A data-driven binary-classification framework for oil fingerprinting analysis

Y Chen, B Chen, X Song, Q Kang, X Ye… - Environmental Research, 2021 - Elsevier
A marine oil spill is one of the most challenging environmental issues, resulting in severe
long-term impacts on ecosystems and human society. Oil dispersants are widely applied as …

Feasibility study on data mining techniques in diagnosis of breast cancer

K Rajendran, M Jayabalan… - … Journal of Machine …, 2019 - researchonline.ljmu.ac.uk
© 2019 International Association of Computer Science and Information Technology.
Survivability of patients suffering from breast cancer varies according to the stages. The …

Adquisición de conocimiento sobre la letalidad de la COVID-19 mediante técnicas de inteligencia artificial

MMG Lorenzo, Y Rodríguez… - Anales de la …, 2020 - revistaccuba.sld.cu
Introducción. La difusión de la COVID-19 en el mundo ha provocado una avalancha de
investigaciones para enfrentarla y atenuar sus efectos, a lo cual han contribuido los …

Weka, áreas de aplicación y sus algoritmos: una revisión sistemática de literatura

MAE Mina - Revista Científica Ecociencia, 2018 - revistas.ecotec.edu.ec
Actualmente se generan grandes cantidades de datos almacenados en dispositivos
digitales que cada día, debido a los avances tecnológicos, crecen también en su capacidad …

Classification and determination of pH value: a decision tree learning approach

FB Chioson, FET Munsayac, RBG Luta… - 2018 IEEE 10th …, 2018 - ieeexplore.ieee.org
In chemistry, the potential of hydrogen (pH) level is the measure of the acidity or basicity
among substances. Generally, this level is determined through the use of a type of indicator …

Mitosis detection in breast cancer histopathology images using statistical, color and shape-based features

T Mahmood, S Ziauddin, AR Shahid… - Journal of Medical …, 2018 - ingentaconnect.com
This paper presents an automated technique for mitosis detection in breast cancer
histopathology images. Mitosis detection is the first step towards mitotic cell counting which …

Machine learning: a dark side of cancer computing

R Patgiri, S Nayak, T Akutota, B Paul - arxiv preprint arxiv:1903.07167, 2019 - arxiv.org
Cancer analysis and prediction is the utmost important research field for well-being of
humankind. The Cancer data are analyzed and predicted using machine learning …

A Survey of Machine Learning Techniques for Cancer Disease Prediction and Diagnosis.

MK Kumar - Indian Journal of Public Health Research & …, 2019 - search.ebscohost.com
Identification of patterns plays a vital role in Disease Diagnosis for detecting the diseases
accurately. Machine learning is a subfield of artificial intelligence (AI). This ML techniques …

Learning decision rules from incomplete biochemical risk factor indicators to predict cardiovascular risk level for adult patients

Y Heryadi, E Miranda… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
This study aims to learn decision rules from input dataset using decision tree learning as a
supervised classification method to predict cardiovascular risk level for adult patients (above …

Applications of Computational Intelligence in the Studies of Covid-19

R Bello, MM García, Y Caballero, A Rosete… - … Applied to Sustainable …, 2022 - Springer
Health is an extremely important aspect in the United Nations Sustainable Development
Goals because there is not possible progress for humankind without it. The Covid19 …