The Scientific World Journal

Machine Learning for Medical Applications


Publishing date
24 Oct 2014
Status
Published
Submission deadline
06 Jun 2014

1School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK

2School of Technology, Michigan Technological University, Houghton, MI, USA

3School of Computing and Mathematics, University of Ulster, Londonderry, UK


Machine Learning for Medical Applications

Description

Machine learning (ML) has been well recognised as an effective tool for researchers to handle the problems in signal and image processing. Machine learning is capable of offering automatic learning techniques to excerpt common patterns from empirical data and then make sophisticated decisions, based on the learned behaviours. Medicine has a large dimensionality of data and the medical application problems frequently make the human-generated, rule-based heuristics intractable. In this special issue, we provide a forum to present the cutting-edge machine learning methods for medical applications. Applications for medical application may include the learning of similarities across different image modalities, organ localization, learning of anatomical changes, tissue classification, and computer-aided diagnosis.

We invite authors to submit original research and review articles that seek to improve the quality of healthcare and medical diagnosis and treatment. Potential topics include, but are not limited to:

  • Artificial intelligence in medicine
  • Cardiovascular mechanics
  • Clinical interpretation and analysis
  • Decision support systems
  • Brain-computer interface
  • Biomedical and genomic signal processing
  • Hospital information system
  • Quantum computing and its applications in medicine
  • Medical image analysis and understanding
  • System biology in transitional medicine

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/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/tswj/signal.processing/mlma/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 825267
  • - Editorial

Machine Learning for Medical Applications

Huiyu Zhou | Jinshan Tang | Huiru Zheng
  • Special Issue
  • - Volume 2015
  • - Article ID 931387
  • - Research Article

A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals

Dhiya Al-Jumeily | Shamaila Iram | ... | Abir Hussain
  • Special Issue
  • - Volume 2014
  • - Article ID 627892
  • - Research Article

EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation

Suwicha Jirayucharoensak | Setha Pan-Ngum | Pasin Israsena
  • Special Issue
  • - Volume 2014
  • - Article ID 349718
  • - Research Article

Induced Effects of Transcranial Magnetic Stimulation on the Autonomic Nervous System and the Cardiac Rhythm

Mercedes Cabrerizo | Anastasio Cabrera | ... | Malek Adjouadi
  • Special Issue
  • - Volume 2014
  • - Article ID 928395
  • - Research Article

Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier

Kun Zhang | Minrui Fei | ... | Huiyu Zhou
  • Special Issue
  • - Volume 2014
  • - Article ID 140863
  • - Research Article

Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls

Zhixian Yang | Yinghua Wang | Gaoxiang Ouyang
The Scientific World Journal
 Journal metrics
Acceptance rate17%
Submission to final decision82 days
Acceptance to publication37 days
CiteScore1.430
Impact Factor-
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