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Artificial Intelligence in Medicine
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Date Reviewed
Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain
Goldstein A., Shahar Y., Orenbuch E., Cohen M. Artificial Intelligence in Medicine 82 20-33, 2017. Type: Article
This paper examines the potential of the Clinitext system [1] for the production of clinical summaries. Clinitext is designed to be general and not specific to any clinical domain; details on Clinitext are provided in [1]. In particula...
Feb 22 2018
A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening
Soares F., Becker K., Anzanello M. Artificial Intelligence in Medicine 82 1-10, 2017. Type: Article
Classification in artificial intelligence aims to separate data into categories using available variables. High dimensionality and inherent variability in medical datasets have been challenges to classification tasks in this field....
Feb 21 2018
Protein fold recognition based on sparse representation based classification
Yan K., Xu Y., Fang X., Zheng C., Liu B. Artificial Intelligence in Medicine 79 1-8, 2017. Type: Article
It is not reasonable to expect the sequence of amino acids to predict folding because many proteins with similar foldings have quite different sequences. To address this issue, this paper describes how sparse representation classificat...
Dec 18 2017
Knowledge graph for TCM health preservation
Yu T., Li J., Yu Q., Tian Y., Shun X., Xu L., Zhu L., Gao H. Artificial Intelligence in Medicine 77 48-52, 2017. Type: Article
This paper introduces a knowledge graph for traditional Chinese medicine (TCM) health preservation....
Oct 12 2017
A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis
Gu D., Liang C., Zhao H. Artificial Intelligence in Medicine 77 31-47, 2017. Type: Article
Case-based methods have previously been used to assist in treating cancers, and this paper introduces a number of significant modifications in the case of breast cancer. Specifically, these modifications relate to the way in which the ...
Aug 3 2017
Brain tumor segmentation from multimodal magnetic resonance images via sparse representation
Li Y., Jia F., Qin J. Artificial Intelligence in Medicine 731-13, 2016. Type: Article
The segmentation of brain tumors in magnetic resonance imaging (MRI) is clearly not only an important image processing task, but one in which the achievement of high accuracy can be life-changing for many. Although MRIs are performed i...
Jul 13 2017
Prediction of anti-cancer drug response by kernelized multi-task learning
Tan M. Artificial Intelligence in Medicine 7370-77, 2016. Type: Article
Predicting the drug response of patients in cancer therapy can be obtained by models built on large datasets of in-vitro tests on cancer cell lines. Such data is complex, as different data types are involved: genes, cell lines, and ant...
Jun 7 2017
Efficient processing of multiple nested event pattern queries over multi-dimensional event streams based on a triaxial hierarchical model
Xiao F., Aritsugi M., Wang Q., Zhang R. Artificial Intelligence in Medicine 72(C): 56-71, 2016. Type: Article
Processing very “strong” event streams (with lots of events) to extract meaningful information in the shortest possible time (lowest latency) is the nontrivial task of complex event processing (CEP) systems. Part of...
Dec 23 2016
A mixed-ensemble model for hospital readmission
Turgeman L., May J. Artificial Intelligence in Medicine 72(C): 72-82, 2016. Type: Article
The authors developed a mixed-ensemble model to predict hospital readmission rates, which allows the tradeoff between reasoning transparency and predictive accuracy to be controlled....
Dec 22 2016
Pattern identification of biomedical images with time series
Yin X., Hadjiloucas S., Zhang Y., Su M., Miao Y., Abbott D. Artificial Intelligence in Medicine 67(C): 1-23, 2016. Type: Article
Various medical imaging modalities exist, with applications to different clinical needs such as oncology, perfusion studies, angiography, musculoskeletal diagnosis, and others. This paper by Yin et al. describes the current state of th...
May 27 2016
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