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Artificial Intelligence in Medicine, Volume 46
Volume 46, Number 1, May 2009
- Riccardo Bellazzi
, Ameen Abu-Hanna
:
Artificial intelligence in medicine AIME'07. 1-3
- Vimla L. Patel, Edward H. Shortliffe
, Mario Stefanelli, Peter Szolovits
, Michael R. Berthold, Riccardo Bellazzi
, Ameen Abu-Hanna
:
The coming of age of artificial intelligence in medicine. 5-17
- Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije
, Frank van Harmelen
, Radu Serban:
Using model checking for critiquing based on clinical guidelines. 19-36 - Carlo Combi
, Matteo Gozzi, Barbara Oliboni
, José M. Juárez, Roque Marín
:
Temporal similarity measures for querying clinical workflows. 37-54 - Katharina Kaiser, Silvia Miksch
:
Versioning computer-interpretable guidelines: Semi-automatic modeling of 'Living Guidelines' using an information extraction method. 55-66 - Ivan B. Vermeulen, Sander M. Bohté, Sylvia G. Elkhuizen, Han Lameris, Piet J. M. Bakker, Han La Poutré:
Adaptive resource allocation for efficient patient scheduling. 67-80 - Benoit Scherrer
, Michel Dojat
, Florence Forbes, Catherine Garbay:
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans. 81-95
Volume 46, Number 2, June 2009
- Kuo-Chuan Huang, James Geller, Michael Halper, Yehoshua Perl, Junchuan Xu:
Using WordNet synonym substitution to enhance UMLS source integration. 97-109 - David Dinka, James M. Nyce, Toomas Timpka
:
Situated cognition in clinical visualization: The role of transparency in GammaKnife neurosurgery planning. 111-118 - Wade P. Smith, Jason N. Doctor, Jürgen Meyer, Ira J. Kalet, Mark H. Phillips:
A decision aid for intensity-modulated radiation-therapy plan selection in prostate cancer based on a prognostic Bayesian network and a Markov model. 119-130 - Annarita D'Addabbo
, Anna Latiano
, Orazio Palmieri
, Teresa Maria Creanza
, Rosalia Maglietta
, Vito Annese
, Nicola Ancona
:
Association of genetic profiles to Crohn's disease by linear combinations of single nucleotide polymorphisms. 131-138 - Ben Van Calster
, George Condous, Emma Kirk, Tom Bourne
, Dirk Timmerman
, Sabine Van Huffel:
An application of methods for the probabilistic three-class classification of pregnancies of unknown location. 139-154 - Sheng-Yong Yang, Qi Huang, Lin-Li Li, Chang-Ying Ma, Hui Zhang, Ru Bai, Qizhi Teng, Ming-Li Xiang, Yu-Quan Wei:
An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs. 155-163 - Sung-Nien Yu
, Ying-Hsiang Chen:
Noise-tolerant electrocardiogram beat classification based on higher order statistics of subband components. 165-178
Volume 46, Number 3, July 2009
- Juan M. Corchado
, Juan Francisco de Paz
, Sara Rodríguez
, Javier Bajo
:
Model of experts for decision support in the diagnosis of leukemia patients. 179-200 - Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor
, Chandrasekhar Nataraj:
Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms. 201-215 - Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor
, Chandrasekhar Nataraj:
Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence. 217-231 - Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle:
Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks. 233-249 - Stefan Visscher, Peter J. F. Lucas, Carolina A. M. Schurink, Marc J. M. Bonten:
Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. 251-266 - Ralph L. Kodell, Bruce A. Pearce, Songjoon Baek, Hojin Moon, Hongshik Ahn, John F. Young, James J. Chen:
A model-free ensemble method for class prediction with application to biomedical decision making. 267-276
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