Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion

Cardiovascular autonomic neuropathy: A silent killer with long reach

(2020) Lynn Ang et al.   AUTONOMIC NEUROSCIENCE-BASIC & CLINICAL

The severity of cardiovascular autonomic neuropathy is a predictor associated with major adverse cardiovascular events in patients with type 2 diabetes mellitus: A six-year follow-up study

(2020) Yun-Ru Lai et al.   Canadian Journal of Diabetes

Microvascular Complications in Type-2 Diabetes: A Review of Statistical Techniques and Machine Learning Models

(2020) Nitigya Sambyal et al.   WIRELESS PERSONAL COMMUNICATIONS

Baroreflex sensitivity with different lags and random forests for staging cardiovascular autonomic neuropathy in subjects with diabetes

(2020) Daiana Petry et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Diagnostic performance of resting and post-exercise heart rate variability for detecting cardiac autonomic neuropathy in type 2 diabetes mellitus

(2019) Pooja Bhati et al.   AUTONOMIC NEUROSCIENCE-BASIC & CLINICAL

AI-Skin: Skin disease recognition based on self-learning and wide data collection through a closed-loop framework

(2019) Min Chen et al.   Information Fusion

A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare

(2019) Md. Zia Uddin et al.   Information Fusion

Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction

(2018) Mohammad Mehedi Hassan et al.   Information Fusion

Automated detection of diabetic foot with and without neuropathy using double density-dual tree-complex wavelet transform on foot thermograms

(2018) Muhammad Adam et al.   INFRARED PHYSICS & TECHNOLOGY

Human Activity Recognition from Body Sensor Data using Deep Learning

(2018) Mohammad Mehedi Hassan et al.   JOURNAL OF MEDICAL SYSTEMS

iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

(2018) Long Hu et al.   Future Generation Computer Systems-The International Journal of eScience

Predicting Diabetes Mellitus With Machine Learning Techniques

(2018) Quan Zou et al.   Frontiers in Genetics

Human emotion recognition using deep belief network architecture

(2018) Mohammad Mehedi Hassan et al.   Information Fusion

Relationship between sensorimotor peripheral nerve function and indicators of cardiovascular autonomic function in older adults from the Health, Aging and Body Composition Study

(2017) Brittney S. Lange-Maia et al.   EXPERIMENTAL GERONTOLOGY

A machine learning-based framework to identify type 2 diabetes through electronic health records

(2017) Tao Zheng et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images

(2016) Shumoos Al-Fahdawi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy

(2013) Andrew Stranieri et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Highlights in clinical autonomic neuroscience: Latest developments in the early detection of diabetic autonomic neuropathy

(2012) William P. Cheshire et al.   AUTONOMIC NEUROSCIENCE-BASIC & CLINICAL

Detection of cardiovascular autonomic neuropathy using exercise testing in patients with type 2 diabetes mellitus

(2012) Smriti Banthia et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

Recommendations for the use of cardiovascular tests in diagnosing diabetic autonomic neuropathy☆

(2011) V. Spallone et al.   NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES