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Studies in Health Technology and Informatics|April 21, 2017
Dermatology Disease Prediction Based on Two Step Cascade Genetic Algorithm Optimization of ANFIS ParametersAja Avdagic, Lejla Begic Fazlic
Studies in Health Technology and Informatics|May 19, 2015
Prediction of Heart Attack Risk Using GA-ANFIS Expert System PrototypeLejla Begic Fazlic, Aja Avdagic, Ingmar Besic
Studies in Health Technology and Informatics|June 21, 2011
Detection of nicotine content impact in tobacco manufacturing using computational intelligenceLejla Begic Fazlic, Zikrija Avdagic
Studies in Health Technology and Informatics|September 12, 2009
Optimized detection of tar content in the manufacturing process using adaptive neuro-fuzzy inference systemsZikrija Avdagic, Lejla Begic Fazlic, Samim Konjicija
Studies in Health Technology and Informatics|May 21, 2015
GA-ANFIS Expert System Prototype for Prediction of Dermatological DiseasesLejla Begic Fazlic, Korana Avdagic, Samir Omanovic
Studies in Health Technology and Informatics|November 3, 2022
A Visualization and Benchmarking Simulator for Clinical DataMarlies Morgen, Lejla Begic Fazlic, Arne Peine, et al.
JMIR Medical Informatics|October 12, 2019
A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept StudyArne Peine, Ahmed Hallawa, Oliver Schöffski, et al.
JMIR Medical Informatics|August 24, 2022
Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative StudyAhmad Ayad, Ahmed Hallawa, Arne Peine, et al.
Studies in Health Technology and Informatics|November 3, 2022
Development and Implementation of the Data Science Learning Platform for Research PhysicianLejla Begic Fazlic, Marvin Schacht, Marlies Morgen, et al.
NPJ Digital Medicine|February 20, 2021
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical careArne Peine, Ahmed Hallawa, Johannes Bickenbach, et al.
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