Artificial Intelligence in Medicine

Print ISSN
0933-3657
Electronic ISSN
1873-2860
Impact factor
1.568
Publisher
Sciencedirect
URL
http://www.sciencedirect.com/science/journal/09333657
Usage rank
7589
Article count
936
Free count
8
Free percentage
0.00854701
PDFs via platforms
Sciencedirect, Gale, Ingenta, Proquest, Ebscoatoz, Ebsconet, Rcgp, and CSA

  1. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 65(2):IFC (2015)

  2. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 65(1):IFC (2015)

  3. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 63(3):IFC (2015)

  4. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 63(2):CO2 (2015)

  5. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 63(1):IFC (2015)

  6. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 62(3):IFC (2014)

  7. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 62(2):IFC (2014)

  8. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 62(1):IFC (2014)

  9. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 61(3):IFC (2014)

  10. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 61(2):IFC (2014)

  11. Multi-test decision tree and its application to microarray data classification

    Artificial Intelligence in Medicine 61(1):35 (2014) PMID 24630712

    Objective The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the hierarchical process of human de...
  12. Scalable approximate policies for Markov decision process models of hospital elective admissions

    Artificial Intelligence in Medicine 61(1):21 (2014) PMID 24791675

    Objective To demonstrate the feasibility of using stochastic simulation methods for the solution of a large-scale Markov decision process model of on-line patient admissions scheduling.
  13. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 61(1):CO2 (2014)

  14. Unsupervised tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging

    Artificial Intelligence in Medicine 61(1):53 (2014)

    Objective Design, implement, and validate an unsupervised method for tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).
  15. Sepsis mortality prediction with the Quotient Basis Kernel

    Artificial Intelligence in Medicine 61(1):45 (2014) PMID 24726036

    Objective This paper presents an algorithm to assess the risk of death in patients with sepsis. Sepsis is a common clinical syndrome in the intensive care unit (ICU) that can lead to severe sepsis, a severe state of septic shock or multi-organ failure. The proposed algorithm ...
  16. Vicinal support vector classifier using supervised kernel-based clustering

    Artificial Intelligence in Medicine 60(3):189 (2014) PMID 24637294

    Objective Support vector machines (SVMs) have drawn considerable attention due to their high generalisation ability and superior classification performance compared to other pattern recognition algorithms. However, the assumption that the learning data is identically generate...
  17. Using a multi-agent system approach for microaneurysm detection in fundus images

    Artificial Intelligence in Medicine 60(3):179 (2014) PMID 24423809

    Objective Microaneurysms represent the first sign of diabetic retinopathy, and their detection is fundamental for the prevention of vision impairment. Despite several research attempts to develop an automated system to detect microaneurysms in fundus images, none has shown th...
  18. Temporal abstraction and temporal Bayesian networks in clinical domains: A survey

    Artificial Intelligence in Medicine 60(3):133 (2014) PMID 24529699

    Objectives Temporal abstraction (TA) of clinical data aims to abstract and interpret clinical data into meaningful higher-level interval concepts. Abstracted concepts are used for diagnostic, prediction and therapy planning purposes. On the other hand, temporal Bayesian netwo...
  19. Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

    Artificial Intelligence in Medicine 60(3):165 (2014) PMID 24332156

    Objective The present work has the objective of developing an automatic methodology for the detection of lung nodules.
  20. Intensity-based image registration using scatter search

    Artificial Intelligence in Medicine 60(3):151 (2014) PMID 24598549

    Objective We present a novel intensity-based algorithm for medical image registration (IR).