AIMC Topic: Young Adult

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Mining nutrigenetics patterns related to obesity: use of parallel multifactor dimensionality reduction.

International journal of bioinformatics research and applications
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nutrigenetics study, in which nutritional and genetic factors associated with obesity were recorded for around two thousand individuals. In our previous ...

Acute appendicitis diagnosis using artificial neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field.

[Robot-assisted and laparoscopic partial splenectomy for nonparasitic cysts].

Khirurgiia
21 patients with nonparasitic spleen cysts were operated. Robot-assisted (RA) interventions were applied in 10 cases, laparoscopic--in 11 patients. Men surgery duration was 124 minutes in case of RA-technique and 120 minutes if laparoscopy was used. ...

Fast, Continuous Audiogram Estimation Using Machine Learning.

Ear and hearing
OBJECTIVES: Pure-tone audiometry has been a staple of hearing assessments for decades. Many different procedures have been proposed for measuring thresholds with pure tones by systematically manipulating intensity one frequency at a time until a disc...

Bodypart Recognition Using Multi-stage Deep Learning.

Information processing in medical imaging : proceedings of the ... conference
Automatic medical image analysis systems often start from identifying the human body part contained in the image; Specifically, given a transversal slice, it is important to know which body part it comes from, namely "slice-based bodypart recognition...

Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.

Information processing in medical imaging : proceedings of the ... conference
Brain morphometry study plays a fundamental role in medical imaging analysis and diagnosis. This work proposes a novel framework for brain cortical surface classification using Wasserstein distance, based on uniformization theory and Riemannian optim...

Diagnosis of periodontal diseases using different classification algorithms: a preliminary study.

Nigerian journal of clinical practice
OBJECTIVE: The purpose of the proposed study was to develop an identification unit for classifying periodontal diseases using support vector machine (SVM), decision tree (DT), and artificial neural networks (ANNs).

Do all sub acute stroke patients benefit from robot-assisted therapy? A retrospective study.

Restorative neurology and neuroscience
PURPOSE: Upper limb robot-assisted rehabilitation is a highly intensive therapy, mainly recommended after stroke. Whether robotic therapy is suitable for subacute patients with severe impairments including cognitive disorders is unknown. This retrosp...