Results 91 to 100 of about 15,852,135 (305)

K-means algorithm

, 2020
Using K-means algorithm for clustering local regulation in all java region in Indonesia.
Achmad Thoriq, Luh Putu Gayatri Wirastuti, Deanda Bevani Aletha (8517924), nuraini rakhmawati (8517915), Achmad Thoriq (8517918), Deanda Bevani Aletha, Alexander Sidum Laka Kaki (8517927), nuraini rakhmawati, Luh Putu Gayatri Wirastuti (8517921), Alexander Sidum Laka Kaki   +9 more
core   +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- ja k-means++-algoritmien teoreettinen tarkastelu [PDF]

, 2020
Tutkielmassa tarkastellaan teoreettisesta näkökulmasta katsottuna kahta koneoppimisialgoritmia; k-means- ja k-means++. Tarkasteltavat menetelmät ovat klusterointialgoritmejä.
Peltonen, Anni
core  

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 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

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

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

“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

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

Turbid of Water By Using Fuzzy C- Means and Hard K- Means

مجلة بغداد للعلوم, 2020
In this research two algorithms are applied, the first is Fuzzy C Means (FCM) algorithm and the second is hard K means (HKM) algorithm to know which of them is better than the others these two algorithms are applied on a set of data collected  from the ...
Rand Muhaned Fawzi, Iden Hassan Alkanani
doaj   +1 more source