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Diagnosis of gastric cancer using machine learning techniques in healthcare sector: a survey
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 …
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
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 …
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
Timing and precision are two primary keys for myocardial infarction diagnosis. Even minor
errors in diagnosis can dramatically increase the treatment process, increase treatment …
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 …
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
This study delves into the ethical implications of integrating machine learning into open and
distance learning (ODL) institutions. It scrutinizes ethical principles like fairness …
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 …
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 …
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
This research addresses the challenge of identifying relevant research topics for
Government Science and Technology (GRB) projects. Traditional methods for identifying …
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 …
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 …
of the data, the stakeholders, the societal effects, and ethical challenges differ. Despite the …