{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T03:01:13Z","timestamp":1792897273458,"version":"4.5.0"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2015,9,29]],"date-time":"2015-09-29T00:00:00Z","timestamp":1443484800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1007\/s10916-015-0353-9","type":"journal-article","created":{"date-parts":[[2015,9,29]],"date-time":"2015-09-29T08:12:31Z","timestamp":1443514351000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":148,"title":["Computer-Aided Diagnosis of Parkinson\u2019s Disease Using Enhanced Probabilistic Neural Network"],"prefix":"10.1007","volume":"39","author":[{"given":"Thomas J.","family":"Hirschauer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hojjat","family":"Adeli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John A.","family":"Buford","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,9,29]]},"reference":[{"key":"353_CR1","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.yebeh.2014.10.001","volume":"41","author":"UR Acharya","year":"2014","unstructured":"Acharya, U. R., Vidya, S., Bhat, S., Adeli, H., and Adeli, A., Computer-aided diagnosis of alcoholism-related EEG signals. Epilepsy Behav. 41:257\u2013263, 2014.","journal-title":"Epilepsy Behav."},{"issue":"3","key":"353_CR2","doi-asserted-by":"crossref","first-page":"187","DOI":"10.3233\/JAD-2005-7301","volume":"7","author":"H Adeli","year":"2005","unstructured":"Adeli, H., Ghosh-Dastidar, S., and Dadmehr, N., Alzheimer\u2019s disease and models of computation: Imaging, classification, and neural models. J. Alzheimers Dis. 7(3):187\u2013199, 2005.","journal-title":"J. Alzheimers Dis."},{"issue":"3","key":"353_CR3","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1177\/155005940503600303","volume":"36","author":"H Adeli","year":"2005","unstructured":"Adeli, H., Ghosh-Dastidar, S., and Dadmehr, N., Alzheimer\u2019s disease: Models of computation and analysis of EEGs. Clin. EEG Neurosci. 36(3):131\u2013140, 2005.","journal-title":"Clin. EEG Neurosci."},{"issue":"2","key":"353_CR4","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1109\/TBME.2006.886855","volume":"54","author":"H Adeli","year":"2007","unstructured":"Adeli, H., Ghosh-Dastidar, S., and Dadmehr, N., A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy. IEEE Trans. Biomed. Eng. 54(2):205\u2013211, 2007.","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"2","key":"353_CR5","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.neulet.2008.08.008","volume":"444","author":"H Adeli","year":"2008","unstructured":"Adeli, H., Ghosh-Dastidar, S., and Dadmehr, N., A Spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer\u2019s disease. Neurosci. Lett. 444(2):190\u2013194, 2008.","journal-title":"Neurosci. Lett."},{"key":"353_CR6","volume-title":"Machine learning - neural networks, genetic algorithms, and fuzzy sets","author":"H Adeli","year":"1995","unstructured":"Adeli, H., and Hung, S. L., Machine learning - neural networks, genetic algorithms, and fuzzy sets. Wiley, New York, 1995."},{"issue":"2","key":"353_CR7","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1136\/practneurol-2011-000132","volume":"12","author":"MB Aerts","year":"2012","unstructured":"Aerts, M. B., Esselink, R. A., Post, B., van de Warrensburg, P. B., and Bloem, B. R., Improving the diagnostic accuracy in parkinsonism: A three-pronged approach. Pract. Neurol. 12(2):77\u201387, 2012.","journal-title":"Pract. Neurol."},{"issue":"1","key":"353_CR8","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1097\/WAD.0b013e3181ed1160","volume":"25","author":"A Ahmadlou","year":"2011","unstructured":"Ahmadlou, A., Adeli, H., and Adeli, A., Fractality and a wavelet-Chao methodology for EEG-based diagnosis of Alzheimer\u2019s disease. Alzheimer Dis. Assoc. Disord. 25(1):85\u201392, 2011.","journal-title":"Alzheimer Dis. Assoc. Disord."},{"key":"353_CR9","doi-asserted-by":"crossref","first-page":"197","DOI":"10.3233\/ICA-2010-0345","volume":"17","author":"M Ahmadlou","year":"2010","unstructured":"Ahmadlou, M., and Adeli, H., Enhanced probabilistic neural networks with local decision circles: A robust classifier. Integr. Comput. Aided. Eng. 17:197\u2013210, 2010.","journal-title":"Integr. Comput. Aided. Eng."},{"issue":"1","key":"353_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/155005941004100103","volume":"41","author":"M Ahmadlou","year":"2010","unstructured":"Ahmadlou, M., and Adeli, H., Wavelet-synchronization methodology: A new approach for EEG-based diagnosis of ADHD. Clin. EEG Neurosci. 41(1):1\u201310, 2010.","journal-title":"Clin. EEG Neurosci."},{"issue":"5","key":"353_CR11","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1097\/WNP.0b013e3181f40dc8","volume":"7","author":"M Ahmadlou","year":"2010","unstructured":"Ahmadlou, M., Adeli, H., and Adeli, A., Fractality and a wavelet-chaos-neural network methodology for EEG-based diagnosis of autistic spectrum disorder. J. Clin. Neurophysiol. 7(5):328\u2013333, 2010.","journal-title":"J. Clin. Neurophysiol."},{"issue":"2","key":"353_CR12","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.ijpsycho.2012.05.001","volume":"85","author":"M Ahmadlou","year":"2012","unstructured":"Ahmadlou, M., Adeli, H., and Adeli, A., Fractality analysis of frontal brain in major depressive disorder. Int. J. Psychophysiol. 85(2):206\u2013211, 2012.","journal-title":"Int. J. Psychophysiol."},{"issue":"1","key":"353_CR13","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1177\/1550059411428555","volume":"43","author":"M Ahmadlou","year":"2012","unstructured":"Ahmadlou, M., Adeli, H., and Adeli, A., Graph theoretical analysis of organization of functional brain networks in ADHD. Clin. EEG Neurosci. 43(1):5\u201313, 2012.","journal-title":"Clin. EEG Neurosci."},{"key":"353_CR14","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1177\/1550059413480504","volume":"44","author":"M Ahmadlou","year":"2013","unstructured":"Ahmadlou, M., Adeli, H., and Adeli, A., Spatio-Temporal Analysis of Relative Convergence (STARC) of EEGs reveals differences between brain dynamics of depressive women and men. Clin. EEG Neurosci. 44:175\u2013181, 2013.","journal-title":"Clin. EEG Neurosci."},{"issue":"4","key":"353_CR15","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1016\/j.clinph.2013.08.033","volume":"125","author":"M Ahmadlou","year":"2013","unstructured":"Ahmadlou, M., Adeli, A., Bajo, R., and Adeli, H., Complexity of functional connectivity networks in mild cognitive impairment patients during a working memory task. Clin. Neurophysiol. 125(4):694\u2013702, 2013.","journal-title":"Clin. Neurophysiol."},{"issue":"6","key":"353_CR16","doi-asserted-by":"crossref","first-page":"1350029","DOI":"10.1142\/S0129065713500299","volume":"23","author":"A Alexandridis","year":"2013","unstructured":"Alexandridis, A., Evolving RBF neural networks for adaptive soft-sensor design. Int. J. Neural Syst. 23(6):1350029, 2013 (14 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"2","key":"353_CR17","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.eswa.2013.07.073","volume":"41","author":"GS Babu","year":"2014","unstructured":"Babu, G. S., Suresh, S., and Mahanand, B. S., A novel PBL-McRBFN-RFE approach for identification of critical brain regions responsible for Parkinson\u2019s disease. Expert Syst. Appl. 41(2):478\u2013488, 2014.","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"353_CR18","doi-asserted-by":"crossref","first-page":"1430002","DOI":"10.1142\/S0129065714300022","volume":"24","author":"RAB Badawy","year":"2014","unstructured":"Badawy, R. A. B., Vogrin, S. J., Lai, A., and Cook, M. J., On the midway to epilepsy; Are cortical excitability measures in patients with isolated seizures normal? Int. J. Neural Syst. 24(2):1430002, 2014 (7 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"2","key":"353_CR19","doi-asserted-by":"crossref","first-page":"1430001","DOI":"10.1142\/S0129065714300010","volume":"24","author":"PR Bauer","year":"2014","unstructured":"Bauer, P. R., Kalitzin, S., Zijlmans, M., Sander, J. W., and Visser, G., Cortical excitability as a clinical marker in epilepsy: A review of the clinical application of Transcranial Magnetic Stimulation. Int. J. Neural Syst. 24(2):1430001, 2014 (21 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"3","key":"353_CR20","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1111\/mice.12039","volume":"29","author":"JB Butcher","year":"2014","unstructured":"Butcher, J. B., Day, C. R., Austin, J. C., Haycock, P. W., Verstraeten, D., and Schrauwen, B., Defect detection in reinforced concrete using random neural architectures. Comput. Aided Civ. Infrastruct. Eng. 29(3):191\u201320, 2014.","journal-title":"Comput. Aided Civ. Infrastruct. Eng."},{"key":"353_CR21","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1142\/S012906571550029X","volume":"25","author":"E Castillo","year":"2015","unstructured":"Castillo, E., Peteiro-Barral, D., Guijarro Berdinas, B., and Fontenla-Romero, O., Distributed one-class support vector machine. Int. J. Neural Syst. 25:7, 2015 (17 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"1","key":"353_CR22","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1093\/bmb\/ldn013","volume":"86","author":"CA Davie","year":"2008","unstructured":"Davie, C. A., A review of Parkinson\u2019s disease. Br. Med. Bull. 86(1):109\u2013127, 2008.","journal-title":"Br. Med. Bull."},{"issue":"5804","key":"353_CR23","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1136\/bmj.2.5804.9","volume":"2","author":"FT Dombal De","year":"1972","unstructured":"De Dombal, F. T., Leaper, D. J., Staniland, J. R., McCann, A. P., and Horrocks, J. C., Computer-aided diagnosis of acute abdominal pain. Br. Med. J. 2(5804):9\u201313, 1972.","journal-title":"Br. Med. J."},{"issue":"6","key":"353_CR24","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1016\/S1474-4422(06)70471-9","volume":"5","author":"LM Lau De","year":"2006","unstructured":"De Lau, L. M., and Breteler, M. M., Epidemiology of Parkinson\u2019s disease. Lancet Neurol. 5(6):525\u2013535, 2006.","journal-title":"Lancet Neurol."},{"issue":"11","key":"353_CR25","doi-asserted-by":"crossref","first-page":"2204","DOI":"10.1007\/s00415-014-7477-6","volume":"261","author":"A Rosa De","year":"2014","unstructured":"De Rosa, A., Carducci, C., Carducci, C., Peluso, S., Lieto, M., Mazzella, A., Sacc\u00e0, F., Brescia Morra, V., Pappat\u00e0, S., Leuzzi, V., and De Michele, G., Screening for dopa-responsive dystonia in patients with Scans Without Evidence of Dopaminergic Deficiency (SWEDD). J. Neurol. 261(11):2204\u20132208, 2014.","journal-title":"J. Neurol."},{"key":"353_CR26","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1288\/00005537-198402000-00004","volume":"94","author":"RL Doty","year":"1984","unstructured":"Doty, R. L., Shaman, P., Kimmelman, C. P., and Dann, M. S., University of Pennsylvania smell identification test: A rapid quantitative olfactory function test for the clinic. Laryngoscope 94:176\u2013178, 1984.","journal-title":"Laryngoscope"},{"issue":"15","key":"353_CR27","doi-asserted-by":"crossref","first-page":"2129","DOI":"10.1002\/mds.22340","volume":"23","author":"CG Goetz","year":"2008","unstructured":"Goetz, C. G., Tilley, B. C., Shaftman, S. R., Stebbins, G. T., Fahn, S., Martinez-Martin, P., Poewe, W., LaPelle, N., and Movement Disorder Society UPDRS Revision Task Force, Movement Disorder Society-sponsored revision of the Unified Parkinson\u2019s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov. Disord. 23(15):2129\u20132170, 2008.","journal-title":"Mov. Disord."},{"issue":"10","key":"353_CR28","doi-asserted-by":"crossref","first-page":"5971","DOI":"10.1118\/1.4742055","volume":"39","author":"IA Illan","year":"2012","unstructured":"Illan, I. A., Gorrz, J. M., Ramirez, J., Segovia, F., Jimenez-Hoyuela, J. M., and Ortega Lozano, S. J., Automatic assistance to Parkinson\u2019s disease diagnosis in DaTSCAN SPECT imaging. Med. Phys. 39(10):5971\u20135980, 2012.","journal-title":"Med. Phys."},{"issue":"4","key":"353_CR29","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1136\/jnnp.2007.131045","volume":"79","author":"J Jankovic","year":"2008","unstructured":"Jankovic, J., Parkinson\u2019s disease: Clinical features and diagnosis. J. Neurol. Neurosurg. Psychiatry 79(4):368\u2013376, 2008.","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"issue":"3","key":"353_CR30","doi-asserted-by":"crossref","first-page":"295","DOI":"10.3233\/ICA-140464","volume":"21","author":"M Kwon","year":"2014","unstructured":"Kwon, M., Kavuri, S., and Lee, M., Action-perception cycle learning for incremental emotion recognition in a movie clip using 3D fuzzy GIST based on visual and EEG signals. Integr. Comput. Aided Eng. 21(3):295\u2013310, 2014.","journal-title":"Integr. Comput. Aided Eng."},{"issue":"3","key":"353_CR31","first-page":"421","volume":"4","author":"MJ Lee","year":"2014","unstructured":"Lee, M. J., Kim, S. L., Lyoo, C. H., and Lee, M. S., Kinematic analysis in patients with Parkinson\u2019s disease and SWEDD. J Park. Dis. 4(3):421\u2013430, 2014.","journal-title":"J Park. Dis."},{"issue":"3","key":"353_CR32","doi-asserted-by":"crossref","first-page":"201","DOI":"10.3233\/ICA-130428","volume":"20","author":"D Li","year":"2013","unstructured":"Li, D., Xu, L., Goodman, E., Xu, Y., and Wu, Y., Integrating a statistical background-foreground extraction algorithm and SVM classifier for pedestrian detection and tracking. Integr. Comput. Aided Eng. 20(3):201\u2013216, 2013.","journal-title":"Integr. Comput. Aided Eng."},{"issue":"7","key":"353_CR33","doi-asserted-by":"crossref","first-page":"1450023","DOI":"10.1142\/S0129065714500233","volume":"24","author":"LC Lin","year":"2014","unstructured":"Lin, L. C., Ouyang, C. S., Chiang, C. T., Yang, R. C., Wu, R. C., and Wu, H. C., Early prediction of medication refractoriness in children with idiopathic epilepsy based on scalp EEG analysis. Int. J. Neural Syst. 24(7):1450023, 2014 (16 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"4","key":"353_CR34","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.pneurobio.2011.09.005","volume":"95","author":"K Marek","year":"2011","unstructured":"Marek, K., Jennings, D., Lasch, S., Siderowf, A., Tanner, C., Simuni, T., Coffey, C., and Taylor, P., The Parkinson Progression Marker Initiative (PPMI). Prog. Neurobiol. 95(4):629\u2013635, 2011.","journal-title":"Prog. Neurobiol."},{"issue":"4","key":"353_CR35","doi-asserted-by":"crossref","first-page":"1350017","DOI":"10.1142\/S0129065713500172","volume":"23","author":"C Liu","year":"2013","unstructured":"Liu, C., Wang, J., Chen, Y. Y., Deng, B., Wei, X. L., and Li, H. Y., Closed-loop control of the thalamocortical relay neuron\u2019s Parkinsonian state based on slow variable. Int. J. Neural Syst. 23(4):1350017, 2013 (13 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"6","key":"353_CR36","doi-asserted-by":"crossref","first-page":"1550027","DOI":"10.1142\/S0129065715500276","volume":"25","author":"C Luo","year":"2015","unstructured":"Luo, C., Zhang, Y., Cao, W., Huang, Y., Yang, F., Wang, J., Tu, S., Wang, X., and Yao, D., Altered Structural and functional feature of striatocortical circuit in benign epilepsy with cectrotemporal spikes. Int. J. Neural Syst. 25(6):1550027, 2015 (13 pages).","journal-title":"Int. J. Neural Syst."},{"key":"353_CR37","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.neucom.2013.01.054","volume":"126","author":"FJ Martinez-Murcia","year":"2014","unstructured":"Martinez-Murcia, F. J., Gorriz, J. M., Ramirez, J., Illan, I. A., and The Parkinson\u2019s Progression Markers Initiative, Automated Detection of Parkinsonism Using Significance Measures and Component Analysis in DatSCAN imaging. Neurocomputing 126:58\u201370, 2014.","journal-title":"Neurocomputing"},{"issue":"7","key":"353_CR38","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1002\/mds.23684","volume":"26","author":"OS Mian","year":"2011","unstructured":"Mian, O. S., Schneider, S. A., Schwingenschuh, P., Bhatia, K. P., and Day, B. L., Gait in SWEDDs patients: comparison with Parkinson\u2019s disease patients and healthy controls. Mov. Disord. 26(7):1266\u20131273, 2011.","journal-title":"Mov. Disord."},{"issue":"2","key":"353_CR39","doi-asserted-by":"crossref","first-page":"1430006","DOI":"10.1142\/S012906571430006X","volume":"24","author":"M Parazzini","year":"2014","unstructured":"Parazzini, M., Fiocchi, S., Liorni, I., Priori, A., and Ravazzani, P., Computational modelling of transcranial direct current stimulation in the child brain: Implications for the treatment of refractory childhood focal epilepsy. Int. J. Neural Syst. 24(2):1430006, 2014 (10 pages).","journal-title":"Int. J. Neural Syst."},{"key":"353_CR40","doi-asserted-by":"crossref","first-page":"3333","DOI":"10.1016\/j.eswa.2013.11.031","volume":"41","author":"R Prashanth","year":"2014","unstructured":"Prashanth, R., Roy, S. D., Mandal, P. K., and Ghosh, S., Automatic classification and prediction models for early Parkinson\u2019s disease diagnosis from SPECT imaging. Expert Syst. Appl. 41:3333\u20133342, 2014.","journal-title":"Expert Syst. Appl."},{"key":"353_CR41","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.jneumeth.2013.11.016","volume":"222","author":"C Salvatore","year":"2014","unstructured":"Salvatore, C., Cerasa, A., Augimeri, A., Quattrone, A., Castiglioni, I., Gallivanone, F., Gilardi, M. C., and Morelli, M., Machine learning on brain MRI data for differential diagnosis of Parkinson\u2019s disease and progressive supranuclear palsy. J. Neurosci. Methods 222:230\u2013237, 2014.","journal-title":"J. Neurosci. Methods"},{"issue":"1","key":"353_CR42","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.jneumeth.2011.01.027","volume":"197","author":"Z Sankari","year":"2011","unstructured":"Sankari, Z., and Adeli, H., Probabilistic neural networks for diagnosis of Alzheimer\u2019s disease using conventional and wavelet coherence. J. Neurosci. Methods 197(1):165\u2013170, 2011.","journal-title":"J. Neurosci. Methods"},{"issue":"5","key":"353_CR43","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1016\/j.clinph.2010.09.008","volume":"122","author":"Z Sankari","year":"2011","unstructured":"Sankari, Z., Adeli, H., and Adeli, A., Intrahemispheric, interhemispheric and distal EEG coherence in Alzheimer\u2019s disease. Clin. Neurophysiol. 122(5):897\u2013906, 2011.","journal-title":"Clin. Neurophysiol."},{"issue":"3","key":"353_CR44","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1177\/1550059412444970","volume":"43","author":"Z Sankari","year":"2012","unstructured":"Sankari, Z., Adeli, H., and Adeli, A., Wavelet coherence model for diagnosis of Alzheimer\u2019s disease. Clin. EEG Neurosc. 43(3):268\u2013278, 2012.","journal-title":"Clin. EEG Neurosc."},{"issue":"15","key":"353_CR45","doi-asserted-by":"crossref","first-page":"2210","DOI":"10.1002\/mds.21685","volume":"22","author":"SA Schneider","year":"2007","unstructured":"Schneider, S. A., Edwards, M. J., Mir, P., Cordivari, C., Hooker, J., Dickson, J., Quinn, N., and Bhatia, K. P., Patients with adult-onset dystonic tremor resembling parkinsonian tremor have scans without evidence of dopaminergic deficit (SWEDDs). Mov. Disord. 22(15):2210\u20132215, 2007.","journal-title":"Mov. Disord."},{"issue":"5","key":"353_CR46","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1002\/mds.23019","volume":"25","author":"P Schwingenschuh","year":"2010","unstructured":"Schwingenschuh, P., Ruge, D., Edwards, M. J., Terranova, C., Katschnig, P., Carrillo, F., Silveira-Moriyama, L., and Bhatia, K. P., Distinguishing SWEDDs patients with asymmetric resting tremor from Parkinson\u2019s disease: a clinical and electrophysiological study. Mov. Disord. 25(5):560\u2013569, 2010.","journal-title":"Mov. Disord."},{"key":"353_CR47","doi-asserted-by":"crossref","DOI":"10.1002\/9781118534823","volume-title":"Computational intelligence - synergies of fuzzy logic, neural networks and evolutionary computing","author":"N Siddique","year":"2013","unstructured":"Siddique, N., and Adeli, H., Computational intelligence - synergies of fuzzy logic, neural networks and evolutionary computing. Wiley, West Sussex, 2013."},{"issue":"7","key":"353_CR48","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1136\/jnnp.2009.172825","volume":"80","author":"L Silveira-Moriyama","year":"2009","unstructured":"Silveira-Moriyama, L., Schwingenschuh, P., O\u2019Donnell, A., Schneider, S. A., Mir, P., Carrillo, F., Terranova, C., Petrie, A., Grosset, D. G., Quinn, N. P., Bhatia, K. P., and Lees, A. J., Olfaction in patients with suspected Parkinsonism and scans without evidence of dopaminergic deficit (SWEDDs). J. Neurol. Neurosurg. Psychiatry 80(7):744\u2013748, 2009.","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"353_CR49","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/0893-6080(90)90049-Q","volume":"3","author":"DF Specht","year":"1990","unstructured":"Specht, D. F., Probabilistic neural networks. Neural Netw. 3:109\u2013118, 1990.","journal-title":"Neural Netw."},{"issue":"1","key":"353_CR50","doi-asserted-by":"crossref","first-page":"1450030","DOI":"10.1142\/S0129065714500300","volume":"25","author":"F Su","year":"2015","unstructured":"Su, F., Wang, J., Deng, B., Wei, X. L., Chen, Y. Y., and Li, H. Y., Adaptive control of Parkinson\u2019s state based on a nonlinear computational model with unknown parameters. Int. J. Neural Syst. 25(1):1450030, 2015 (13 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"3","key":"353_CR51","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1111\/mice.12040","volume":"29","author":"BA Story","year":"2014","unstructured":"Story, B. A., and Fry, G. T., A structural impairment detection system using competitive arrays of artificial neural networks. Comput. Aided Civ. Infrastruct. Eng. 29(3):180\u2013190, 2014.","journal-title":"Comput. Aided Civ. Infrastruct. Eng."},{"issue":"1","key":"353_CR52","doi-asserted-by":"crossref","first-page":"1450030","DOI":"10.1142\/S0129065714500300","volume":"25","author":"F Su","year":"2015","unstructured":"Su, F., Wang, J., Deng, B., Wei, X. L., Chen, Y. Y., and Li, H. Y., Adaptive control of Parkinson\u2019s state based on a nonlinear computational model with unknown parameters. Int. J. Neural Syst. 25(1):1450030, 2015 (13 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"1","key":"353_CR53","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/S1474-4422(05)70285-4","volume":"5","author":"E Tolosa","year":"2006","unstructured":"Tolosa, E., Wenning, G., and Poewe, W., The diagnosis of Parkinson\u2019s disease. Lancet Neurol. 5(1):75\u201386, 2006.","journal-title":"Lancet Neurol."},{"issue":"11","key":"353_CR54","doi-asserted-by":"crossref","first-page":"1306","DOI":"10.1002\/mds.20153","volume":"19","author":"M Visser","year":"2004","unstructured":"Visser, M., Marinus, J., Stiggelbout, A. M., and Van Hilten, J. J., Assessment of autonomic dysfunction in Parkinson\u2019s disease: The SCOPA-AUT. Mov. Disord. 19(11):1306\u20131312, 2004.","journal-title":"Mov. Disord."},{"issue":"12","key":"353_CR55","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1016\/j.parkreldis.2014.09.024","volume":"20","author":"HJ Yang","year":"2014","unstructured":"Yang, H. J., Kim, Y. E., Yun, J. Y., Ehm, G., Kim, H. J., and Jeon, B. S., Comparison of sleep and other non-motor symptoms between SWEDDs patients and de novo Parkinson\u2019s disease patients. Parkinsonism Relat. Disord. 20(12):1419\u20131422, 2014.","journal-title":"Parkinsonism Relat. Disord."},{"issue":"4","key":"353_CR56","doi-asserted-by":"crossref","first-page":"1450015","DOI":"10.1142\/S0129065714500154","volume":"24","author":"Q Yuan","year":"2014","unstructured":"Yuan, Q., Zhou, W., Yuan, S., Li, X., Wang, J., and Jia, G., Epileptic EEG classification based on kernel sparse representation. Int. J. Neural Syst. 24(4):1450015, 2014 (13 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"4","key":"353_CR57","doi-asserted-by":"crossref","first-page":"391","DOI":"10.3233\/ICA-130439","volume":"20","author":"C Zhang","year":"2013","unstructured":"Zhang, C., Wang, H., Wang, H., and Wu, M., EEG-based expert system using complexity measures and probability density function control in alpha sub-band. Integr. Comput. Aided Eng. 20(4):391\u2013405, 2013.","journal-title":"Integr. Comput. Aided Eng."},{"issue":"6","key":"353_CR58","doi-asserted-by":"crossref","first-page":"1550020","DOI":"10.1142\/S0129065715500203","volume":"25","author":"Y Zhang","year":"2015","unstructured":"Zhang, Y., and Zhou, W., Multifractal analysis and relevance vector machine-based automatic seizure detection in intracranial. Int. J. Neural Syst. 25(6):1550020, 2015 (14 pages).","journal-title":"Int. J. Neural Syst."},{"issue":"3","key":"353_CR59","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1111\/j.1467-8667.2012.00803.x","volume":"28","author":"LR Zhou","year":"2013","unstructured":"Zhou, L. R., Ou, J. P., and Yan, G. R., Response surface method based on radial basis functions for modeling large-scale structures in model updating. Comput. Aided Civ. Infrastruct. Eng. 28(3):210\u2013226, 2013.","journal-title":"Comput. Aided Civ. Infrastruct. Eng."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-015-0353-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-015-0353-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-015-0353-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,31]],"date-time":"2019-08-31T02:35:20Z","timestamp":1567218920000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-015-0353-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,29]]},"references-count":59,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2015,11]]}},"alternative-id":["353"],"URL":"https:\/\/doi.org\/10.1007\/s10916-015-0353-9","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9,29]]},"article-number":"179"}}