PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Healthcare Informatics Research10.4258/hir.2018.24.2.1092018242109Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy SystemHamidreza Maharlou, Sharareh R. Niakan Kalhori, Shahrbanoo Shahbazi, Ramin Ravangardhttps://synapse.koreamed.org/pdf/10.4258/hir.2018.24.2.109, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2018.24.2.109, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2018.24.2.109
Journal of Cardiothoracic and Vascular Anesthesia10.1053/j.jvca.2018.04.01020183262683-2684Predicting Intensive Care Unit Length of Stay After Cardiac SurgeryEdward Litton, Michael McCann, Frank van Harenhttps://api.elsevier.com/content/article/PII:S1053077018302374?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1053077018302374?httpAccept=text/plain
Artificial Intelligence Review10.1007/s10462-018-9630-62018521495-525Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a surveyZahra Pezeshki, Sayyed Majid Mazinanihttp://link.springer.com/content/pdf/10.1007/s10462-018-9630-6.pdf, http://link.springer.com/article/10.1007/s10462-018-9630-6/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10462-018-9630-6.pdf
Applied Soft Computing10.1016/j.asoc.2011.01.02520111143525-3533An effectiveness model for an indirect evaporative cooling (IEC) system: Comparison of artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and fuzzy inference system (FIS) approachT. Ravi Kiran, S.P.S. Rajputhttps://api.elsevier.com/content/article/PII:S1568494611000354?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1568494611000354?httpAccept=text/plain
Journal of Intelligent Manufacturing10.1007/s10845-015-1146-12015294905-923Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory controlPrasert Aengchuan, Busaba Phruksaphanrathttp://link.springer.com/content/pdf/10.1007/s10845-015-1146-1.pdf, http://link.springer.com/article/10.1007/s10845-015-1146-1/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10845-015-1146-1, http://link.springer.com/content/pdf/10.1007/s10845-015-1146-1.pdf
Journal of Cardiac Surgery10.1111/j.1540-8191.2008.00716.x2009242127-133Prediction of Prolonged Length of Stay in the Intensive Care Unit After Cardiac Surgery: The Need for a Multi-institutional Risk Scoring SystemNouredin Messaoudi, Jeroen De Cocker, Bernard Stockman, Leo L. Bossaert, Inez E. R. Rodrigushttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1540-8191.2008.00716.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1540-8191.2008.00716.x/fullpdf
Water Supply10.2166/ws.2020.06220202041396-1408Prediction of daily streamflow using artificial neural networks (ANNs), wavelet neural networks (WNNs), and adaptive neuro-fuzzy inference system (ANFIS) modelsHüseyin Yıldırım Dalkiliç, Said Ali Hashimihttp://iwaponline.com/ws/article-pdf/20/4/1396/705088/ws020041396.pdf, http://iwaponline.com/ws/article-pdf/20/4/1396/705088/ws020041396.pdf
10.21203/rs.3.rs-1696942/v12023Modelling of biodiesel production from transesterification process of sandbox (Hura crepitans L.) seed oil: performance comparison of artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS)Olajide Olukayode Ajala, Joel Olatunbosun Oyelade, Emmanuel Olusola Oke, Oluwole Oluwatoyin Oniyahttps://www.researchsquare.com/article/rs-1696942/v1, https://www.researchsquare.com/article/rs-1696942/v1.html
Interactive CardioVascular and Thoracic Surgery10.1093/icvts/ivac0082022345731-734Does early extubation after cardiac surgery lead to a reduction in intensive care unit length of stay?Marcus Taylor, Denish Apparau, Roberto Mosca, Nnamdi Nwaejikehttps://academic.oup.com/icvts/article-pdf/34/5/731/43517694/ivac008.pdf, https://academic.oup.com/icvts/article-pdf/34/5/731/43517694/ivac008.pdf
Kidney International Reports10.1016/j.ekir.2020.02.017202053S6-S7SAT-013 COMPARISON OF ARTIFICIAL NEURAL NETWORK MODEL AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM(ANFIS) MODEL FOR PREDICTING HEMODIALYSIS INITIATION IN METHANOL POISONED PATIENTS title hereR. Hekmat, M. Goharimanesh, B. Dadpourhttps://api.elsevier.com/content/article/PII:S246802492030070X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S246802492030070X?httpAccept=text/plain