Nature-inspired techniques in the context of fraud detection

M Behdad, L Barone, M Bennamoun… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Electronic fraud is highly lucrative, with estimates suggesting these crimes to be worth
millions of dollars annually. Because of its complex nature, electronic fraud detection is …

[PDF][PDF] Artificial neural networks in medical diagnosis

QK Al-Shayea - International Journal of Computer Science Issues, 2011 - Citeseer
Artificial neural networks are finding many uses in the medical diagnosis application. The
goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are …

A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology

H Salem, D Soria, JN Lund, A Awwad - BMC Medical Informatics and …, 2021 - Springer
Background Testing a hypothesis for 'factors-outcome effect'is a common quest, but standard
statistical regression analysis tools are rendered ineffective by data contaminated with too …

Predicting seminal quality with artificial intelligence methods

D Gil, JL Girela, J De Juan, MJ Gomez-Torres… - Expert Systems with …, 2012 - Elsevier
Fertility rates have dramatically decreased in the last two decades, especially in men. It has
been described that environmental factors, as well as life habits, may affect semen quality …

Analysis of heart diseases dataset using neural network approach

KU Rani - arxiv preprint arxiv:1110.2626, 2011 - arxiv.org
One of the important techniques of Data mining is Classification. Many real world problems
in various fields such as business, science, industry and medicine can be solved by using …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y Miyagi, K Takehara, T Miyake - … and clinical oncology, 2019 - spandidos-publications.com
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types

Y Miyagi, K Takehara, Y Nagayasu… - Oncology …, 2020 - spandidos-publications.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …

Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age

Y Miyagi, T Habara, R Hirata… - … medicine and biology, 2019 - Wiley Online Library
Purpose To identify artificial intelligence (AI) classifiers in images of blastocysts to predict the
probability of achieving a live birth in patients classified by age. Results are compared to …

Validation of artificial neural network models for predicting biochemical markers associated with male infertility

AS Vickram, AR Kamini, R Das, MR Pathy… - Systems biology in …, 2016 - Taylor & Francis
Seminal fluid is the secretion from many glands comprised of several organic and inorganic
compounds including free amino acids, proteins, fructose, glucosidase, zinc, and other …

Semen parameters can be predicted from environmental factors and lifestyle using artificial intelligence methods

JL Girela, D Gil, M Johnsson… - Biology of …, 2013 - academic.oup.com
Fertility rates have dramatically decreased in the last two decades, especially in men. It has
been described that environmental factors as well as life habits may affect semen quality. In …