AIMC Topic: Male

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Development of an Adolescent Depression Ontology for Analyzing Social Data.

Studies in health technology and informatics
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social medi...

Using EHRs and Machine Learning for Heart Failure Survival Analysis.

Studies in health technology and informatics
"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By calculating a HF survival risk score based on patient-specific characteristics from Electronic Health R...

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...

Single-Site Robotic Cholecystectomy at an Inner-City Academic Center.

JSLS : Journal of the Society of Laparoendoscopic Surgeons
INTRODUCTION: We investigate the safety and efficacy of single-site robotic cholecystectomy compared to laparoscopic cholecystectomy at an inner-city academic medical center.

Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

Asian Pacific journal of cancer prevention : APJCP
BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model anal...

Improving Quality of Life and Depression After Stroke Through Telerehabilitation.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association
OBJECTIVE: The aim of this study was to determine the effects of home-based robot-assisted rehabilitation coupled with a home exercise program compared with a home exercise program alone on depression and quality of life in people after stroke.

[Anesthetic management of robot-assisted radical prostatectomy].

Khirurgiia
The authors have an experience in performing of 700 radical prostatectomies by using of daVinci-robot. The main factors determining parameters of operation and anesthesia are presented in the article. The authors give recommendations for optimization...

Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer.

Epigenomics
AIMS: We applied artificial neural networks (ANNs) to understand the connections among polymorphisms of genes involved in folate metabolism, clinico-pathological features and promoter methylation levels of MLH1, APC, CDKN2A(INK4A), MGMT and RASSF1A i...