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

Twitter mining for fine-grained syndromic surveillanceVELARDI, Paola; STILO, Giovanni; TOZZI, Alberto E et al.Artificial intelligence in medicine (Print). 2014, Vol 61, Num 3, pp 153-163, issn 0933-3657, 11 p.Article

Argumentation-logic for creating and explaining medical hypothesesGRANDO, Maria Adela; MOSS, Laura; SLEEMAN, Derek et al.Artificial intelligence in medicine (Print). 2013, Vol 58, Num 1, pp 1-13, issn 0933-3657, 13 p.Article

Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networksCRUZ-RAMIREZ, Manuel; HERVAS-MARTINEZ, César; FERNANDEZ, Juan Carlos et al.Artificial intelligence in medicine (Print). 2013, Vol 58, Num 1, pp 37-49, issn 0933-3657, 13 p.Article

The readiness of SNOMED problem list concepts for meaningful use of electronic health recordsAGRAWAL, Ankur; ZHE HE; PERL, Yehoshua et al.Artificial intelligence in medicine (Print). 2013, Vol 58, Num 2, pp 73-80, issn 0933-3657, 8 p.Article

Comparative analysis of a-priori and a-posteriori dietary patterns using state-of-the-art classification algorithms: A case/case-control studyKASTORINI, Christina-Maria; PAPADAKIS, George; MILIONIS, Haralampos J et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 3, pp 175-183, issn 0933-3657, 9 p.Article

Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodulesTAN, Maxine; DEKLERCK, Rudi; CORNELIS, Jan et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 3, pp 157-167, issn 0933-3657, 11 p.Article

Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systemsONISKO, Agnieszka; DRUZDZEL, Marek J.Artificial intelligence in medicine (Print). 2013, Vol 57, Num 3, pp 197-206, issn 0933-3657, 10 p.Article

From an expert-driven paper guideline to a user-centred decision support system: A usability comparison studyKILSDONK, Ellen; PEUTE, Linda W; RIEZEBOS, Rinke J et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 1, pp 5-13, issn 0933-3657, 9 p.Article

Physicians' responses to clinical decision support on an intensive care unit—Comparison of four different alerting methodsSCHEEPERS-HOEKS, Anne-Marie J; GROULS, Rene J; NEEF, Cees et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 1, pp 33-38, issn 0933-3657, 6 p.Article

A pilot study of distributed knowledge management and clinical decision support in the cloudDIXON, Brian E; SIMONAITIS, Linas; GOLDBERG, Howard S et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 1, pp 45-53, issn 0933-3657, 9 p.Article

Transferring brain―computer interfaces beyond the laboratory: Successful application control for motor-disabled usersLEEB, Robert; PERDIKIS, Serafeim; TONIN, Luca et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 2, pp 121-132, issn 0933-3657, 12 p.Conference Paper

Assessing and combining repeated prognosis of physicians and temporal models in the intensive careMINNE, Lilian; TOMA, Tudor; DE JONGE, Evert et al.Artificial intelligence in medicine (Print). 2013, Vol 57, Num 2, pp 111-117, issn 0933-3657, 7 p.Conference Paper

Asynchronous gaze-independent event-related potential-based brain―computer interfaceALOISE, Fabio; ARICO, Pietro; SCHETTINI, Francesca et al.Artificial intelligence in medicine (Print). 2013, Vol 59, Num 2, pp 61-69, issn 0933-3657, 9 p.Conference Paper

Elicitation of neurological knowledge with argument-based machine learningGROZNIK, Vida; GUID, Matej; SADIKOV, Aleksander et al.Artificial intelligence in medicine (Print). 2013, Vol 57, Num 2, pp 133-144, issn 0933-3657, 12 p.Conference Paper