Guide for Authors
Computer Methods and Programs in Biomedicine is available through Elsevier's Electronic Submission System (EM) https://www.editorialmanager.com/cmpb/default.aspx
Computer Methods and Programs in Biomedicine is dedicated to the scientific development, implementation and exchange of formal methods and computer software systems in biomedical research and medical practice. It is designed to serve biomedical researchers; biomedical and clinical / health informaticians; medical researchers and practitioners; biologists; biochemists; biophysicists; geneticists; neuroscientists; cardiologists; psychologists; epidemiologists; immunologists; pharmacologists; biostatisticians; computer scientists, programmers and systems analysts; biomedical, clinical and other engineers; teachers of medical informatics and users of educational software. The aims of the journal are: (1) to encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics; (2) to stimulate basic research into biomedical application software design; (3) to report the state of research of biomedical information processing projects; (4) to report new computer methodologies applied in biomedical areas; (5) to provide a forum for discussion and exchange of existing software, by describing implementations that can be directly used by other interested researchers; (6) to optimise contact between national organisations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine; (7) to announce and report meetings of central interest.
Field of Interest
The application of computer science methodology and software to the full range of theoretical and clinical biomedical specialties, including: Biochemistry; Biophysics; Molecular biology; Genetics; Immunology; Microbiology; Cardiology; Neurophysiology; Radiotherapy; Pharmacology; Clinical psychology; Psychophysiology and social medicine; Biomedical informatics; Biostatistics; Biomedical mathematics and cybernetics; Biomedical, clinical and electrical engineering; Clinical decision support; Hospital information systems; Process control; Medical imaging; Ambulatory monitoring.
Contents
In Focus Papers These include: state of research papers on ongoing projects; future trends; software applications; computer-aided instruction in the laboratory and clinical practice; evolving hardware and software technology and its influence on health application design; developments in the science of biomedical computing, and areas listed under 'Section I. Methodology' below
Section I. Methodology
Papers on methodology in established and maturing areas such as: (1) artificial intelligence; (2) man/machine interaction and interfaces (e.g., CAI, CAL, CAD/CAM, Decision support systems and voice-computer interaction); (3) database management; (4) biomedical modelling and simulation; (5) signal analysis; (6) image processing; (7) biosignal-based electronic prosthesis; (8) computer control of laboratory machines and devices; (9) computer communication networks; (10) computer architecture/software interaction, may be structured as follows:
1. Introduction. A discussion of the research or clinical issues underlying a project's design, the need for the methodology / system, and any pilot studies done to demonstrate the demand for, or feasibility of, such a methodology / system.
2 Background. This should be divided into two subtopics: a discussion of prior work by the authors that led to the current design decisions; and an analysis of related work in the literature. An acknowledgment, analysis and integration of lessons from related work by others is crucial.
3. Design considerations. A discussion of the principle design, performance and implementation goals, against which the success of the methodology / system should be assessed.
4. Description of method / system. A description of the theoretical basis of the computational method. A technical exposition of the overall architecture, the pertinent data structures, control mechanisms, etc. and a brief description of the hardware used, is required.
5. Status report. A description of the current status of the implementation, informal indicators of the strengths and weaknesses of the methodology / system, and examples of its current level of performance are required.
6. Lessons learned. An analysis of the key insights gained from the work to date, focusing on the statement of general principles that can contribute to the knowledge in the field. The statement of such lessons must be well supported by examples. The emphasis should be on the statement of principles in such a form that they will be of use to other investigators in the field.
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