نتایج جستجو برای: recurrence prediction
تعداد نتایج: 337559 فیلتر نتایج به سال:
BACKGROUND The prediction of recurrent venous thrombosis using individual genetic risk predictors has proven to be challenging. The aim of this study was to assess whether multiple genetic single nucleotide polymorphism (SNP) analysis would predict recurrent venous thrombosis. METHODS AND RESULTS Patients with a first venous thrombosis were followed for a recurrent venous thrombosis up to 200...
BACKGROUND The patterns of gastric cancer recurrence vary across societies. We designed the current study in an attempt to evaluate and reveal the outbreak of the recurrence patterns of gastric cancer and also prediction of time to recurrence and its effected factors in Iran. MATERIALS AND METHODS This research was performed from March 2003 to February 2007. Demographic characteristics, clini...
A risk calculator algorithm to allow prediction of probabilities of 1- and 5-year recurrence and progression rates in individuals with pTa/pT1 bladder cancer has been proposed by the European Organisation for Research and Treatment of Cancer (EORTC) and was incorporated into the European Association of Urology guidelines in 2006. We attempted to validate this algorithm in a cohort of patients w...
the renewable energy resources such as wind power have recently attracted more researchers’ attention. it is mainly due to the aggressive energy consumption, high pollution and cost of fossil fuels. in this era, the future fluctuations of these time series should be predicted to increase the reliability of the power network. in this paper, the dynamic characteristics and short-term predictabili...
Abstract Recurrence is the key factor affecting prognosis of osteosarcoma. Currently, there a lack clinically useful tools to predict osteosarcoma recurrence. The application pathological images for artificial intelligence‐assisted accurate prediction tumour outcomes increasing. Thus, present study constructed quantitative histological image classifier with nuclear features using haematoxylin a...
BACKGROUND Recurrence prediction of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients undergoing liver transplantation (LT) present a great challenge because of a lack of biomarkers. Genetic variations play an important role in tumor development and metastasis. METHODS Oligonucleotide microarrays were used to evaluate the genetic characteristics of tumor DNA in 30 HBV-re...
OBJECTIVE We aimed to determine the validity of two risk scores for patients with non-muscle invasive bladder cancer in different European settings, in patients with primary tumours. METHODS We included 1,892 patients with primary stage Ta or T1 non-muscle invasive bladder cancer who underwent a transurethral resection in Spain (n = 973), the Netherlands (n = 639), or Denmark (n = 280). We ev...
This paper introduces the Recurrence Surface Approximation, an inductive learning method based on linear programming that predicts recurrence times using censored training examples, that is, examples in which the available training output may be only a lower bound on the \right answer." This approach is augmented with a feature selection method that chooses an appropriate feature set within the...
Hepatocellular carcinoma is one of the leading causes of death by cancer worldwide. Prognosis of hepatocellular carcinoma is determined by characteristics of the tumor and the surrounding cirrhotic liver. Several molecular signatures reflecting tumor biology and derived from tumor analyses predict early tumor recurrence and survival. In contrast, molecular signatures from cirrhotic non-tumor sa...
Abstract Aim Long-term survival after oesophagectomy remains poor, with recurrence a feared common outcome. Prediction tools can identify high-risk patients and optimise treatment decisions based on their prognostic factors. This study developed prediction model to predict long-term time-to-recurrence following surgery for oesophageal cancer. Method Patients undergoing curative from the Europea...
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