Diagnosis of urinary tract infection based on artificial intelligence methods

IA Ozkan, M Koklu, IU Sert - Computer methods and programs in …, 2018 - Elsevier
Abstract Background and Objective Urinary tract infection (UTI) is a common disease
affecting the vast majority of people. UTI involves a simple infection caused by urinary tract …

Urinary tract infections: a review of the current diagnostics landscape

B Grey, M Upton, LT Joshi - Journal of Medical …, 2023 - microbiologyresearch.org
Urinary tract infections are the most common bacterial infections worldwide. Infections can
range from mild, recurrent (rUTI) to complicated (cUTIs), and are predominantly caused by …

Prediction of team league's rankings in volleyball by artificial neural network method

AE Tümer, S Koçer - … Journal of Performance Analysis in Sport, 2017 - Taylor & Francis
In this study, an Artificial Neural Network (ANN) model that can predict future team rankings
in male volleyball professional league was developed. Data used to develop the ANN model …

A Fact‐Finding Procedure Integrating Machine Learning and AHP Technique to Predict Delayed Diagnosis of Bladder Patients with Hematuria

CL Lo, YH Yang, HT Tseng - Journal of Healthcare …, 2021 - Wiley Online Library
Bladder cancer, the ninth most common cancer worldwide, requires fast diagnosis and
treatment to prevent disease progression and improve patient survival. However, patients …

Correlation between drinking water fluoride and TSH hormone by ANNs and ANFIS

Z Kheradpisheh, AH Mahvi, M Mirzaei… - … of Environmental Health …, 2018 - Springer
Abstract Background Artificial neural networks (ANNs) and adaptive neural-fuzzy Inference
system (ANFIS) are the best solutions to finding the correlation between some water …

Utilizing Artificial Neural Networks and Multivariate Patient Data for Anemia Detection using WEKA based Approach for Diagnosis

N Bhargava, PS Rathore, P Vaishnav… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
This research study describes a method that uses neural networks to figure out if a woman
has anemia. An artificial neural network is a type of computer network that is based on the …

[PDF][PDF] Comparative Review Of Artificial Neural Network Machine Learning For Diagnosing Aneamia in Pregnant Ladies

N Sharma, V Khullar - i-Manager's Journal on Information …, 2016 - imanagerpublications.com
Nowadays, it becomes more elusive for doctors to deal with diseases due to lack of proper
specialists. Surveys conducted by reputed institutions revealed that Anemia is the most …

[PDF][PDF] An Intelligent System based on Back-propagation Neural Network and Particle Swarm optimization Based Neural Network for Diagnosing Anemia in Pregnant …

N Sharma, V Khullar, A Luhach - i-Manager's Journal on …, 2017 - imanagerpublications.com
According to WHO According to World Health Organization (WHO) survey, anemia is one of
the most commonly encountered medical deficiencies during pregnancy [5]. BP network has …

[PDF][PDF] A fuzzy-genetic approach for microcytic anemia diagnosis in cyber medical systems

F Latifi, H Zarrabi - J. Biomed. Eng. Technol, 2017 - academia.edu
Microcytic anemia is the most common type of anemia in the different age groups of people.
Diagnosis in the early stages could increase the chance of the treatment. Fuzzy Expert …

[PDF][PDF] Research Article A Fact-Finding Procedure Integrating Machine Learning and AHP Technique to Predict Delayed Diagnosis of Bladder Patients with Hematuria

CL Lo, YH Yang, HT Tseng - 2021 - academia.edu
Bladder cancer, the ninth most common cancer worldwide, requires fast diagnosis and
treatment to prevent disease progression and improve patient survival. However, patients …