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Mojtaba Johari Moghadam

School of Mechanical Engineering, Iran University of Science & Technology, Tehran, Iran

Publications

  • Original Article   
    Prediction of Mortality Rate among ICU Patients based on Vital Signals using Data Analysis Methods
    Author(s): Mojtaba Johari Moghadam*, Nazanin Johari Moghadam and Adel Joharimoghadam

    Using a scoring system for illness intensity can be a signpost for the physician to objectively assess the future state of the patient or estimate the probability of his/her recovery. In fact, due to individual differences among ICU patients, it seems necessary to develop a special estimation system for every intensive care unit. This system helps physicians to prioritize the patients in receiving appropriate care and helps them to be more explicit in explaining and presenting the final state of the illness to the patients’ affiliates. By analyzing the vital signals of ICU patients, their mortality rate can be automatically predicted. In our proposed system, using statistical analyses and Wavelet change, several features were extracted out of the patients’ vital signals. Then using Fisher’s standard analysis and multi-layered perceptron neural network classification,.. Read More»

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