AIMC Topic: Humans

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Application of Machine Learning Techniques for Enuresis Prediction in Children.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie
INTRODUCTION:  As a subset of artificial intelligence, machine learning techniques (MLTs) may evaluate very large and raw datasets. In this study, the aim is to establish a model by MLT for the prediction of enuresis in children.

Impact of obesity on surgical and oncologic outcomes in patients with endometrial cancer treated with a robotic approach.

The journal of obstetrics and gynaecology research
AIM: The surgical treatment of endometrial cancer (EC) can be more complicated in obese patients. Robotic surgery could simplify the surgical approach in these patients. The aim of our study was to compare the outcomes of robotic surgery in obese (bo...

Frequency-dependent organization of the brain's functional network through delayed-interactions.

Neural networks : the official journal of the International Neural Network Society
The structure of the brain network exhibits modularity at multiple spatial scales. The effect of the modular structure on the brain dynamics has been the focus of several studies in recent years but many aspects remain to be explored. For example, it...

PadChest: A large chest x-ray image dataset with multi-label annotated reports.

Medical image analysis
We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes more than 160,000 images obtained from 67,000 patients that were interpre...

Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification.

Neural networks : the official journal of the International Neural Network Society
Recent years have witnessed the increasing popularity of Location-based Social Network (LBSN) services, which provides unparalleled opportunities to build personalized Point-of-Interest (POI) recommender systems. Existing POI recommendation and locat...

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering.

Neural networks : the official journal of the International Neural Network Society
The goal of answer selection is to select the most applicable answers from an answer candidate pool. It plays an essential role in numerous applications in information retrieval (IR) and natural language processing (NLP). In this paper, we introduce ...

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance.

Computers in biology and medicine
In this paper, we propose a generalized wrapper-based feature selection, called GeFeS, which is based on a parallel new intelligent genetic algorithm (GA). The proposed GeFeS works properly under different numerical dataset dimensions and sizes, care...

Toward automated severe pharyngitis detection with smartphone camera using deep learning networks.

Computers in biology and medicine
PURPOSE: Severe pharyngitis is frequently associated with inflammations caused by streptococcal pharyngitis, which can cause immune-mediated and post-infectious complications. The recent global pandemic of coronavirus disease (COVID-19) encourages th...

Robot-assisted laparoscopic unroofing and fulguration of sequestered caliceal diverticula cluster.

Journal of pediatric urology
INTRODUCTION: We report a rare case of four sequestered caliceal diverticula that failed previous percutaneous sclerotherapy and were subsequently managed with robot-assisted laparoscopic unroofing and fulguration of the sequestered diverticula clust...