Supervised learning algorithms are a recent trend for the prediction of mechanical properties
of concrete. This paper presents AdaBoost, random forest (RF), and decision tree (DT) …

Data mining has the most important role in healthcare for discovering hidden relationships in
big datasets, especially in breast cancer diagnostics, which is the most popular cause of …

Breast cancer in women is a type of disease that is the main cause of death in women
according to world breast cancer data. Therefore, early detection of breasts is needed …

With the increasing interest devoted to dynamic environments, a crucial aspect is revealed in
context‐aware systems to deal with the rapid changes occurring in users' surrounding …

Breast cancer is most occurring leading cancer amongst women in the world after lung
cancer. The doctors are facing problems to prepare a medication treatment owing to a …

This review explores the Knowledge Discovery Database (KDD) approach, which supports
the bioinformatics domain to progress efficiently, and illustrate their relationship with data …

Breast cancer is the most incurable cancer and death rates growing with late-stage
identification; early detection is strongly recommended to lower death rates. Cancer is …

[ES] Esta tesis describe la investigación para obtener información sobre soluciones de
middleware y soluciones sensibles al contexto que amplían la perspectiva de entornos …

Background: Melanoma is one of the most commonly diagnosed cancers and the second
cause of cancer-related death among people. This disease is the rarest and most malignant …

Cancer is the world's second leading cause of death, summing up an estimated 10 million
deaths in 2020. Breast cancer is the fifth-highest death cause among all cancer types, being …