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Obesity

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Tracking of Nutritional Intake Using Artificial Intelligence.

Studies in health technology and informatics
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating disorders. We demonstrate feasibility of applying deep learning based image analysis to a single pictur...

A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Biomedical text classification requires having training examples labeled by clinical specialists, a process that can be costly. To address this problem, active learning incrementally selects a subset of the most informative unlabeled examples, sample...

Robot-Assisted Total Laparoscopic Hysterectomy in Different Classes of Obesity: A Cohort Study.

JSLS : Journal of the Society of Laparoendoscopic Surgeons
BACKGROUND AND OBJECTIVES: Robot-assisted laparoscopic hysterectomy is a safe and feasible approach in patients with higher body mass index (BMI). Slightly longer operating time in patients with high BMI did not result in higher complication or conve...

Obesity as a Risk Factor for Accelerated Brain Ageing in First-Episode Psychosis-A Longitudinal Study.

Schizophrenia bulletin
BACKGROUND: Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study in first episode of psychosis (FEP), we used machine learnin...

The Role of Chronic Renal Disease on the Linking Obesity/Hypertension.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Obesity is accompanied by several disorders. This study investigated the role of chronic renal disease on the linking obesity/hypertension (HTN). It also considered the importance of visceral obesity on renal disease with or without HTN. One hundred ...

[Obesity and inflammation in students of a Colombian public university].

Revista de salud publica (Bogota, Colombia)
OBJECTIVE: To describe the relationship between obesity and proinflammatory variables in the student population of the University of Quindío.

Deep learning applied to polysomnography to predict blood pressure in obstructive sleep apnea and obesity hypoventilation: a proof-of-concept study.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
STUDY OBJECTIVES: Nocturnal blood pressure (BP) profile shows characteristic abnormalities in OSA, namely acute postapnea BP surges and nondipping BP. These abnormal BP profiles provide prognostic clues indicating increased cardiovascular disease ris...

Machine Learning-Based Identification of Obesity from Positive and Unlabelled Electronic Health Records.

Studies in health technology and informatics
INTRODUCTION: Prevalence of overweight and obesity are increas- ing in the last decades, and with them, diseases and health conditions such as diabetes, hypertension or cardiovascular diseases. However, hos- pital databases usually do not record such...

Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss.

Translational behavioral medicine
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight management. Just-in-time adaptive interventions (JITAIs), which collect and analyze data in real time to deli...