Computers in Biology and Medicine
Volume 16 • Issue 16
- ISSN: 0010-4825
- 5 Year impact factor: 6.7
- Impact factor: 7
Computers in Biology and Medicine, a companion title to Informatics in Medicine Unlocked, is a medium of international communication of the revolutionary advances being… Read more
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Request a sales quoteComputers in Biology and Medicine, a companion title to Informatics in Medicine Unlocked, is a medium of international communication of the revolutionary advances being made in the application of the computer to the fields of bioscience and medicine.
The Journal will focus on such areas as:
Analysis of Biomedical Systems: Solutions of Equations
Synthesis of Biomedical Systems: Simulations
Special Medical Data Processing Methods
Special Purpose Computers
Clinical Data Processing for Real Time
Clinical and Experimental Use
Medical Diagnosis and Medical Record Processing
Biomedical Engineering
Medical Informatics
Bioinformatics
Medical Applications of the Internet and World Wide Web
Human Genomics
Proteomics
Functional Brain Studies
Articles which examine the following topics of special interest are being featured in Computers in Biology and Medicine: computer aids to the analysis of biochemical systems, computer aids to biocontrol-systems engineering, neuronal simulation by digital-computer gating components, automatic computer analysis of pictures of biological and medical importance, use of computers by commercial pharmaceutical and chemical organizations, radiation-dosage computers, and accumulating and recalling individual medical records, real-time languages, interfaces to patient monitors, clinical chemistry equipment, data handling and display in nuclear medicine and therapy.
CBM does not consider submissions:
-describing research using fundamental in silico tools, like basic molecular docking not supported by detailed molecular dynamic simulations, post modelling/dynamics analysis, estimation and mathematical modelling and advanced algorithmic treatment with the data sets, or by detailed experimental validations.
-with unclear dataset division into training/validation/test sets and/or imprecise downstream task analysis, specifically for image segmentation papers.
-with minor architecture/model modifications and only slight increase in performance validation parameters (accuracy, Dice, etc) and/or lack of comparison with real state-of-the-art methods.
- ISSN: 0010-4825
- Volume 16
- Issue 16
- 5 Year impact factor: 6.7
- Impact factor: 7