BioMed Research International

Conference Issue: Big Data for Biomedical Research


Publishing date
01 Sep 2022
Status
Closed
Submission deadline
29 Apr 2022

Lead Editor
Guest Editors

1York University, Toronto, Canada

2Drexel University, Philadelphia, USA

3Shanghai Taikuntang Hospital of Traditional Chinese Medicine, Shanghai, China

This issue is now closed for submissions.
More articles will be published in the near future.

Conference Issue: Big Data for Biomedical Research

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Biomedical research in the 21st century is undergoing a change from conventional laboratory methods to new digital methods facilitated by the application of high-performance computing and big data analytic methods.

The challenges of big data in biomedical research include big data capturing, analysis, information retrieval, transfer and visualisation, and information privacy protection. The research domains have covered not only the original big data key concepts, i.e. volume, variety, and velocity, but also the relevant technology methods such as healthcare decision making, machine learning, natural language processing, medical knowledge representation, and high throughput data analysis.

This Special Issue aims to provide an international forum for research on the academic frontiers in computational methods for biomedical and healthcare big data. The scope includes the original studies and review articles on biomedical and healthcare big data management, big data search and mining, big data learning and analysis, and ethics and privacy protection.

This Conference Issue is being run in partnership with with IEEE International Conference on Bioinformatics and Biomedicine (BIBM), a premier research conference in bioinformatics and biomedicine, held online from December 9-12 (https://www.ieeebibm.org/BIBM2021/). IEEE BIBM 2021 provides a leading forum for disseminating the latest research in bioinformatics and health informatics. Whilst submissions are invited from all researchers, we particularly welcome full-length articles both from attendees and those that have submitted abstracts and posters for consideration at this conference.

Potential topics include but are not limited to the following:

  • Biomedical and health big data management and analytics
  • Health big data acquisition, integration, cleaning, and visualization analytics
  • Computational modelling, data integration, and large-scale recommenders for medicine
  • Mobile Sensor Data to medical knowledge and internet of things (IoT)
  • Biomedical and health big data search and mining
  • Medical knowledge web search and mining
  • Algorithms and systems for biomedical / health big data search
  • Semantic-based medical data mining and data pre-processing
  • Predictive analytics on biomedical / health big data
  • Machine learning and deep learning for biomedical / health big data
  • Feature representation learning for biomedical / health big data
  • Ethics and privacy in big data of health
  • Privacy-preserving for health big data collection/analytics
  • Trust management in IoT and other big data systems for biomedicine and healthcare
  • High-performance cryptography and de-identification algorithms

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 2602276
  • - Research Article

Selection of the Male or Female Sex in Chronic Unpredictable Mild Stress-Induced Animal Models of Depression

Shuo Jiang | Ling Lin | ... | Youming Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 2350404
  • - Review Article

Efficacy of Duhuo Jisheng Decoction for Treating Cold-Dampness Obstruction Syndrome-Type Knee Osteoarthritis: A Pooled Analysis

Jinlong Zhao | Guihong Liang | ... | Jun Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 9414262
  • - Research Article

Biomedical Analytics of Four Chinese Medicinals in Treatment of Insomnia Based on Network Pharmacology

Qiyue Deng | Libing Huang | ... | Shiheng Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 3524090
  • - Research Article

Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts

Qunsheng Zou | Kuo Yang | ... | Xuezhong Zhou
  • Special Issue
  • - Volume 2022
  • - Article ID 2146236
  • - Research Article

Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes

Yuxin Sun | Zhenying Zhao | ... | Ziqing Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 4452158
  • - Research Article

A Joint Model for Unbalanced Nested Repeated Measures with Informative Drop-Out Applied to Ambulatory Blood Pressure Monitoring Data

Enas M. Ghulam | Jane C. Khoury | ... | Rhonda D. Szczesniak
  • Special Issue
  • - Volume 2022
  • - Article ID 4845726
  • - Research Article

TCMPR: TCM Prescription Recommendation Based on Subnetwork Term Mapping and Deep Learning

Xin Dong | Yi Zheng | ... | Xuezhong Zhou
  • Special Issue
  • - Volume 2022
  • - Article ID 7139904
  • - Research Article

Question Answering System Based on Knowledge Graph in Traditional Chinese Medicine Diagnosis and Treatment of Viral Hepatitis B

Yating Yin | Lei Zhang | ... | Guo-zheng Li
  • Special Issue
  • - Volume 2022
  • - Article ID 2503779
  • - Research Article

The Construction Model of the TCM Clinical Knowledge Coding Database Based on Knowledge Organization

Pan Zhang | Shaowu Shen | ... | Yan Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 9485056
  • - Review Article

Comparison of Efficacy between Acupuncture Therapies in Improving Sacroiliac Joint Malposition: A Systematic Review and Meta-Analysis

Liguo Liu | Litao Pan | ... | Yu Kui
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.