Konu "machine learning" için Mühendislik Fakültesi / Faculty of Engineering listeleme

Toplam kayıt 6, listelenen: 1-6

    • Daphnet Freezing Recognition with Gait Data by Using Machine Learning Algorithms 

      Guney, Selda; Boluk, Busra (2020)
      The aim of this study was to test the success of the data set obtained by a wearable health assistant developed for the symptom of freezing (FOG) in gait of Parkinson's patients and to increase the success of the system. ...

    • Heart Disease Prediction by Using Machine Learning Algorithms 

      Erdogan, Alperen; Guney, Selda (2020)
      Nowadays, one of the most important illness is heart disease which cause of mostly patients dead. Medical diagnosis of heart diseases is very difficult. While heart diseases are diagnosed medically, they can be confused ...

    • Idfatification Using FCG Signals 

      Kilicer, Elif Cansu; Ay, Sevval; Aksahin, Mehmet Feyzi (2020)
      Systems that determine identity with individual features are called biometric systems. Today, voice, fingerprint, retina/iris, and facial recognition systems are some of the biometric identification methods. These methods ...

    • Predicting Diabetes Using Machine Learning Techniques 

      Kirgil, Elif Nur Haner; Erkal, Begum; Ayyildiz, Tulin Ercelebi (2022)
      Early diagnosis of diabetes, which can cause death, is very important for the health of the person. In the literature, machine learning techniques are frequently used in diagnosis of many diseases, including diabetes. The ...

    • Predicting Infections Using Computational Intelligence - A Systematic Review 

      Baldominos, Alejandro; Puello, Adrian; Ogul, Hasan; Asuroglu, Tunc; Colomo-Palacios, Ricardo (2020)
      Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care ...

    • Using Machine Learning Methods in Early Diagnosis of Breast Cancer 

      Erkal, Begum; Ayyildiz, Tulin Ercelebi (2021)
      Breast cancer is one of the most important health diseases to be treated in the world, and it is a subject that has a wide place in research subjects. In this study, results are provided by using seven different machine ...