Results 121 to 130 of about 30,970,765 (331)

A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. [PDF]

المجلة العراقية للعلوم الاحصائية
The K-means clustering algorithms (Random, K-means++, Canopy, and Farthest First) are unsupervised machine learning techniques designed to group data points based on their similarities. The study examined the effects of clustering algorithms and distance
Bakhshan Hamad
doaj   +1 more source

Parents of Youth With Cancer Report on Their Psychosocial Care: iSTEPPP Survey Finds Alignment and Gaps With Standards

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau, Kimberly Buff, Michele A. Scialla, Kimberly S. Canter, Lori Wiener, Victoria Sardi‐Brown, Julia B. Tager, Kamyar Arasteh, Anne E. Kazak   +8 more
wiley   +1 more source

K-means cluster analysis.

, 2018
K-means clustering of differentially expressed genes changing over time (DEGots) from E6.5 to E17.5. The 5405 DEGots are clustered by K-means algorithm. n: number of genes in each cluster.
Joris A. van der Post (5775086), Gijs Afink (535618), Carrie Ris-Stalpers (433356), Souad Boussata (5775083), Aldo Jongejan (793996), Febilla Fernando (3501119)   +5 more
core   +1 more source

Comparison of K-Means and K-Medoids Clustering Algorithms for Mapping the Spread of Tuberculosis Disease in Central Java Province

UJM (Unnes Journal of Mathematics)
Along with the development of information technology, data analysis plays an important role in various fields, including in the health sector. This study aims to map the spread of Tuberculosis (TB) in Central Java Province using two non-hierarchical ...
Fitria Mahmudah
doaj   +1 more source

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko, Segev Gabay, Jonathan Roth, Amit Ringel, Rina Dvir, Shlomi Constantini   +5 more
wiley   +1 more source

K-means distribution map.

, 2016
Map of the distribution of materials and their classification according to the k-means method.
Alfonso Benito-Calvo (559798), Laura Sánchez-Romero (3597266), Alfredo Pérez-González (493352), Manuel Santonja (304484)   +3 more
core   +1 more source

Exercise Capacity, Physical Activity, Fatigue, and Neurocognitive Function in Adult Survivors of Childhood Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess, Gustaf Glavå, Simon Skau, Hans‐Georg Kuhn, Maria Bäck, Marianne Jarfelt   +5 more
wiley   +1 more source

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu, Nicole Fernández‐Viña, Briana C. Martin‐Villa, Daniela Ramirez, Rebecca M. Lewinsohn, Mary Smith, Heidi Boynton, Lidia Schapira, Stephanie M. Smith   +8 more
wiley   +1 more source

A Feature-Reduction Multi-View k-Means Clustering Algorithm

IEEE Access, 2019
The k-means clustering algorithm is the oldest and most known method in cluster analysis. It has been widely studied with various extensions and applied in a variety of substantive areas.
Miin-Shen Yang, Kristina P. Sinaga
doaj   +1 more source

Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham, Teyl Engstrom, Peter Baade, Natalie Bradford, Sarah Pont, Louise Marquart‐Wilson, Natasha Nassar, Jason D. Pole   +7 more
wiley   +1 more source