Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion

Đang chuẩn bị liên kết để tải về tài liệu:
Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion

Phượng Tiên 67 13 pdf

The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular carcinoma (HCC) is vital in determining postoperative adjuvant treatment and monitoring. This study aimed to develop and validate an artificial neural network (ANN) model to predict PHER in HCC patients without macroscopic vascular invasion. |

Đang chuẩn bị liên kết để tải về tài liệu:
Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion

Model detecting learning styles with artificial neural network

Correction and Supplementingation of the well log curves for Cuu Long oil basin by using the artificial neural networks

Design of intrusion detection system based on artificial neural network and application of rough set

Precise prediction of radiation interaction position in plastic rod scintillators using a fast and simple technique: Artificial neural network

Application of artificial neural networks for response surface modeling in HPLC method development

Prediction of bridge deck condition rating based on artificial neural networks

Applications of artificial neural network in textiles

Ranking of building maintenance contractors using multi-criteria decision making methods and an artificial neural network model

Groundwater level prediction using artificial neural network model

Predicting fire resistance ratings of timber structures using artificial neural networks

Đang chuẩn bị liên kết để tải về tài liệu: Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion