کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6891531 | 698089 | 2016 | 23 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Development of a web-based liver cancer prediction model for type II diabetes patients by using an artificial neural network
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In the original dataset (n = 2060), 33% of diabetes patients were diagnosed with liver cancer (n = 515). After using 70% of the original data to training the model and other 30% for testing, the sensitivity and specificity of our model were 0.757 and 0.755, respectively; this means that 75.7% of diabetes patients can be predicted correctly to receive a future liver cancer diagnosis, and 75.5% can be predicted correctly to not be diagnosed with liver cancer. These results reveal that this model can be used as effective predictors of liver cancer for diabetes patients, after discussion with physicians; they also agreed that model can assist physicians to advise potential liver cancer patients and also helpful to decrease the future cost incurred upon cancer treatment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 125, March 2016, Pages 58-65
Journal: Computer Methods and Programs in Biomedicine - Volume 125, March 2016, Pages 58-65
نویسندگان
Hsiao-Hsien Rau, Chien-Yeh Hsu, Yu-An Lin, Suleman Atique, Anis Fuad, Li-Ming Wei, Ming-Huei Hsu,