Artificial intelligence-enabled obesity prediction: A systematic review of cohort data analysis

SRN Kalhori, F Najafi, H Hasannejadasl… - International Journal of …, 2025 - Elsevier
Background Obesity, now the fifth leading global cause of death, has seen a dramatic rise in
prevalence over the last forty years. It significantly increases the risk of diseases such as …

Automatic sleep stage classification using nasal pressure decoding based on a multi-kernel convolutional bilstm network

M Lee, H Kang, SH Yu, H Cho, J Oh… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Sleep quality is an essential parameter of a healthy human life, while sleep disorders such
as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold …

Deep learning-based ultrasonographic classification of canine chronic kidney disease

H Yu, IG Lee, JY Oh, J Kim, JH Jeong… - Frontiers in Veterinary …, 2024 - frontiersin.org
Objectives In veterinary medicine, attempts to apply artificial intelligence (AI) to
ultrasonography have rarely been reported, and few studies have investigated the value of …

Improving BMI Classification Accuracy with Oversampling and 3-D Gait Analysis on Imbalanced Class Data

B Kwon - Journal of The Korea Society of Computer and …, 2024 - koreascience.kr
In this study, we propose a method to improve the classification accuracy of body mass
index (BMI) estimation techniques based on three-dimensional gait data. In previous studies …

불균형한클래스데이터에서오버샘플링및3 차원보행분석을통한BMI 분류정확도개선

권범 - 한국컴퓨터정보학회논문지, 2024 - dbpia.co.kr
본 연구에서는 3 차원 보행 데이터 기반 체질량지수 (Body Mass Index, BMI) 추정 기술의 분류
정확도를 향상시킬 수 있는 방법을 제안한다. BMI 추정 기술에 관해 기존 연구에서는 BMI 분류 …

Analysis on Various Machine Learning Framework for Obesity Level Prediction

MAS Shakti, M Vijayalakshmi, N Kumar… - 2024 1st International …, 2024 - ieeexplore.ieee.org
In the realm of public health, predicting obesity levels through machine learning emerges as
a crucial initiative. This study employs a dataset comprising 2111 instances and 17 features …