{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":20,"n_cols":5,"rows_kept":20,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[5,2,5,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[12,2,12,3],[14,2,14,3],[15,2,15,3],[17,2,17,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9911004751603321"]
[null,null,"Autore",null,"Imoize Agbotiname Lucky"]
[null,null,"Titolo",null,"Explainable Artificial Intelligence in Medical Decision Support Systems"]
[null,null,"Pubbl/distr/stampa",null,"Jefferson : , : Institution of Engineering & Technology, , 2023"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"1-83724-479-0"]
[{"$nulls":4},"1-5231-5351-2"]
[{"$nulls":4},"1-83953-621-7"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (490 pages)"]
[null,null,"Collana",null,"Healthcare Technologies"]
[null,null,"Disciplina",null,"610.285"]
[null,null,"Soggetti",null,"Medical informatics"]
[{"$nulls":4},"Artificial intelligence - Medical applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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 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: "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]