Results 71 to 80 of about 1,288,237 (252)

Childhood Acute Lymphoblastic Leukemia Survival in Western Kenya: Reduction in Early Deaths and Treatment Abandonment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara, George Bogonko, Festus Njuguna, Sandra Langat, Martha Kipngetich, Dennis Njenga, Gertjan Johannes Kaspers, Terry Allen Vik   +7 more
wiley   +1 more source

Three local search-based methods for feature selection in credit scoring

Vietnam Journal of Computer Science, 2018
Credit scoring is a crucial problem in both finance and banking. In this paper, we tackle credit scoring as a classification problem where three local search-based methods are studied for feature selection.
Dalila Boughaci, Abdullah Ash-shuayree Alkhawaldeh   +1 more
doaj   +1 more source

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya, Selena Murcia Mendez, Jennifer Kellett, Sarah Wright, Marisel Ponton, Robin T. Higashi, Rahela Aziz‐Bose, Colleen A. Kelly, Ayesha Zia, Joanne Wolfe, Sandi L. Pruitt, Kira Bona   +11 more
wiley   +1 more source

Misperception of Body Weight After Childhood Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle, Tomáš Sláma, Eva Haegler‐Laube, Reto D. Kurmann, Gabriela M. Kuster, Christoph Saner, Eva Scheler, Yara Shoman, Christina Schindera   +8 more
wiley   +1 more source

Tracking Health Related Quality of Life From Diagnosis to Follow‐Up Among Australian Children With Acute Lymphoblastic Leukaemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows, Clarissa E. Schilstra, Karen McCleary, Nancy E. Briggs, Rishi S. Kotecha, Richard De Abreu Lourenco, Shanti Ramachandran, Ruelleyn Cockcroft, Rachel Conyers, Siobhan Cross, Luciano Dalla‐Pozza, Peter Downie, Tamas Revesz, Michael Osborn, Frank Alvaro, Claire E. Wakefield, Glenn M. Marshall, Toby Trahair, Marion K. Mateos, Joanna E. Fardell   +19 more
wiley   +1 more source

Variable Selection in Time Series Forecasting Using Random Forests

Algorithms, 2017
Time series forecasting using machine learning algorithms has gained popularity recently. Random forest is a machine learning algorithm implemented in time series forecasting; however, most of its forecasting properties have remained unexplored.
Hristos Tyralis, Georgia Papacharalampous   +1 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Bayesian Model Averaging and Regularized Regression as Methods for Data-Driven Model Exploration, with Practical Considerations

Stats
Methodological experts suggest that psychological and educational researchers should employ appropriate methods for data-driven model exploration, such as Bayesian Model Averaging and regularized regression, instead of conventional hypothesis-driven ...
Hyemin Han
doaj   +1 more source

Comparison of four variable selection methods to determine the important variables in predicting the prognosis of traumatic brain injury patients by support vector machine

Journal of Research in Medical Sciences, 2019
Background: Large amounts of information have called for increased computational complexity. Data dimension reduction is therefore critical to preliminary analysis.
Saeedeh Pourahmad, Soheila Rasouli-Emadi, Fatemeh Moayyedi, Hosseinali Khalili   +3 more
doaj   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source