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Results 1 to 25 of 179965

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An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methodsVALENTINI, Giorgio; PACCANARO, Alberto; CANIZA, Horacio et al.Artificial intelligence in medicine (Print). 2014, Vol 61, Num 2, pp 63-78, issn 0933-3657, 16 p.Article

Detecting rare events using extreme value statistics applied to epileptic convulsions in childrenLUCA, Stijn; KARSMAKERS, Peter; CUPPENS, Kris et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 2, pp 89-96, issn 0933-3657, 8 p.Article

Knowledge discovery in clinical decision support systems for pain management: A systematic reviewPOMBO, Nuno; ARAUJO, Pedro; VIANA, Joaquim et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 1, pp 1-11, issn 0933-3657, 11 p.Article

Vicinal support vector classifier using supervised kernel-based clusteringXULEI YANG; AIZE CAO; QING SONG et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 3, pp 189-196, issn 0933-3657, 8 p.Article

Operation room tool handling and miscommunication scenarios: An object-process methodology conceptual modelWACHS, Juan P; FRENKEL, Boaz; DORI, Dov et al.Artificial intelligence in medicine (Print). 2014, Vol 62, Num 3, pp 153-163, issn 0933-3657, 11 p.Article

A preclustering-based ensemble learning technique for acute appendicitis diagnosesLEE, Yen-Hsien; HU, Paul Jen-Hwa; CHENG, Tsang-Hsiang et al.Artificial intelligence in medicine (Print). 2013, Vol 58, Num 2, pp 115-124, issn 0933-3657, 10 p.Article

A quantifier-based fuzzy classification system for breast cancer patientsSORIA, Daniele; GARIBALDI, Jonathan M; GREEN, Andrew R et al.Artificial intelligence in medicine (Print). 2013, Vol 58, Num 3, pp 175-184, issn 0933-3657, 10 p.Article

Subpopulation-specific confidence designation for more informative biomedical classificationCHUANLEI ZHANG; KODELL, Ralph L.Artificial intelligence in medicine (Print). 2013, Vol 58, Num 3, pp 155-163, issn 0933-3657, 9 p.Article

Multilevel Bayesian networks for the analysis of hierarchical health care dataLAPPENSCHAAR, Martijn; HOMMERSOM, Arjen; LUCAS, Peter J. F et al.Artificial intelligence in medicine (Print). 2013, Vol 57, Num 3, pp 171-183, issn 0933-3657, 13 p.Article

Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiersBORCHANI, Hanen; BIELZA, Concha; TORO, Carlos et al.Artificial intelligence in medicine (Print). 2013, Vol 57, Num 3, pp 219-229, issn 0933-3657, 11 p.Article

Evaluation of Clinical Decision Support Systems in Health CareAMMENWERTH, Elske; NYKANEN, Pirkko; RIGBY, Michael et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 1, issn 0933-3657, 54 p.Serial Issue

Impact of four training conditions on physician use of a web-based clinical decision support systemKEALEY, Edith; LECKMAN-WESTIN, Emily; FINNERTY, Molly T et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 1, pp 39-44, issn 0933-3657, 6 p.Article

Automated generation of patient-tailored electronic care pathways by translating computer-interpretable guidelines into hierarchical task networksGONZALEZ-FERRER, Arturo; TEN TEIJE, Annette; FDEZ-OLIVARES, Juan et al.Artificial intelligence in medicine (Print). 2013, Vol 57, Num 2, pp 91-109, issn 0933-3657, 19 p.Conference Paper

Brain Painting: Usability testing according to the user-centered design in end users with severe motor paralysisZICKLER, Claudia; HALDER, Sebastian; KLEIH, Sonja C et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 2, pp 99-110, issn 0933-3657, 12 p.Conference Paper

A computer vision framework for finger-tapping evaluation in Parkinson's diseaseKHAN, Taha; NYHOLM, Dag; WESTIN, Jerker et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 1, pp 27-40, issn 0933-3657, 14 p.Article

Automatic classification of epilepsy types using ontology-based and genetics-based machine learningKASSAHUN, Yohannes; PERRONE, Roberta; DE MOMI, Elena et al.Artificial intelligence in medicine (Print). 2014, Vol 61, Num 2, pp 79-88, issn 0933-3657, 10 p.Article

Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodologyNAGARAJAN, Mahesh B; HUBER, Markus B; SCHLOSSBAUER, Thomas et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 1, pp 65-77, issn 0933-3657, 13 p.Article

Employing heat maps to mine associations in structured routine care dataTODDENROTH, Dennis; GANSLANDT, Thomas; CASTELLANOS, Ixchel et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 2, pp 79-88, issn 0933-3657, 10 p.Article

Multi-agent model of hepatitis C virus infectionWASIK, Szymon; JACKOWIAK, Paulina; FIGLEROWICZ, Marek et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 2, pp 123-131, issn 0933-3657, 9 p.Article

Scalable approximate policies for Markov decision process models of hospital elective admissionsZHU, George; LIZOTTE, Dan; HOEY, Jesse et al.Artificial intelligence in medicine (Print). 2014, Vol 61, Num 1, pp 21-34, issn 0933-3657, 14 p.Article

Sepsis mortality prediction with the Quotient Basis KernelRIBAS RIPOLL, Vicent J; VELLIDO, Alfredo; ROMERO, Enrique et al.Artificial intelligence in medicine (Print). 2014, Vol 61, Num 1, pp 45-52, issn 0933-3657, 8 p.Article

Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samplesNAKANO, Yoshio; TAKESHITA, Toru; KAMIO, Noriaki et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 2, pp 97-101, issn 0933-3657, 5 p.Article

Temporal abstraction and temporal Bayesian networks in clinical domains: A surveyORPHANOU, Kalia; STASSOPOULOU, Athena; KERAVNOU, Elpida et al.Artificial intelligence in medicine (Print). 2014, Vol 60, Num 3, pp 133-149, issn 0933-3657, 17 p.Article

From spoken narratives to domain knowledge: Mining linguistic data for medical image understandingXUAN GUO; QI YU; ALM, Cecilia Ovesdotter et al.Artificial intelligence in medicine (Print). 2014, Vol 62, Num 2, pp 79-90, issn 0933-3657, 12 p.Article

Non-linear temporal scaling of surgical processesFORESTIER, Germain; PETITJEAN, François; RIFFAUD, Laurent et al.Artificial intelligence in medicine (Print). 2014, Vol 62, Num 3, pp 143-152, issn 0933-3657, 10 p.Article

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