Artificial neural network for prediction of lymph node metastases in gastric cancer: a phase II diagnostic study.
about
Clinical significance of lymphadenectomy in patients with gastric cancerComplementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and ChallengesThe Application of Classification and Regression Trees for the Triage of Women for Referral to Colposcopy and the Estimation of Risk for Cervical Intraepithelial Neoplasia: A Study Based on 1625 Cases with Incomplete Data from Molecular Tests.Treatment of early gastric cancer in the Western World.Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy.Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study.Support vector machine model for diagnosis of lymph node metastasis in gastric cancer with multidetector computed tomography: a preliminary study.An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer.Application of artificial neural network in predicting the survival rate of gastric cancer patientsApplications of machine learning in cancer prediction and prognosisPredicting recurrent aphthous ulceration using genetic algorithms-optimized neural networks.An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival.Developing an Intelligent System for Diagnosis of Asthma Based on Artificial Neural NetworkTaqMan low-density arrays and analysis by artificial neuronal networks predict response to neoadjuvant chemoradiation in esophageal cancer.Evaluation of an artificial neural network to predict urea nitrogen appearance for critically ill multiple-trauma patients.Prospective, comparative study for the evaluation of lymph node involvement in gastric cancer: Maruyama computer program versus sentinel lymph node biopsy.Preoperative apparent diffusion coefficient value of gastric cancer by diffusion-weighted imaging: Correlations with postoperative TNM staging.
P2860
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P2860
Artificial neural network for prediction of lymph node metastases in gastric cancer: a phase II diagnostic study.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
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name
Artificial neural network for ...... : a phase II diagnostic study.
@en
type
label
Artificial neural network for ...... : a phase II diagnostic study.
@en
prefLabel
Artificial neural network for ...... : a phase II diagnostic study.
@en
P2093
P356
P1476
Artificial neural network for ...... : a phase II diagnostic study.
@en
P2093
Arnulf H Hölscher
Elfriede H Bollschweiler
Karin Hensler
Keiichi Maruyama
Stefan P Mönig
Stephan E Baldus
P2888
P304
P356
10.1245/ASO.2004.04.018
P577
2004-05-01T00:00:00Z
P6179
1046042796