Healthcare Informatics Research

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Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System

Hamidreza Maharlou, Sharareh R. Niakan Kalhori, Shahrbanoo Shahbazi, Ramin Ravangard

Healthc Inform Res. 2018;24(2):109-117. Published online April 30, 2018
DOI: https://doi.org/10.4258/hir.2018.24.2.109

Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System

Hamidreza Maharlou, Sharareh R. Niakan Kalhori, Shahrbanoo Shahbazi, Ramin Ravangard

Healthcare Informatics Research. 2018;24(2):109

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Predicting Intensive Care Unit Length of Stay After Cardiac Surgery

Edward Litton, Michael McCann, Frank van Haren

Journal of Cardiothoracic and Vascular Anesthesia. 2018;32(6):2683-2684

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Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey

Zahra Pezeshki, Sayyed Majid Mazinani

Artificial Intelligence Review. 2018;52(1):495-525

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An 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) approach

T. Ravi Kiran, S.P.S. Rajput

Applied Soft Computing. 2011;11(4):3525-3533

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Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory control

Prasert Aengchuan, Busaba Phruksaphanrat

Journal of Intelligent Manufacturing. 2015;29(4):905-923

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Prediction of Prolonged Length of Stay in the Intensive Care Unit After Cardiac Surgery: The Need for a Multi-institutional Risk Scoring System

Nouredin Messaoudi, Jeroen De Cocker, Bernard Stockman, Leo L. Bossaert, Inez E. R. Rodrigus

Journal of Cardiac Surgery. 2009;24(2):127-133

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Prediction of daily streamflow using artificial neural networks (ANNs), wavelet neural networks (WNNs), and adaptive neuro-fuzzy inference system (ANFIS) models

Hüseyin Yıldırım Dalkiliç, Said Ali Hashimi

Water Supply. 2020;20(4):1396-1408

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Does early extubation after cardiac surgery lead to a reduction in intensive care unit length of stay?

Marcus Taylor, Denish Apparau, Roberto Mosca, Nnamdi Nwaejike

Interactive CardioVascular and Thoracic Surgery. 2022;34(5):731-734

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Modelling 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 Oniya

. 2023;

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SAT-013 COMPARISON OF ARTIFICIAL NEURAL NETWORK MODEL AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM(ANFIS) MODEL FOR PREDICTING HEMODIALYSIS INITIATION IN METHANOL POISONED PATIENTS title here

R. Hekmat, M. Goharimanesh, B. Dadpour

Kidney International Reports. 2020;5(3):S6-S7

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