The aim of this study is to develop the Bayesian Least Squares Support Vector Machine (LS-SVM) classifiers, for preoperatively predicting the malignancy of ovarian tumors. We describe how to perform parameter estimation, input variable selection for LS-SVM within the evidence framework. The issue of computing the posterior class probability for risk minimization decision making is addressed. Th...

Extensive anthropogenic terrestrial sedimentary deposits are well recognized in the geologic literature and are increasingly being referred to as legacy sediment (LS). Definitions of LS are reviewed and a broad but explicit definition is recommended based on episodically produced anthropogenic sediment. The phrase is being used in a variety of ways, but primarily in North America to describe po...

BACKGROUND This study was designed to comparatively assess laryngeal function and quality of life (QOL) of patients after laser surgery (LS) or radiotherapy (RT) for early glottic cancer. METHODS Sixty-four patients with T1 glottic cancer treated with RT or type II cordectomy underwent both subjective and objective vocal assessments. The LS group was divided into the following: (1) vaporizati...

The noninvasive quantitation of liver stiffness (LS) by ultrasound based transient elastography using FibroScan® has revolutionized the diagnosis of liver diseases, namely liver cirrhosis. Alternative techniques such as acoustic radiation impulse frequency imaging or magnetic resonance elastography are currently under investigation. LS is an excellent surrogate marker of advanced fibrosis (F3) ...

AIM The morbidity of surgical site infections (SSIs) were compared in patients who underwent open (OS) vs laparoscopic (LS) colorectal surgery. METHOD Data from 603 consecutive LS patients and 2246 consecutive OS patients were prospectively recorded. Morbidity of SSIs was assessed by the need for emergency department (ED) evaluation, subsequent hospital re-admission and re-operation. The cost...

This paper proposes the least-squares support vector machine (LS-SVM) as an intelligent method applied on absorption spectra for the simultaneous determination of paracetamol (PCT), caffeine (CAF) and ibuprofen (IB) in Novafen. The signal to noise ratio (S/N) increased. Also, In the LS - SVM model, Kernel parameter (σ2) and capacity factor (C) were optimized. Excellent prediction was shown usin...