Machine Learning and Artificial Intelligence in Healthcare Systems

Machine Learning and Artificial Intelligence in Healthcare Systems

Tools and Techniques

Hakak, Saqib; Rasool, Tabasum; Wasid, Mohammed; Shaikh, Tawseef Ayoub

Taylor & Francis Ltd

11/2024

356

Mole

9781032549217

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Artificial Intelligence Challenges, Principles, and Applications in Smart Healthcare Systems. 2. Systematic View and Impact of Artificial Intelligence in Smart Healthcare Systems, principles, challenges and Applications. 3. Application of Machine Learning Techniques in COVID-19 Epidemiology: A Glimpse. 4. Automated Seven-Level Skin Cancer Staging Diagnosis in Dermoscopic images using Deep Learning. 5. Ensemble Classifier Based Predictive Model for Type-2 Diabetes Mellitus Prediction. 6. Machine Learning Approaches for Analysis in Smart Healthcare Informatics. 7. Smart Approaches for Diagnosis of Brain Disorders using Artificial Intelligence. 8. Bridging the Gap Between Technology and Medicine: Approaches of Artificial Intelligence in Healthcare. 9. Brain Tumor Classification using Transfer Learning. 10. Advanced Bayesian Estimation Of Weibull In Early Stage Eye Loss Prediction In Diabetic Retinopathy. 11. Automated Sleep Staging Using Single-Channel EEG SIgnal based on Machine Learning Approaches. 12. Machine Learning Based Intelligent Assistant for Smart Healthcare. 13. AI-Enabled Sentiment Analysis on COVID-19 Vaccination: A Twitter based study. 14. An Early Diagnosis of Lung Nodule Using CT Images based on Hybrid Machine Learning techniques. 15. Early Detection of Alzheimer's Disease Assisted by AI-Powered Human-Robot Communication.
Monitoring Medical Cyber-Physical Systems;MCPS;Computer-Assisted Diagnosis;CAD;Deep Learning;Open Source Computer Vision Library;Sentiment Analysis;Rosuvastatin Calcium;UCI Repository;Unsupervised Machine Learning;Tamil Nadu;Perform Sentiment Analysis;Smart Healthcare;Hybrid Machine Learning;CNN Model;EEG Signal;Human Robot Communication;Diabetic Retinopathy Patients;Mri Sequence;Brain Mri;NB;NREM Stage;Raw EEG Signal;Neutral Tweets;AASM Manual;DR;Lung CT Scan;Sleep Stage;Lung Nodule;PSO Algorithm