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Business Data Analytics

First International Conference, ICBDA 2022, Dehradun, India, October 7–8, 2022, Proceedings

Rajesh Singh,Valentina Emilia Balas,Arpan Kumar Kar,Anita Gehlot,Shahab Shamshirband

Springer Nature Proceedings Computer Science

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À propos de ce livre

Langue :English
ISBN :9783031236471
Date de parution :27 déc. 2022
Éditeur :Springer Nature Switzerland

Marque éditoriale :Springer
Format de fichier :EPUB3
Taille de fichier :17.12 MB
Options de téléchargement :EPUB3 (Adobe DRM)

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Vos paramètres de confidentialité

Business Data Analytics

Résumé

À propos de ce livre

Détails du livre

Comment lire

Dans cette série

Business Data Analytics

Lectures semblables

How to Practice Academic Medicine and Publish from Developing Countries?

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Deep Learning for Medical Applications with Unique Data

Artificial Intelligence and Machine Learning for Healthcare

Data Science for COVID-19 Volume 1

Proceedings of the International Health Informatics Conference

Artificial Intelligence in Medical Virology

Deep Learning in Personalized Healthcare and Decision Support

Big Data Analytics for Healthcare

Smart Computational Intelligence in Biomedical and Health Informatics

Artificial Intelligence for Information Management: A Healthcare Perspective

Computational Intelligence Aided Systems for Healthcare Domain

Machine Learning in Information and Communication Technology

Advanced Prognostic Predictive Modelling in Healthcare Data Analytics

Service Quality in Indian Hospitals

Exploratory Data Analytics for Healthcare

Emerging Technologies in Data Mining and Information Security

Data Science for Effective Healthcare Systems

Intelligent Healthcare

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Machine Learning for Healthcare

Proceedings of Data Analytics and Management

Ambient Intelligence in Health Care

Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases

Artificial Intelligence in Healthcare and COVID-19

Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems

Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis

Machine Learning and Deep Learning Techniques for Medical Science

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

Applications of Artificial Intelligence in COVID-19

Bioinformatics and Medical Applications

Artificial Intelligence

Enhanced Telemedicine and e-Health

Trends of Artificial Intelligence and Big Data for E-Health

Applications of Big Data in Healthcare

Explainable Machine Learning for Multimedia Based Healthcare Applications

Telemedicine: The Computer Transformation of Healthcare

Applied Computing in Medicine and Health

Computational Intelligence for Clinical Diagnosis

Cyber-Physical Systems

Machine Learning Technologies and Applications

The Role of the Internet of Things (IoT) in Biomedical Engineering

Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape Volume: 1

Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing

Computational Intelligence and Smart Communication

Intelligent Data Analysis for COVID-19 Pandemic

Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI)

Advanced Computing

Applied Smart Health Care Informatics

Handbook of Deep Learning in Biomedical Engineering

Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem

Explainable AI in Healthcare

System Design for Epidemics Using Machine Learning and Deep Learning

Connected e-Health

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

Predictive Modeling in Biomedical Data Mining and Analysis

Smart Healthcare Analytics: State of the Art

Interpretable Cognitive Internet of Things for Healthcare

Healthcare and Knowledge Management for Society 5.0

Computational Intelligence in Healthcare

Advanced Informatics for Computing Research

Machine Learning and Analytics in Healthcare Systems

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques

Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging

Tele-Healthcare

Machine Learning, Big Data, and IoT for Medical Informatics

Healthcare Informatics for Fighting COVID-19 and Future Epidemics

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

Artificial Intelligence in Healthcare

Intelligent Healthcare