Excellence in Research and Innovation for Humanity

ICBDBH 2020 : 22nd International Conference on Big Data in Biomedicine and Healthcare

Barcelona, Spain
May 26 - 27, 2020

Conference Code: 20ES05ICBDBH

International Research Conference Aims and Objectives

The ICBDBH 2020: 22nd International Conference on Big Data in Biomedicine and Healthcare aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Big Data in Biomedicine and Healthcare. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Big Data in Biomedicine and Healthcare.

Call for Contributions

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Big Data in Biomedicine and Healthcare are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI), Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICBDBH 2020 has teamed up with the Special Journal Issue on Big Data in Biomedicine and Healthcare. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   July 26, 2019
Notification of Acceptance/Rejection   October 30, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 26, 2020
Conference Dates   May 26 - 27, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
2) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
3) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
4) Towards Better Quality in Healthcare and Operations Management: A Developmental Literature Review
Towards Better Quality in Healthcare and Operations Management: A Developmental Literature Review
5) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
6) Optimized Preprocessing for Accurate and Efficient Bioassay Prediction with Machine Learning Algorithms
Jeff Clarine, Chang-Shyh Peng, Daisy Sang
7) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique
C. Manjula, Lilly Florence
8) Procedure Model for Data-Driven Decision Support Regarding the Integration of Renewable Energies into Industrial Energy Management
M. Graus, K. Westhoff, X. Xu
9) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
10) Analytics Model in a Telehealth Center Based on Cloud Computing and Local Storage
L. Ramirez, E. Guillén, J. Sánchez
11) Impact of Flexibility on Patient Satisfaction and Behavioral Intention: A Critical Reassessment and Model Development
Pradeep Kumar, Shibashish Chakraborty, Sasadhar Bera
12) Diagnosis of Diabetes Using Computer Methods: Soft Computing Methods for Diabetes Detection Using Iris
Piyush Samant, Ravinder Agarwal
13) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
14) Ethnic Andean Concepts of Health and Illness in the Post-Colombian World and Its Relevance Today
Elizabeth J. Currie, Fernando Ortega Perez
15) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques
Sannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel

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