AIMC Topic: ROC Curve

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Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy.

World journal of urology
INTRODUCTION: Adherent perirenal fat (APF) can be defined as inflammatory fat sticking to renal parenchyma, whose dissection is difficult and makes it troublesome to expose the tumour. Our objective was to evaluate the impact of APF on the technical ...

Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: For many literature review tasks, including systematic review (SR) and other aspects of evidence-based medicine, it is important to know whether an article describes a randomized controlled trial (RCT). Current manual annotation is not com...

Phase information of time-frequency transforms as a key feature for classification of atrial fibrillation episodes.

Physiological measurement
Patients suffering from atrial fibrillation can be classified into different subtypes, according to the temporal pattern of the arrhythmia and its recurrence. Nowadays, clinicians cannot differentiate a priori between the different subtypes, and pati...

Neurons from the adult human dentate nucleus: neural networks in the neuron classification.

Journal of theoretical biology
OBJECTIVES: Topological (central vs. border neuron type) and morphological classification of adult human dentate nucleus neurons according to their quantified histomorphological properties using neural networks on real and virtual neuron samples.

imDC: an ensemble learning method for imbalanced classification with miRNA data.

Genetics and molecular research : GMR
Imbalances typically exist in bioinformatics and are also common in other areas. A drawback of traditional machine learning methods is the relatively little attention given to small sample classification. Thus, we developed imDC, which uses an ensemb...

Autonomous unobtrusive detection of mild cognitive impairment in older adults.

IEEE transactions on bio-medical engineering
The current diagnosis process of dementia is resulting in a high percentage of cases with delayed detection. To address this problem, in this paper, we explore the feasibility of autonomously detecting mild cognitive impairment (MCI) in the older adu...

Classification of lung cancer using ensemble-based feature selection and machine learning methods.

Molecular bioSystems
Lung cancer is one of the leading causes of death worldwide. There are three major types of lung cancers, non-small cell lung cancer (NSCLC), small cell lung cancer (SCLC) and carcinoid. NSCLC is further classified into lung adenocarcinoma (LADC), sq...

Factors Contributing to Early Recovery of Urinary Continence Analyzed by Pre- and Postoperative Pelvic Anatomical Features at Robot-Assisted Laparoscopic Radical Prostatectomy.

Journal of endourology
OBJECTIVE: The aim of the present study is to elucidate factors contributing to early recovery of urinary continence after robot-assisted laparoscopic radical prostatectomy (RARP) from the perspective of urethral and vesical anatomical features after...

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. Many severity scores have been proposed, but findings of validation studies have shown that they are not adequately calibrated. The Super ICU Learner A...