Published since June 20, 2012

Bio-Algorithms and Med-Systems

ISSN: 1896-530X

Editor-in-chief: Irena Roterman-Konieczna

About this journal

Objective
The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English.

Topics

Bioinformatics
Systems biology
Telemedicine
E-Learning in Medicine
Patient's electronic record
Image processing
Medical databases

Article formats
Research Articles, Editorials, Review Articles and Mini Reviews, Short Communications

Review Articles and Mini Reviews are normally published by invitation, but suggestions to the Editors are welcome. Please find information about the submission process on the Submit-tab

Your Benefits

We are pleased to inform that prof. Irena Roterman-Konieczna, the Editor-in-Chief is listed in the World’s Top 2% Scientists in 2019 by Stanford University. This is a magnificent recognition for prof. Roterman-Konieczna insight and perseverance that have led to discoveries in the field of bioinformatics. Hearty congratulations!

Editor's Choice free access articles selection list

Bio-Algorithms and Med-Systems is proud to announce a new feature, the Editor's Choice free access article. To download the featured article free of charge, please click the link below:

Vol. 17, issue 3, Brain–computer interface for electric wheelchair based on alpha waves of EEG signal, by Kacper Banach, Mateusz Małecki, Maciej Rosół and Anna Broniec

Vol. 17, issue 2, Computational studies of the mitochondrial carrier family SLC25. Present status and future perspectives, by Andrea Pasquadibisceglie and Fabio Polticelli

Vol. 17, issue 2, International Conference Cybernetic Modelling of Biological Systems MCSB 2021

Vol. 17, issue 1, Bio-algorithms for the modeling and simulations of cancer cells and the immune response, by Muhammad Idrees and Ayesha Sohail

Please, see also the list of the most frequently cited articles published in BAMS, according to Web of Science and SCOPUS databases.

Overview

Your benefits:

Scientific and applicable projects linking medical issues and computer science
Broad range of topics (from molecular level of biological problems to the telemedicine)
New algorithms and databases
Extensive interdisciplinary collaboration
High quality peer-review

History

It is a tradition in our Department of Bioinformatics and Telemedicine to organize conferences in the field of Computer Simulation of Biological Systems. These conferences have been organized since 1975 in five years cycle.
The closing panel during the conference organized in 2005 opened the discussion concerning difficulties in publishing papers representing interdisciplinary issues. Particularly, linking the computer science activities in the medical field appeared to be difficult due to expectations of journals. The medical journals expected pure medical problems to be discussed. The computer science journals expected articles on new numerical solutions. Therefore, the papers presenting new computer-based techniques potentially applicable in both, scientific medicine as well as practical medicine, were postponed.
The students group participating in the conference in 2005 expressed the inspired the foundation of a journal which is specially oriented on the interdisciplinary activity linking medicine (and generally life science) with computer-based techniques.
As the result of this discussion the journal Bio-Algorithms and Med-Systems was launched and the first issue was published. The participants of the conference were the authors of the first issue, and the papers were published in Polish. The discussion about the cover and layout begun. The name of journal combines “Bio-Algorithms” to cover the field of molecular, cellular, tissue, organs, whole body simulations, and “Med-Systems” to cover all practical medical fields, including image processing, hospital system development, e-learning in medicine, etc. The second issue was published in English, thus opening the journal to the international community.
Bio-Algorithms and Med-Systems was registered officially; the owner of the title is the Jagiellonian University – Medical College. The first volumes were published bi-annually.
Right from the beginning we also offered a platform to the small business because the linking of scientific solutions with small companies was of high importance at that time.
Two issues of the Journal are of high importance to us. One issue is entirely devoted to grid systems as platform for integrated activities in medicine, and international project with contributors from Italy, Romania, France and China. The second issue focused on E-learning techniques in medicine, a project supported by a European grant and coordinated by British scientists.
We were very happy to be invited by De Gruyter to publish the Journal in cooperation. The collaboration with De Gruyter publisher started in 2012.
In our editorial activity we have been significantly supported by Cyfronet - Academic Computer Center AGH Krakow.
Since 2015 Bio-Algorithms and Med-Systems has been indexed by DBLP (computer science bibliography) data base, which means that citations are counted.

Publication frequency
2005 - 2010 – biannual
Since 2011 - quarterly

Previous Titles

Bio-Algorithms and Med-Systems

Back Issues

https://bit.wl.cm.uj.edu.pl/en/archival-issues/

Abstracting and Indexing

Bio-Algorithms and Med-Systems is covered by the following services:

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Supplementary Materials

Topics

External Links

Volume 17 Issue 3

September 2021

Accessible September 17, 2021

Frontmatter

Page range: i-ii

Download PDF

Research Articles

Accessible September 6, 2021

Brain–computer interface for electric wheelchair based on alpha waves of EEG signal

Kacper Banach, Mateusz Małecki, Maciej Rosół, Anna Broniec

Page range: 165-172

More Download PDF

Abstract

Objectives Helping patients suffering from serious neurological diseases that lead to hindering the independent movement is of high social importance and an interdisciplinary challenge for engineers. Brain–computer interface (BCI) interfaces based on the electroencephalography (EEG) signal are not easy to use as they require time consuming multiple electrodes montage. We aimed to contribute in bringing BCI systems outside the laboratories so that it could be more accessible to patients, by designing a wheelchair fully controlled by an algorithm using alpha waves and only a few electrodes. Methods The set of eight binary words are designed, that allow to move forward, backward, turn right and left, rotate 45° as well as to increase and decrease the speed of the wheelchair. Our project includes: development of a mobile application which is used as a graphical user interface, real-time signal processing of the EEG signal, development of electric wheelchair engines control system and mechanical construction. Results The average sensitivity, without training, was 79.58% and specificity 97.08%, on persons who had no previous contact with BCI. Conclusions The proposed system can be helpful for people suffering from incurable diseases that make them closed in their bodies and for whom communication with the surrounding world is almost impossible.

May 24, 2021

Image retrieval of MRI brain tumour images based on SVM and FCM approaches

Sonia Bansal, Vineet Mehan

Page range: 173-179

Abstract

Objectives The key test in Content-Based Medical Image Retrieval (CBMIR) frameworks for MRI (Magnetic Resonance Imaging) pictures is the semantic hole between the low-level visual data caught by the MRI machine and the elevated level data seen by the human evaluator. Methods The conventional component extraction strategies centre just on low-level or significant level highlights and utilize some handmade highlights to diminish this hole. It is important to plan an element extraction structure to diminish this hole without utilizing handmade highlights by encoding/consolidating low-level and elevated level highlights. The Fleecy gathering is another packing technique, which is applied in plan depiction here and SVM (Support Vector Machine) is applied. Remembering the predefinition of bunching amount and enlistment cross-section is until now a significant theme, a new predefinition advance is extended in this paper, in like manner, and another CBMIR procedure is suggested and endorsed. It is essential to design a part extraction framework to diminish this opening without using painstakingly gathered features by encoding/joining low-level and critical level features. Results SVM and FCM (Fuzzy C Means) are applied to the power structures. Consequently, the incorporate vector contains all the objectives of the image. Recuperation of the image relies upon the detachment among request and database pictures called closeness measure. Conclusions Tests are performed on the 200 Image Database. Finally, exploratory results are evaluated by the audit and precision.

August 19, 2021

Regularization based discriminative feature pattern selection for the classification of Parkinson cases using machine learning

Kamalakannan Kaliyan, Anandharaj Ganesan

Page range: 181-189

Abstract

Objectives This paper focuses on developing a regularization-based feature selection approach to select the most effective attributes from the Parkinson’s speech dataset. Parkinson’s disease is a medical condition that progresses as the dopamine-producing nerve cells are affected. Early diagnosis often reduces the effect on the individuals, minimizes the advancement over time. In recent times, intelligent computational models are used in many complex cases to diagnose a clinical condition with high precision. These models are intended to find meaningful representation from the data to diagnose the disease. Machine learning acts as a tool, gears up the model learning process through a mathematical baseline. But, not in all cases, machine learning will be demanded to perform optimally. It comes with a few constraints, mainly the representation of the data. The learning models expect a clean, noise-free input, which in-turns produces better discriminative patterns over different categories of classes. Methods The proposed model identified five candidate features as predictors. This feature subset is trained with different varieties of supervised classifiers to trace out the best-performing model. Results The results are validated through accuracy, precision, recall, and receiver’s operational characteristic curves. The proposed regularization- based feature selection model outperformed the benchmark algorithms by attaining 100% accuracy on most of the classifiers, other than linear discriminant analysis (99.90%) and naïve Bayes (99.51%). Conclusions This paper exhibits the need for intelligent models to analyze complex data patterns to assist medical practitioners in better disease diagnosis. The results exhibit that the regularization methods find the best features based on their importance score, which improved the model performance over other feature selection methods.

September 6, 2021

Blue-emitting polystyrene scintillators for plastic scintillation dosimetry

Łukasz Kapłon, Gabriel Moskal

Page range: 191-197

Abstract

Objectives Purpose of this research was to find the best blue-emitting fluorescent substance for plastic scintillator used for gamma radiation dosimetry. Scintillator should convert gamma radiation into blue light with high efficiency. Methods Plastic scintillators with fixed concentration of various fluorescent additives, called wavelength shifters, absorbing ultraviolet light and emitting blue light were manufactured by radical bulk polymerization of styrene. Light output were measured and compared to the light output of commercial plastic scintillator. Results Performed measurements of charge Compton spectra confirmed usefulness of majority of researched substances as wavelength shifters in plastic scintillators with emission maximum at blue range of visible light. Conclusions Plastic scintillation dosimeter may be constructed from manufactured polystyrene-based scintillators. Performance of synthesized scintillators is close to commercial polystyrene scintillators.

Ahead of Print / Just Accepted

Ahead of Print / Just Accepted

Volume 17 (2021)

Volume 16 (2020)

Volume 15 (2019)

Volume 14 (2018)

Volume 13 (2017)

Volume 12 (2016)

Volume 11 (2015)

Volume 10 (2014)

Volume 9 (2013)

Volume 8 (2012)

Cite Score	0.7
Index Copernicus Value	120.66
Journal Citation Indicator	0.12
SCImago Journal Rank	0.151
Source Normalized Impact per Paper	0.349

Submit

Submission
You can easily submit your manuscript online. Simply go to http://mc.manuscriptcentral.com/bams and you will be guided through the whole peer-reviewing and publishing process.

Additionally, the Template for Ethical and Legal Declarations needs to be customized by the submitting author on behalf of all others and uploaded as a separate doc-file at the time of the original submission. Instructions on how to make declarations can be found here.

As per De Gruyter policy, no author list changes are permitted after acceptance of an article. The De Gruyter production team is instructed to enforce this policy during the production/proofing process.

Your benefits of publishing with us

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Optional open access publication
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Submission process

Submission of your paper via our submission management tool following the Information for Authors (you will be guided through every step)
As a condition of submission, the Template for Ethical and Legal Declarations must be customized by the submitting author on behalf of all other and uploaded as a separate Word file. Instructions on how to make declarations can be found here.
Single-blind peer review process
A decision on your paper is aspired within 2-4 weeks
Accepted articles are published online ahead of print approx. 3–4 weeks after acceptance

Please note

Manuscripts must be written in clear and concise English
Before submitting your article please have a look at our Ethical Guidelines and our Copyright Transfer Agreement
Once your article is accepted you have the option to publish it open access
Our Repository Policy allows you to distribute 30 PDF copies of your published article to colleagues (the PDF has to include the information that it is an author's copy). Please also feel free to distribute the link to the online abstract
If you have any general questions please visit our FAQ page for authors

We look forward to receiving your manuscript!

Hybrid Open Access

In this journal, authors have the option to publish their article under an open access license. Open Access allows you as an author to retain copyright and share your findings with colleagues and interested parties worldwide without any restraints.
Please note that authors from institutions with which we have a transformative agreement can publish open access without paying an article processing charge (APC). More information on the eligible institutions and articles can be found under the "Funding and Support" tab here.

Editorial

Editor-in-Chief
Prof. Irena Roterman-Konieczna, Jagiellonian University – Medical College, Krakow, Poland

Editorial Board
Prof. Piotr Augustyniak, AGH - University of Science and Technology, Krakow, Poland
Dr. Adam S.Z. Belloum, Instituut voor Informatica – University of Amsterdam, Amsterdam, Netherlands
Dr. Michal Brylinski, Louisiana State University, Baton Rouge, LA, USA
Dr. Marian Bubak, Department of Computer Science and ACC Cyfronet, AGH University of Science and Technology - Krakow, Poland / Informatics Institute, Amsterdam University - Amsterdam, Netherlands
Dr. Jacques Chomilier, Protein Structure Prediction Group, Insititut de Mineralogie et Physique des Milieux Condenses, Universite Pierre et Marie Curie, Paris, France
Prof. Marc Ebner, Ernst Moritz Arndt Universität Greifswald, Institut für Mathematik und Informatik, Greifswald, Germany
Dr. Dragan Gamberger, Rudjer Boskovic Institute Division of Electronics Laboratory for Information Systems, Zagreb, Croatia
Dr. Inga Hege, Medical Education Unit, University of Munich, Munich, Germany
Dr. Sören Huwendiek, University Children's Hospital Heidelberg, Heidelberg, Germany
Dr. Wiktor Jurkowski, Norwich Medical School, University of East Anglia, Norwich, UK
Prof. Kalina Kawecka-Jaszcz, Department of Cardiology and Hypertension, Institute of Cardiology, Jagiellonian Uniwersity, Medical College, Krakow, Poland
Prof. Leszek Konieczny, Jagiellonian University – Medical College, Krakow, Poland
Dr. Valeria Krzhizhanovskaya, Computational Science University of Amsterdam, Amsterdam, Netherlands
Prof. Pawel Moskal, Faculty of Physics, Astronomy and Applied Computer, Science, Jagiellonian University, Krakow, Poland
Dr. Gabriele Pierantoni, Trinity College Dublin, Dublin, Ireland
Prof. Fabio Polticelli, Department of Biology University Roma Tre, Rome, Italy
Dr. Mikhail Posypkin, Federal Research Center Computer Science and Control of the Russian Academy of Sciences, Moscow, Russia
Dr. Thomas Röblitz, University Center for Information Technology, University of Oslo, Norway
Prof. Reinhard Schneider, University of Luxembourg, Luxembourg, Luxemburg
Dr. Jian Shen, Department of Computer Engineering, Chosun University, Gwangju, Republic of Korea
Prof. Stanislaw J. Skrzypek, AGH - University of Science and Technology, Krakow, Poland
Dr. Pawel Spolnik, Jagiellonian University – Medical College, Krakow, Poland
Prof. Katarzyna Stapor, Silesian University of Technology, Gliwice, Poland
Prof. Ewa Stepien, Faculty of Physics, Astronomy and Applied Computer, Science, Jagiellonian University, Krakow, Poland
Prof. Ryszard Tadeusiewicz, AGH - University of Science and Technology, Krakow, Poland
Prof. Andrzej Walczak, Military University of Technology, Warsaw, Poland
Dr. Grzegorz Marcin Wojcik, Faculty of Mathematics, Physics and Computer Science
Institute of Computer Science – Laboratory of Neuroinformatics, Maria Curie-Sklodowska University, Lublin, Poland
Prof. Nabil Zary, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet Stockholm, Stockholm, Sweden

Technical editors
Piotr Walecki, Zdzislaw Wisniowski, Anna Zaremba-Smietanska, Jagiellonian University Medical College, Krakow, Poland

Scientific contact
Department of Bioinformatics and Telemedicine
Sw. Lazarza 16, 31-530 Krakow, Poland
Email: bams@cm-uj.krakow.pl

Publisher contact
Zofia Szafranska-Czajka
De Gruyter
Email: bams.editorial@degruyter.com

(Deutsch)

Online ISSN: 1896-530X
Type: Journal
Language: English
Publisher: De Gruyter
First published: June 20, 2012
Publication Frequency: 4 Issues per Year
Audience: students, researchers and professionals in the field of computer science activity in medicine (and generally life science), medical ICT specialists and managers, innovation departments in enterprises connected with medicine and computer science