Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art

A Garavand, A Behmanesh, N Aslani… - … Journal of Intelligent …, 2023 - Wiley Online Library
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …

[HTML][HTML] Improving the prediction of survival in cancer patients by using machine learning techniques: experience of gene expression data: a narrative review

A Bashiri, M Ghazisaeedi, R Safdari… - Iranian journal of …, 2017 - ncbi.nlm.nih.gov
Background: Today, despite the many advances in early detection of diseases, cancer
patients have a poor prognosis and the survival rates in them are low. Recently, microarray …

Efficient model for coronary artery disease diagnosis: a comparative study of several machine learning algorithms

A Garavand, C Salehnasab… - Journal of …, 2022 - Wiley Online Library
Background. In today's industrialized world, coronary artery disease (CAD) is one of the
leading causes of death, and early detection and timely intervention can prevent many of its …

Management of covid-19 detection using artificial intelligence in 2020 pandemic

M Ghaderzadeh, M Aria - … of the 5th international conference on medical …, 2021 - dl.acm.org
Successful early detection of Covid-19 disease plays an important role in improving the
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …

Temporal Relationship-Aware Treadmill Exercise Test Analysis Network for Coronary Artery Disease Diagnosis

J Wei, B Pan, Y Gan, X Li, D Liu, B Sang, X Gao - Sensors, 2024 - mdpi.com
The treadmill exercise test (TET) serves as a non-invasive method for the diagnosis of
coronary artery disease (CAD). Despite its widespread use, TET reports are susceptible to …

[HTML][HTML] Better diagnosis of acute appendicitis by using artificial intelligence

MM Hosseini, R Safdari, L Shahmoradi… - Iranian South Medical …, 2017 - ismj.bpums.ac.ir
Background: Acute appendicitis is the most common cause for the referral of patients with
abdominal pains to the emergency department of hospitals and appendectomy is the most …

Use of artificial intelligence and neural network algorithms to predict arterial blood gas items in trauma victims

M Shayan, M Sabouri, L Shayan, S Paydar - medRxiv, 2020 - medrxiv.org
Background Trauma is the third leading cause of death in the world and the first cause of
death among people younger than 44 years. In traumatic patients, especially those who are …

[PDF][PDF] Designing an artificial neural network for prediction of pregnancy outcomes in women with systemic lupus erythematosus in Iran

M Akbarian, K Paydar, SRN Kalhori… - Tehran University …, 2015 - core.ac.uk
Designing an artificial neural network for prediction of pregnancy outcomes in women with
systemic lupus erythematosus in Iran Page 1 See discussions, stats, and author profiles for this …

[PDF][PDF] Research Article Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms

A Garavand, C Salehnasab, A Behmanesh, N Aslani… - 2022 - academia.edu
Background. In today's industrialized world, coronary artery disease (CAD) is one of the
leading causes of death, and early detection and timely intervention can prevent many of its …

Investigating the Application of Soft Computing in Skin Cancer Diagnosis

A Rafat - powertechjournal.com
Skin cancer is one of the foremost important causes of passing within the world. Skin cancer
is one of the cancers. In expansion to being unsafe, it can moreover influence a person's self …