Results 71 to 80 of about 8,124,451 (335)

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

Cancer classification in high dimensional microarray gene expressions by feature selection using eagle prey optimization

Frontiers in Genetics
Microarray gene expression data have emerged as powerful tools in cancer classification and diagnosis. However, the high dimensionality of these datasets presents significant challenges for feature selection, leading to the development of various ...
Swetha Dhamercherla, Damodar Reddy Edla, Suresh Dara   +2 more
doaj   +1 more source

Multi-class Breast Cancer Classification Using CNN Features Hybridization

International Journal of Computational Intelligence Systems
Breast cancer has become the leading cause of cancer mortality among women worldwide. The timely diagnosis of such cancer is always in demand among researchers.
S. Chakravarthy, N. Bharanidharan, S. B. Khan, V. V. Kumar, T. R. Mahesh, Ahlam I. Almusharraf, Eid Albalawi   +6 more
semanticscholar   +1 more source

Advanced Approaches to Breast Cancer Classification and Diagnosis

Frontiers in Pharmacology, 2021
The International Agency for Research on Cancer (IARC) has recently reported a 66% increase in the global number of cancer deaths since 1960. In the US alone, about one in eight women is expected to develop invasive breast cancer(s) (breast cancer) at ...
M. Zubair, S. Wang, N. Ali
semanticscholar   +1 more source

Module-based breast cancer classification [PDF]

International Journal of Data Mining and Bioinformatics, 2013
The reliability and reproducibility of gene biomarkers for classification of cancer patients has been challenged due to measurement noise and biological heterogeneity among patients. In this paper, we propose a novel module-based feature selection framework, which integrates biological network information and gene expression data to identify biomarkers
Yuji, Zhang, Jianhua, Xuan, Robert, Clarke, Habtom W, Ressom   +3 more
openaire   +2 more sources

A Framework to Discover Emerging Patterns for Application in Microarray Data [PDF]

, 2003
Various supervised learning and gene selection methods have been used for cancer diagnosis. Most of these methods do not consider interactions between genes, although this might be interesting biologically and improve classification accuracy.
Boulesteix, Anne-Laure, Tutz, Gerhard
core   +3 more sources

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Breast Cancer Classification using XGBoost

World Journal of Advanced Research and Reviews
Breast cancer continues to be one of the foremost illnesses that results in the deaths of numerous women each year. Among the female population, approximately 8% are diagnosed with Breast cancer (BC), following Lung Cancer.
Ehsan Bazgir, Rahmanul Hoque, Suman Das, Mahmudul Hoque, Ehteshamul Haque   +4 more
semanticscholar   +1 more source

Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models

Applied Sciences, 2021
Skin cancer is a widespread disease associated with eight diagnostic classes. The diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the similarity of skin cancer classes in phenotype.
Nabeela Kausar, Abdul Hameed, Mohsin Sattar, Ramiza Ashraf, A. Imran, M. Z. Abidin, Ammara Ali   +6 more
semanticscholar   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source