Data Science for Effective Healthcare Systems
portes grátis
Data Science for Effective Healthcare Systems
Verma, Dinesh Chander; Bhatt, Ravindara; Singh, Hari; Thakral, Prateek
Taylor & Francis Ltd
07/2022
224
Dura
Inglês
9781032105680
15 a 20 dias
571
Descrição não disponível.
1. Big Data in Healthcare: Applications and Challenges. 2. Impact Analysis of COVID-19 on Different Countries: A Big Data Approach. 3. Overview of Image Processing Technology in Healthcare Systems. 4. Artificial Intelligence Fight Against the Covid-19 Coronavirus in Bharat. 5. Classification Based Prediction Techniques Using ML: A Perspective for Health Care. 6. Deep Learning for Drug Discovery: Challenges and Opportunities. 7. Issues and Challenges Associated with Machine Learning Tools for Health Care System. 8. Real-Time Data Analysis on Covid-19 Vaccination Progress over the World. 9. Descriptive, Predictive, and Prescriptive Analytics in Healthcare. 10. IoT Enabled Worker Health, Safety Monitoring and Visual Data Analytics. 11. Prevalence of Nomophobia and Its Association with Text Neck Syndrome and Insomnia in Young Adults during COVID-19. 12. The Role of AI, Fuzzy Logic System in Computational Biology and Bioinformatics. 13. Analysis for Early Prediction of Diabetes in Healthcare using Classification Techniques. 14. Nomenclature of Machine learning Algorithms and Its Applications. 15. Breast Cancer Prognosis using Machine Learning Approaches. 16. Machine Learning-Based Active Contour Approach for the Recognition of Brain Tumor Progression. 17. A Deep Neural Networks-Based Cost-Effective Framework for Diabetic Retinopathy Detection.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Mining;Machine Learning;Intelligent System;Big Data;Healthcare Informatics;SVM;Ml Algorithm;Random Forest;Supervise Ml;Hadoop Distributed File System;Natural Language Processing;Unsupervised Learning;Dataset;Big Data Analytics;Unsupervised Machine Learning;Brain Tumor Progression;Ml Method;Recurrent Neural Networks;SVM Kernel;Content Based Image Retrieval;Diagnosis Process;Classification Algorithms;RGB;Drug Discovery;Training Dataset;IoT Platform;Ai;Diabetes Prediction
1. Big Data in Healthcare: Applications and Challenges. 2. Impact Analysis of COVID-19 on Different Countries: A Big Data Approach. 3. Overview of Image Processing Technology in Healthcare Systems. 4. Artificial Intelligence Fight Against the Covid-19 Coronavirus in Bharat. 5. Classification Based Prediction Techniques Using ML: A Perspective for Health Care. 6. Deep Learning for Drug Discovery: Challenges and Opportunities. 7. Issues and Challenges Associated with Machine Learning Tools for Health Care System. 8. Real-Time Data Analysis on Covid-19 Vaccination Progress over the World. 9. Descriptive, Predictive, and Prescriptive Analytics in Healthcare. 10. IoT Enabled Worker Health, Safety Monitoring and Visual Data Analytics. 11. Prevalence of Nomophobia and Its Association with Text Neck Syndrome and Insomnia in Young Adults during COVID-19. 12. The Role of AI, Fuzzy Logic System in Computational Biology and Bioinformatics. 13. Analysis for Early Prediction of Diabetes in Healthcare using Classification Techniques. 14. Nomenclature of Machine learning Algorithms and Its Applications. 15. Breast Cancer Prognosis using Machine Learning Approaches. 16. Machine Learning-Based Active Contour Approach for the Recognition of Brain Tumor Progression. 17. A Deep Neural Networks-Based Cost-Effective Framework for Diabetic Retinopathy Detection.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Mining;Machine Learning;Intelligent System;Big Data;Healthcare Informatics;SVM;Ml Algorithm;Random Forest;Supervise Ml;Hadoop Distributed File System;Natural Language Processing;Unsupervised Learning;Dataset;Big Data Analytics;Unsupervised Machine Learning;Brain Tumor Progression;Ml Method;Recurrent Neural Networks;SVM Kernel;Content Based Image Retrieval;Diagnosis Process;Classification Algorithms;RGB;Drug Discovery;Training Dataset;IoT Platform;Ai;Diabetes Prediction
