Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer
In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and control of oral cancer is identification and risk asses...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/234191 |
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| author | Neha Sharma Hari Om |
| author_facet | Neha Sharma Hari Om |
| author_sort | Neha Sharma |
| collection | DOAJ |
| description | In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and control of oral cancer is identification and risk assessment of early disease in the community in a cost-effective fashion. The objective of this research is to design a data mining model using probabilistic neural network and general regression neural network (PNN/GRNN) for early detection and prevention of oral malignancy. The model is built using the oral cancer database which has 35 attributes and 1025 records. All the attributes pertaining to clinical symptoms and history are considered to classify malignant and non-malignant cases. Subsequently, the model attempts to predict particular type of cancer, its stage and extent with the help of attributes pertaining to symptoms, gross examination and investigations. Also, the model envisages anticipating the survivability of a patient on the basis of treatment and follow-up details. Finally, the performance of the PNN/GRNN model is compared with that of other classification models. The classification accuracy of PNN/GRNN model is 80% and hence is better for early detection and prevention of the oral cancer. |
| format | Article |
| id | doaj-art-f8cb5acef5fb48e0b16efd95805834c6 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f8cb5acef5fb48e0b16efd95805834c62025-02-03T05:51:36ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/234191234191Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral CancerNeha Sharma0Hari Om1Dr. D.Y. Patil Institute of Master of Computer Applications, Akurdi, Savitribai Phule Pune University, Maharashtra 411007, IndiaComputer Science and Engineering Department, Indian School of Mines, Dhanbad, Jharkhand 826004, IndiaIn India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and control of oral cancer is identification and risk assessment of early disease in the community in a cost-effective fashion. The objective of this research is to design a data mining model using probabilistic neural network and general regression neural network (PNN/GRNN) for early detection and prevention of oral malignancy. The model is built using the oral cancer database which has 35 attributes and 1025 records. All the attributes pertaining to clinical symptoms and history are considered to classify malignant and non-malignant cases. Subsequently, the model attempts to predict particular type of cancer, its stage and extent with the help of attributes pertaining to symptoms, gross examination and investigations. Also, the model envisages anticipating the survivability of a patient on the basis of treatment and follow-up details. Finally, the performance of the PNN/GRNN model is compared with that of other classification models. The classification accuracy of PNN/GRNN model is 80% and hence is better for early detection and prevention of the oral cancer.http://dx.doi.org/10.1155/2015/234191 |
| spellingShingle | Neha Sharma Hari Om Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer The Scientific World Journal |
| title | Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer |
| title_full | Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer |
| title_fullStr | Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer |
| title_full_unstemmed | Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer |
| title_short | Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer |
| title_sort | usage of probabilistic and general regression neural network for early detection and prevention of oral cancer |
| url | http://dx.doi.org/10.1155/2015/234191 |
| work_keys_str_mv | AT nehasharma usageofprobabilisticandgeneralregressionneuralnetworkforearlydetectionandpreventionoforalcancer AT hariom usageofprobabilisticandgeneralregressionneuralnetworkforearlydetectionandpreventionoforalcancer |