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  1. No Access

    Article

    Estimating the mortality rate using statistical variance and reduced set of clinical and non-clinical attributes for diagnosing chronic kidney disease

    It is found that, chronic kidney disease (CKD) is prevalence worldwide. Quality of life (QoL) in terms of health became an essential measure for patients with CKD. This paper uses the real-time dataset of CKD ...

    K. Meena, A. Vadivel, P. Sumathy, Abu Taha Zamani, Sultan M. Alanazi… in Soft Computing (2023)

  2. Article

    Performance evaluation of deep learning techniques for lung cancer prediction

    Due to the increase in pollution, the number of deaths caused by lung disease is rising rapidly. It is essential to predict the disease in earlier stages by means of high-level knowledge and acquaintance. Deep...

    B. S. Deepapriya, Parasuraman Kumar, G. Nandakumar, S. Gnanavel… in Soft Computing (2023)

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    Article

    Smart cataract detection system with bidirectional LSTM

    Traditional IT with advent of convolution neural networks and deep learning can lead a trendsetter for healthcare sector, diseases identification and prediction. An essential upsurge during pandemic is virtual...

    B. J. D. Kalyani, U. Hemavathi, K. Meena, B. S. Deepapriya… in Soft Computing (2023)

  4. No Access

    Article

    Analysis of MRI brain tumor images using deep learning techniques

    A popular deep learning-based object detection technique is the 'You Only Look Once' v3 (YOLOv3) method for brain tumor detection from tumor patients. The YOLOv3 model was trained using a set of 3064 pre-proce...

    B. J. D. Kalyani, K. Meena, E. Murali, L. Jayakumar, D. Saravanan in Soft Computing (2023)

  5. No Access

    Article

    Deep learning techniques for prediction of pneumonia from lung CT images

    Pneumonia disease is caused by viruses and bacteria which affect one or both lungs. It is the most dangerous disease that causes huge cancer death worldwide. Early detection of Pneumonia is the only way to imp...

    K. Meena, T. Veeramakali, Ngangbam Herojit Singh, L. Jayakumar… in Soft Computing (2023)

  6. No Access

    Article

    Deep neural network with reduced feature for classification of breast cancer mammogram

    Breast disease is the prevalent malignant growth in female all over the world and it is expanding in non-industrial nations, where most cases are analysed late. Mammography remains the best symptomatic advance...

    N. N. Krishna Veni, V. Preetha, K. Meena, T. Kamaleshwar, A. V. R. Mayuri… in Soft Computing (2022)

  7. No Access

    Article

    A novel method for prediction of skin disease through supervised classification techniques

    Skin diseases are the most important worrying problems in societies because it affects the patients both physically and psychologically. Skin disease is one of the highly prone to risk with an association of c...

    K. Meena, N. N. Krishna Veni, B. S. Deepapriya, P. A. Harsha Vardhini… in Soft Computing (2022)