Results 31 to 40 of about 703,161 (279)

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

Dual-Regularized Feature Selection for Class-Specific and Global Feature Associations

Entropy
Understanding feature associations is vital for selecting the most informative features. Existing methods primarily focus on global feature associations, which capture overall relationships across all samples.
Chenchen Wang, Jun Wang, Yanfei Li, Chengkai Piao, Jinmao Wei   +4 more
doaj   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale, Alessandro Crocoli, Giuseppe Maria Milano, Pierluigi Di Paolo, Francesca Diomedi Camassei, Ida Russo, Annalisa Serra   +6 more
wiley   +1 more source

Hybrid Feature Selection Method for Tumor Gene Based on Spark [PDF]

Jisuanji gongcheng, 2018
In order to deal with the tumor gene data which grows rapidly with the development of microarray technology,and achieve the feature selection of tumor gene data,combined with integrated feature selection and mixed feature selection,a hybrid feature ...
WANG Lili,DENG Li,YU Yue,FEI Minrui
doaj   +1 more source

A Feature Selection Algorithm Performance Metric for Comparative Analysis

Algorithms, 2021
This study presents a novel performance metric for feature selection algorithms that is unbiased and can be used for comparative analysis across feature selection problems.
Werner Mostert, Katherine M. Malan, Andries P. Engelbrecht   +2 more
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Hybrid feature selection based ScC and forward selection methods [PDF]

International Journal of Data and Network Science
Operational data is always huge. A preprocessing step is needed to prepare such data for the analytical process so the process will be fast. One way is by choosing the most effective features and removing the others. Feature selection algorithms
Luai Al-Shalabi
doaj   +1 more source

Optimal Feature Aggregation and Combination for Two-Dimensional Ensemble Feature Selection

Information, 2020
Feature selection is a way of reducing the features of data such that, when the classification algorithm runs, it produces better accuracy. In general, conventional feature selection is quite unstable when faced with changing data characteristics.
Machmud Roby Alhamidi, Wisnu Jatmiko
doaj   +1 more source

Special Issue “Algorithms for Feature Selection”

Algorithms, 2023
This Special Issue of the open access journal Algorithms is dedicated to showcasing cutting-edge research in algorithms for feature selection [...]
Muhammad Adnan Khan
doaj   +1 more source