostically influential factors using high-dimensional data embedding -- Chapter 11: Explainable neural networks in diabetes mellitus prediction -- Chapter 12: A KNN and ANN model for predicting |
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heart diseases -- Chapter 13: Artificial Intelligence-enabled Internet of Medical Things for COVID-19 pandemic data management -- Chapter 14: A deep neural network for the identification of lead molecules in antibiotics discovery -- Chapter 15: Statistical test with differential privacy for medical decision support systems -- Chapter 16: Automated decision support system for diagnosing sleep diseases using machine intelligence techniques -- Chapter 17: XAI methods for precision medicine in medical decision support systems -- Chapter 18: The psychology of explanation in medical decision support systems. |
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Sommario/riassunto |
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This edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues. |
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