AIMC Topic: Adolescent

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An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images.

Journal of digital imaging
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is required owing to the high incidence of breast cancer. Although various computer-aided diagnosis (CAD) systems have been developed to interpret ultras...

Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study.

Journal of psychiatry & neuroscience : JPN
BACKGROUND: Brain imaging is of limited diagnostic use in psychiatry owing to clinical heterogeneity and low sensitivity/specificity of between-group neuroimaging differences. Machine learning (ML) may better translate neuroimaging to the level of in...

Optimized echo state networks with leaky integrator neurons for EEG-based microsleep detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The performance of a microsleep detection system was calculated in terms of its ability to detect the behavioural microsleep state (1-s epochs) from spectral features derived from 16-channel EEG sampled at 256 Hz. Best performance from a single class...

Emotion recognition from sound stimuli based on back-propagation neural networks and electroencephalograms.

The Journal of the Acoustical Society of America
This research aims to explore the feasibility of using back-propagation (BP) neural networks and electroencephalograms (EEGs) to recognize the emotional reactions induced by sound stimuli in the dimensions of pleasure and arousal, as well as compare ...

The prevalence of problem opioid use in patients receiving chronic opioid therapy: computer-assisted review of electronic health record clinical notes.

Pain
To estimate the prevalence of problem opioid use, we used natural language processing (NLP) techniques to identify clinical notes containing text indicating problem opioid use from over 8 million electronic health records (EHRs) of 22,142 adult patie...

Risk Factors for Postoperative Morbidity After Totally Robotic Gastric Bypass in 302 Consecutive Patients.

Obesity surgery
BACKGROUND: Totally robotic gastric bypass (robotic Roux-en-Y gastric bypass, R-RYGBP) has been adopted in some centers on the basis of large retrospective studies. In view of some data showing higher morbidity and higher costs, some authors have con...

Laparoscopic and robotic sleeve gastrectomy: short- and long-term results.

Obesity surgery
INTRODUCTION: Sleeve gastrectomy has gained popularity over the past decade due to its safety, feasibility, and good results. The purpose of this study is to describe our results, both short and long term, with this procedure.

Clinical vestibular testing assessed with machine-learning algorithms.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Dizziness and imbalance are common clinical problems, and accurate diagnosis depends on determining whether damage is localized to the peripheral vestibular system. Vestibular testing guides this determination, but the accuracy of the dif...

Prechemotherapy robotic-assisted laparoscopic radical nephrectomy for an adolescent with Wilms tumor.

Journal of pediatric hematology/oncology
Although Wilms tumor (WT) is the most common pediatric renal tumor, adolescent and adult WT is rare. Nevertheless, adolescent renal tumors as a group are sufficiently uncommon that WT must be included in the differential diagnosis for such patients, ...

Minimally invasive kidney transplantation: perioperative considerations and key 6-month outcomes.

Transplantation
BACKGROUND: Minimally invasive approaches to kidney transplantation (KT) have been described recently. However, information concerning perioperative management in these patients is lacking. Accordingly, in the current study, we describe our periopera...