Microwave-based detection of the bladder state as a support tool for urinary incontinence [Bioelectromagnetics]
E Porter, A Raterink… - IEEE Antennas and …, 2022 - ieeexplore.ieee.org
Microwave medical technologies have great potential to support health and wellness
monitoring and the detection, diagnosis, and tracking of disease. Microwave approaches are …
monitoring and the detection, diagnosis, and tracking of disease. Microwave approaches are …
Proof-of-concept of microwave-based bladder state detection using realistic pelvic models
A Farshkaran, A Fry, A Raterink… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Goal: Urinary incontinence (UI) affects a significant proportion of the population and is
associated with negative physical and psychological side-effects. Microwave-based …
associated with negative physical and psychological side-effects. Microwave-based …
Design a linear classification model with support vector machine algorithm on autoimmune disease data
AB Mahammad, R Kumar - 2022 3rd International Conference …, 2022 - ieeexplore.ieee.org
Machine Learning algorithms are profusely demonstrated in innumerable medical
applications for prediction, diagnosis, and recommendations to treat patients in surgical and …
applications for prediction, diagnosis, and recommendations to treat patients in surgical and …
Performance comparison of classification algorithms for diagnosing chronic kidney disease
JD De Guia, RS Concepcion… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
chronic kidney disease (CKD) is one of the diseases with high mortality rate. It is a disease
resulted from kidney function loss over a long period of time. The disease shows no …
resulted from kidney function loss over a long period of time. The disease shows no …
Deep convolutional neural network for chronic kidney disease prediction using ultrasound imaging
S Patil, S Choudhary - Bio-Algorithms and Med-Systems, 2021 - degruyter.com
Objectives Chronic kidney disease (CKD) is a common disease and it is related to a higher
risk of cardiovascular disease and end-stage renal disease that can be prevented by the …
risk of cardiovascular disease and end-stage renal disease that can be prevented by the …
Microwave reflection-based bladder state discrimination with realistic pelvic models: Impact of urine conductivity and volume
A Raterink, A Farshkaran… - 2021 IEEE MTT-S …, 2021 - ieeexplore.ieee.org
Microwave imaging could provide a low-cost, easy, and non-invasive method of detecting
the state of the human bladder. However, current work on bladder detection uses relatively …
the state of the human bladder. However, current work on bladder detection uses relatively …
Hybrid classification framework for chronic kidney disease prediction model
S Patil, S Choudhary - The Imaging Science Journal, 2024 - Taylor & Francis
ABSTRACT 'Chronic kidney disease (CKD)–or chronic renal failure (CRF) is a term that
encompasses all degrees of decreased kidney function, from damaged–at risk through mild …
encompasses all degrees of decreased kidney function, from damaged–at risk through mild …
Microwave Characterization and Assessment of the Dielectric Properties of Normal Human Urine
A Farshkaran, A Fry, E Porter - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The focus of this work is to study the dielectric properties of normal human urine as a
foundation for future research, development, and effective clinical translation of microwave …
foundation for future research, development, and effective clinical translation of microwave …
Electrical detection of blood cells in urine
Available methods for detecting blood in the urine (hematuria) can be problematic since
results can be influenced by many factors in patients and in the lab settings, resulting in false …
results can be influenced by many factors in patients and in the lab settings, resulting in false …
A survey on data mining and machine learning techniques for diagnosing hepatitis disease
With the advancement of technology in recent years, different new techniques are being
used for classification and prediction of different complex diseases, as well as to analyse …
used for classification and prediction of different complex diseases, as well as to analyse …