Competitive neural layer-based method to identify people with high risk for diabetic foot
ACBH Ferreira, DD Ferreira, HC Oliveira… - Computers in biology …, 2020 - Elsevier
Background and objective To automatically identify patients with diabetes mellitus (DM) who
have high risk of developing diabetic foot, via an unsupervised machine learning technique …
have high risk of developing diabetic foot, via an unsupervised machine learning technique …
Sistemas de apoio à decisão clínica em úlceras de pé diabético: revisão de escopo
Objective: Map the scientific evidence on the use of clinical decision support systems in
diabetic foot care. Method: A scoping review based on the JBI Manual for Evidence …
diabetic foot care. Method: A scoping review based on the JBI Manual for Evidence …
Diabetes correlated renal fault prediction through deep learning
INTRODUCTION: Diabetic nephropathy is one of the complications of diabetes that causes
damage to kidneys. Deep learning techniques are widely used to predict different diseases …
damage to kidneys. Deep learning techniques are widely used to predict different diseases …
Disease influence measure based diabetic prediction with medical data set using data mining
BV Baiju, DJ Aravindhar - 2019 1st international conference on …, 2019 - ieeexplore.ieee.org
The problem of diabetic prediction has been well studied in this paper. The disease
predictions have been explored using various methods of data mining. The use of medical …
predictions have been explored using various methods of data mining. The use of medical …
Clinical decision support systems for diabetic foot ulcers: a scoping review
Objective: Map the scientific evidence on the use of clinical decision support systems in
diabetic foot care. Method: A scoping review based on the JBI Manual for Evidence …
diabetic foot care. Method: A scoping review based on the JBI Manual for Evidence …
Diabetes risk prediction model of connected organs using retinal images
J Gokulraj, H Azath, D Geetha, M Ramkumar… - AIP Conference …, 2023 - pubs.aip.org
Medical services are the quickest developing space that expects to give the fitting therapy to
postpone the sickness movement. Medical services space comprises of the most significant …
postpone the sickness movement. Medical services space comprises of the most significant …
Prediction of Diabetic Diseases Using Data Analysis
TN Prabakar, B Shadaksharappa… - International journal of …, 2030 - neliti.com
Diabetes Mellitus is a most common metabolic disease globally. According to World health
organization diabetes is one of the leading causes of deaths in world, and with an estimate …
organization diabetes is one of the leading causes of deaths in world, and with an estimate …
Hereditary Factor‐Based Multi‐Featured Algorithm for Early DiabetesDetection Using Machine Learning
S Deepajothi, R Juliana, SK Aruna… - Artificial Intelligent …, 2022 - Wiley Online Library
Today's advent in the medical industry have given numerous chances to improve the quality
of detection and reporting the diseases at the early stages for a better diagnosis. Modern …
of detection and reporting the diseases at the early stages for a better diagnosis. Modern …
IDENTIFICATION OF COMORBID FACTOR OF DIABETES: RHEUMATOID JOIN INFLAMMATION USING DYNAMIC NEUTROSOPHIC INITIATIVE GUIDE WITH …
The immune system targets the thin membrane that lines the joints in rheumatoid arthritis. If
the disease is not addressed, this might result in joint deterioration. It also causes …
the disease is not addressed, this might result in joint deterioration. It also causes …
[PDF][PDF] Towards Analyzing the Prediction of Developing Cardiovascular Disease using Implementation of Machine Learning Techniques
G Angayarkanni, S Hemalatha - academia.edu
Machine Learning is an emerging technique widely penetrated into the prediction of
Cardiovascular Disease (CVD) events. Cardiovascular Disease is the leading global cause …
Cardiovascular Disease (CVD) events. Cardiovascular Disease is the leading global cause …