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Recently there has been a great research conducted on diverse variations of multi-objective swarm optimization algorithms each of which might have its own strengths and weaknesses. Due to the high complexity of multi-objective problems the efficiency of these methods has become a matter of concern. In this paper a new multi-objective meta-heuristic(More)
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)
BACKGROUND For patients with adult spinal deformity (ASD), surgical treatment may improve their health-related quality of life. This study investigates when the greatest improvement in outcomes occurs and whether incremental improvements in patient-reported outcomes during the first postoperative year predict outcomes at 3 years. METHODS Using a(More)
BACKGROUND Telephone calls play a significant role in the follow-up care of postoperative patients. However, further data are needed to identify the determinants of patient-initiated telephone calls after surgery because these factors may also highlight potential areas of improvement in patient satisfaction and during the hospital discharge process.(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)
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 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)