Applied Machine Learning and Multi-Criteria Decision-making in Healthcare

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Ozsahin, Ilker (Editor ), Ozsahin, Dilber Uzun (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: UAE : Bentham Science Publishers, 2021.
Temas:
Artificial intelligence > Medical applications.
Medical informatics.
Intelligence artificielle en médecine.
Médecine > Informatique.
Artificial intelligence > Medical applications
Medical informatics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title
  • Copyright
  • End User License Agreement
  • Contents
  • Preface
  • List of Contributors
  • Introduction
  • Basil Bartholomew Duwa1,*, Dilber Uzun Ozsahin1,2,3 and Ilker Ozsahin1,2,4
  • CONCLUSION
  • CONSENT FOR PUBLICATION
  • CONFLICT OF INTEREST
  • ACKNOWLEDGEMENTS
  • Machine Learning in Health Care
  • Basil Bartholomew Duwa1,*, Dilber Uzun Ozsahin1,2,3 and Ilker Ozsahin1,2,4
  • MACHINE LEARNING IN HEALTH CARE
  • APPLICATION OF MACHINE LEARNING IN HEALTHCARE
  • Application of ML in Smart Health
  • Machine Learning In Remote Patient Monitoring
  • Telemedicine
  • Machine Learning Used in Curative Research
  • Drug Development
  • Ml Application In Repurposing Existing Drugs
  • Machine Learning in Iot/iomt Used in Managing and Preventing Diseases
  • Machine Learning in Disease Surveillance
  • Using Smart Thermometers
  • Using Drone Technology
  • Ml Application in Medical Imaging
  • Machine Learning Training for Clinical Applications
  • Ml Application in Disease Outbreak Prediction
  • MACHINE LEARNING ON THE DESIGN OF ROBOTS IN HEALTHCARE SERVICES
  • CONCLUSION
  • CONSENT FOR PUBLICATION
  • CONFLICT OF INTEREST
  • ACKNOWLEDGEMENTS
  • REFERENCES
  • Prediction Problems in Healthcare Applications
  • Boran Sekeroglu1,*
  • INTRODUCTION
  • CLASSIFICATION VS. REGRESSION VS. PREDICTION
  • EVALUATION METRICS IN MACHINE LEARNING
  • Model Evaluation Metrics in Prediction of Classes (Pr_C)
  • Model Evaluation Metrics in Regression Analysis (Pr_R)
  • MACHINE LEARNING ALGORITHMS
  • PREDICTION APPLICATIONS IN HEALTHCARE
  • Literature Search for Prediction Applications of Machine Learning in Healthcare
  • Overview of Prediction Applications of Cancer Researches
  • Overview of Prediction Applications of Neurology
  • Overview of Prediction Applications of Cardiology
  • Overview of Prediction Applications on Sepsis
  • Overview of Prediction Applications on Diabetes Researches
  • Overview of Prediction Applications on Mental Diseases
  • Prediction Applications on Other Disease Types
  • CONCLUDING REMARKS
  • CONSENT FOR PUBLICATION
  • CONFLICT OF INTEREST
  • ACKNOWLEDGEMENTS
  • REFERENCES
  • Classification Problems in Healthcare Applications
  • Kamil Dimililer1,2,*
  • INTRODUCTION
  • MEDICAL IMAGING
  • Ultrasound Images (US)
  • X-Ray Images (X-Ray)
  • Computed Tomography Scans (CT)
  • Magnetic Resonance Imaging (MRI)
  • Positron Emission Tomography (PET) Scans
  • Retinal Photography
  • Histology Slides
  • Dermoscopy Images
  • MACHINE LEARNING METHODS
  • Machine Learning Methods in Prediction
  • Back Propagation Learning Method (BP)
  • Decision Tree Regressor (DTR)
  • Radial Basis Function Neural Network (RBFNN)
  • Logistic Regression (LR)
  • Support Vector Regression (SVR)
  • Long Short-Term Memory (LSTM)
  • Machine Learning Methods in Classification
  • Back Propagation Learning Method (BP)
  • Decision Tree Regressor (DTR)
  • Radial Basis Function Neural Network (RBFNN)

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