The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Machine Learning for Healthcare and Medicine
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Machine Learning for Healthcare and Medicine.
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 Machine Learning for Healthcare and Medicine.
Call for Contributions
Prospective 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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Machine Learning for Healthcare and Medicine 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.
Guidelines for Authors
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 Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
19. International Conference on Machine Learning for Healthcare and Medicine has teamed up with the Special Journal Issue on
Machine Learning for Healthcare and Medicine.
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.
Selected Papers
-
A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
-
Using Historical Data for Stock Prediction of a Tech Company
Sofia Stoica
-
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
-
Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection
Taiwo. M. Akinmuyisitan, John Cosmas
-
RV-YOLOX: Object Detection on Inland Waterways Based on Optimized YOLOX through Fusion of Vision and 3+1D Millimeter Wave Radar
Zixian Zhang, Shanliang Yao, Zile Huang, Zhaodong Wu, Xiaohui Zhu, Yong Yue, Jieming Ma
-
Climate Change in Albania and Its Effect on Cereal Yield
L. Basha, E. Gjika
-
Design of a Computer Vision Based Exercise Video Game for Senior Citizens
June Tay, Ivy Chia
-
Emerging Technology for 6G Networks
Yaseein S. Hussein, Victor P. Gil Jiménez, Abdulmajeed Al-Jumaily
-
A Text Classification Approach Based on Natural Language Processing and Machine Learning Techniques
Rim Messaoudi, Nogaye-Gueye Gning, François Azelart
-
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
-
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp
-
Competitive Advantage on the Road Again: Exploring Nuances through a Conceptual Review and Future Research Avenues
Abdolali Mortazavi, Faegheh Taheran
-
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
-
Imputing Missing Data in Electronic Health Records: A Comparison of Linear and Non-Linear Imputation Models
Alireza Vafaei Sadr, Vida Abedi, Jiang Li, Ramin Zand
-
Comparison of Machine Learning Techniques for Single Imputation on Audiograms
Sarah Beaver, Renee Bryce
Conference venue information will be released soon.
Machine learning for healthcare
Machine learning healthcare applications
Diagnosis in medical imaging
Crowdsourced medical data collection
Drug discovery, development and management
Deep learning for medical systems and applications
Big data in health care
Robotic surgery applications
Researchers in machine learning
Statistical natural language processing
Computer vision and related sub-fields
Complex medical data and data analysis
Models for diseases and clinical data
Markov decision processes for clinical decision support
Multiscale data-integration
Modeling with missing or biased data
Learning with non-stationary data
Biomedical signal and image processing
Multimodal information fusion
Mathematical and statistical models
Multivariate statistical analysis
Pattern recognition in biomedical applications
Advanced computer-aided detection/diagnosis
Advanced cellular image analysis
Advanced medical image retrieval
Advanced medical image reconstruction
Advanced molecular/pathologic image analysis
Multimodal neurochemical and/or imaging biomarkers
Gait and motion analysis using complex biomedical signals
Brain computer interfacing
Clinical big data analytics
| Abstracts/Full-Text Paper Submission Deadline |
|
May 30, 2024 |
| Notification of Acceptance/Rejection |
|
June 12, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
November 11, 2025 |
| Conference Dates |
|
December 09-10, 2025 |
