Diagnosis of gastric cancer using machine learning techniques in healthcare sector: a survey

D Jamil, S Palaniappan, A Lokman, M Naseem, SS Zia - Informatica, 2022 - informatica.si
Many researchers are trying hard to minimize the incidence of cancers, especially GC. For
GC, the five-year survival rate is generally 5–25%, but for EGC it can be reduced by up to …

A robust optimization model for multi-objective blood supply chain network considering scenario analysis under uncertainty: a multi-objective approach

SK Fariman, K Danesh, M Pourtalebiyan, Z Fakhri… - Scientific Reports, 2024 - nature.com
Annually, different regions of the world are affected by natural disasters such as floods and
earthquakes, resulting in significant loss of lives and financial resources. These events …

[HTML][HTML] A hybrid decision support system for heart failure diagnosis using neural networks and statistical process control

SJ Khiabani, A Batani, E Khanmohammadi - Healthcare Analytics, 2022 - Elsevier
Timing and precision are two primary keys for myocardial infarction diagnosis. Even minor
errors in diagnosis can dramatically increase the treatment process, increase treatment …

An expert system for diagnosing and treating heart disease

B Fernandino, MS Bisheh - arxiv preprint arxiv:2402.14128, 2024 - arxiv.org
Timely detection of illnesses is vital to prevent severe infections and ensure effective
treatment, as it's always better to prevent diseases than to cure them. Sadly, many patients …

[PDF][PDF] Analysing Ethical Principles for Machine Learning (ML) Techniques within the Open and Distance Learning (ODL) Institution

JA Ukaigwe, CU Ezeanya - African Journal of Science …, 2024 - researchgate.net
This study delves into the ethical implications of integrating machine learning into open and
distance learning (ODL) institutions. It scrutinizes ethical principles like fairness …

[HTML][HTML] Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression

A Esmaeili, A Karamoozian… - Journal of Research in …, 2024 - pmc.ncbi.nlm.nih.gov
Background: Breast cancer (BC) is the most common cancer in women, and it is important to
identify models that can accurately predict mortality in patients with this cancer. The aim of …

Multi-objective robust planning approach to the problem of locating the allocation of organ transplant centres under conditions of uncertainty

MYN Attari, Z Khalilpourshiraz… - … Journal of Value …, 2024 - inderscienceonline.com
This study highlights the crucial role of organ transplantation in healthcare, underscoring its
vulnerability to corruption and the importance of timely processes and strategic selection of …

Exploring the Potential of Hybrid Feature-Based Research Topic Generation for Government Science and Technology Projects

V Sajjan, JP Kumar, BK Kumar… - … Conference on IoT …, 2024 - ieeexplore.ieee.org
This research addresses the challenge of identifying relevant research topics for
Government Science and Technology (GRB) projects. Traditional methods for identifying …

CLUSTERING DENGAN ALGORITMA K-MEANS UNTUK MENINGKATKAN PENJUALAN PADA PT PULAU BINTANG EMAS BATAM

PAA Putri, SA Arnomo - Computer and Science Industrial …, 2024 - forum.upbatam.ac.id
This study was conducted to study K-Means Clustering in knowledge retrieval. The purpose
of this study is to obtain the results of the analysis of the application of clustering with the K …

[PDF][PDF] A Comparative Evaluation of Ethical Considerations in Data Mining Across Healthcare, Education, and Government Sectors: Promoting Responsible and …

JA Ukaigwe - ajstme.com.ng
In many industries, data mining is used to glean insights from big datasets. Due to the nature
of the data, the stakeholders, the societal effects, and ethical challenges differ. Despite the …