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Prediction of survival for cancer patients is an open area of research. However, many of these studies focus on datasets with a large number of patients. We present a novel method that is specifically designed to address the challenge of data scarcity, which is often the case for cancer datasets. Our method is able to use unlabeled data to improve(More)
The concept of uncertainty is posed in almost any complex system including parallel robots as an outstanding instance of dynamical robotics systems. As suggested by the name, uncertainty, is some missing information that is beyond the knowledge of human thus we may tend to handle it properly to minimize the side-effects through the control process. Type-II(More)
—Cancer survival prediction is an active area of research that can help prevent unnecessary therapies and improve patient's quality of life. Gene expression profiling is being widely used in cancer studies to discover informative biomarkers that aid predict different clinical endpoint prediction. We use multiple modalities of data derived from RNA(More)
—In cloud investment markets, consumers are looking for the lowest cost and a desirable fairness while providers are looking for strategies to achieve the highest possible profit and return. Most existing models for auction-based resource allocation in cloud environments only consider the overall profit increase and ignore the profit of each participant(More)
BACKGROUND Telephone calls play a significant role in the follow-up care of postoperative patients. However, further data is needed to identify the determinants of patient-initiated telephone calls following surgery as these factors may also highlight potential areas of improvement in patient satisfaction and during the hospital discharge process. Thus, the(More)
OBJECTIVE Few data are available concerning clinical outcomes in patients with Parkinson disease who undergo elective thoracolumbar spine fusion surgery. The goal of this study is to elucidate complication and revision rates after posterior thoracolumbar fusion surgery in patients with Parkinson disease, with a focus on how Parkinson disease modifies these(More)
OBJECTIVE We present the largest known consecutive series of patients with epidural lipomatosis (EL) to characterize demographics and clinical symptoms of patients with EL on magnetic resonance imaging (MRI), and compare these characteristics against a matched control group. METHODS Patients evaluated for pathology requiring lumbar MRI imaging between(More)
OBJECTIVE Surgical correction of adult spinal deformity (ASD) is a complex undertaking with high revision rates. The elderly population is poorly studied with regard to revision surgery, yet senior citizens constitute a rapidly expanding surgical demographic. Previous studies aimed at elucidating appropriate risk factors for revision surgery have been(More)
OBJECTIVE We sought to investigate the postoperative morbidity and mortality rate of patients with chronic kidney disease (CKD) and end-stage renal disease (ESRD) undergoing elective anterior cervical fusion (ACF). METHODS The Nationwide Inpatient Sample database from 2002-2011 was used to identify adult patients who underwent elective ACF for(More)