Computational and Mathematical Methods in Medicine

Data Preprocessing and Model Design for Medicine Problems


Publishing date
17 Aug 2012
Status
Published
Submission deadline
30 Mar 2012

1Department of Computer Technology and Architecture, University of Granada, Granada, Spain

2Department of Information and Computer Science, Aalto School of Science, Espoo, Finland; IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain; Computational Intelligence Group, Computer Science Faculty, University of The Basque Country, Paseo Manuel Lardizabal 1, Donostia/San Sebastián, Spain

3Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil


Data Preprocessing and Model Design for Medicine Problems

Description

Machine learning disciplines including model design and data preprocessing are crucial in order to obtain a good performance in terms of accurate results and interpretability. However, they are not usually treated simultaneously, and, when a model is evaluated, the origin and preprocessing of the data is ignored. Medicine and biomedical research provide a wide variety of problems where machine learning can be very helpful in decision support, telemedicine, and the discovery of interactions. Among these, it is possible to find variable selection, classification, regression, image processing, and so on.

Therefore, this special issue is focused on methods and applications where machine learning could be applied holistically encompassing all stages to solve the problem. It is also interesting to have comparative analysis of the wide variety of theoretical models when applied to a concrete problem with specific characteristics. Potential topics include, but are not limited to:

  • New problems in medicine mapped with machine learning disciplines
  • Data preprocessing considering
    • Variable selection and risk factor identifications
    • Treatment of unbalanced datasets considering the specificity and sensibility of the diagnosis
    • Prototype/instance selection for removing noise and decreasing the datasets
  • Theoretical models comparison for specific problems
    • Classification of biometrics and disease
    • Accuracy in the regression model
    • Interpretability of the model to help decision support

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/mdm/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 625623
  • - Editorial

Data Preprocessing and Model Design for Medicine Problems

Alberto Guillén | Amaury Lendasse | Guilherme Barreto
  • Special Issue
  • - Volume 2012
  • - Article ID 972037
  • - Research Article

Extraction of Lesion-Partitioned Features and Retrieval of Contrast-Enhanced Liver Images

Mei Yu | Qianjin Feng | ... | Wufan Chen
  • Special Issue
  • - Volume 2012
  • - Article ID 750151
  • - Research Article

Machine Learning Approach to Extract Diagnostic and Prognostic Thresholds: Application in Prognosis of Cardiovascular Mortality

Luis J. Mena | Eber E. Orozco | ... | Gladys E. Maestre
  • Special Issue
  • - Volume 2012
  • - Article ID 528781
  • - Research Article

An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram

Ashwin Belle | Rosalyn Hobson Hargraves | Kayvan Najarian
  • Special Issue
  • - Volume 2012
  • - Article ID 943431
  • - Research Article

Investigating Properties of the Cardiovascular System Using Innovative Analysis Algorithms Based on Ensemble Empirical Mode Decomposition

Jia-Rong Yeh | Tzu-Yu Lin | ... | Jiann-Shing Shieh
  • Special Issue
  • - Volume 2012
  • - Article ID 898430
  • - Research Article

Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries

Pavani Davuluri | Jie Wu | ... | Rosalyn H. Hargraves
  • Special Issue
  • - Volume 2012
  • - Article ID 639124
  • - Research Article

Let Continuous Outcome Variables Remain Continuous

Enayatollah Bakhshi | Brian McArdle | ... | Akbar Biglarian
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
 Submit

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.