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Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose.
BMC Med Res Methodol
December 2024
Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China.
Background: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML) are commonly used to analyse longitudinal data; however, the former is insufficient for dealing with complex, nonlinear data, whereas with the latter, random effects are ignored. The aim of this study was to develop LME, back propagation neural network (BPNN), and mixed-effects NN models that combine the 2 to predict FPG levels.
View Article and Find Full Text PDFPredicting the diabetic foot in the population of type 2 diabetes mellitus from tongue images and clinical information using multi-modal deep learning.
Front Physiol
December 2024
School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Aims: Based on the quantitative and qualitative fusion data of traditional Chinese medicine (TCM) and Western medicine, a diabetic foot (DF) prediction model was established through combining the objectified parameters of TCM and Western medicine.
Methods: The ResNet-50 deep neural network (DNN) was used to extract depth features of tongue demonstration, and then a fully connected layer (FCL) was used for feature extraction to obtain aggregate features. Finally, a non-invasive DF prediction model based on tongue features was realized.
The effect of vildagliptin versus metformin on hepatic steatosis in type 2 diabetic patients: a randomized controlled trial.
BMC Pharmacol Toxicol
December 2024
Internal Medicine Department, Faculty of Medicine, Minia University, Minia, Egypt.
Background: The risk of hepatic steatosis (HS) is elevated in patients with type 2 diabetes mellitus (T2D). Antidiabetic medications may contribute to the prevention or treatment of HS. This study aimed to compare the effects of vildagliptin and metformin on hepatic steatosis in newly diagnosed T2D patients, using the Hepatic Steatosis Index (HSI) and ultrasound grading.
View Article and Find Full Text PDFBioelectrical impedance analysis predicts prehypertension and hypertension: A hospital-based cross-sectional study.
J Family Med Prim Care
October 2024
Department of Internal Medicine Final Year Medical Student, Shri M. P. Shah Government Medical College, Jamnagar, Gujarat, India.
Background: Hypertension prediction using anthropometry and bioimpedance offers practical advantages for screening. We aimed to analyze various anthropometric and bioelectrical impedance (BIA) estimates as predictive markers of prehypertension and hypertension.
Methods: This cross-sectional analysis included 432 adult participants recruited from the medicine outpatient department of a tertiary hospital.
Traditional Chinese herbal compound as complementary treatment for nonspecific low back pain: A randomized controlled trial.
Medicine (Baltimore)
November 2024
Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
Article Synopsis
- A randomized controlled trial was conducted to test the efficacy and safety of Bu Shen Tong Luo (BSTL) herbal compound for treating nonspecific low back pain (NSLBP) compared to celecoxib, a common medication.
- The study included 76 patients, divided into two groups, who received either BSTL or celecoxib for 3 weeks while their pain levels and functional abilities were measured using various scales.
- Results indicated both treatments were effective, with improvements in pain and function, but no significant differences between the two. However, BSTL showed better results in one specific syndrome type (HSBZ) compared to celecoxib.
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