Results 131 to 140 of about 30,970,765 (331)

A Improving House Price Clustering Results with K-means through the Implementation of One-hot Encoding Pre-processing Technique

Journal of Applied Informatics and Computing
Basic human needs include a house that serves as a place to live and a shelter from everything. In Indonesia, owning a house is still a challenging aspect due to its high price.
Vicka Rizqi Maulani, Mula Agung Barata, Pelangi Eka Yuwita   +2 more
doaj   +1 more source

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means

, 2014
Most epileptic EEG classification algorithms are supervised and require large training datasets, that hinder their use in real time applications. This chapter proposes an unsupervised Multi-Scale K-means (MSK-means) algorithm to distinguish epileptic EEG
Zhu, Guohun, Guohun Zhu, Li, Yan, Shuaifang Wang, Wang, Shuaifang, Peng Wen, Wen, Peng (Paul), Yan Li   +7 more
core   +1 more source

Bone and Soft Tissue Neoplasms in Infants Versus Older Children: A Report From the Cancer in Young People in Canada Program

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine, Hallie Coltin, Maria Kondyli, Monia Marzouki, Nicolas Prud'homme, Nida Usmani, Rebecca J. Deyell, Lesleigh Abbott, Tony H. Truong, Sapna Oberoi, Ketan Kulkarni, Josée Brossard, Lynette Bowes, Paul Gibson, Sarah McKillop, Roona Sinha, Lillian Sung, Catherine Vezina, Laura Wheaton, Alexandra P. Zorzi, Marie‐Claude Pelland‐Marcotte, Thai Hoa Tran   +21 more
wiley   +1 more source

RACK: RApid Clustering using K-means algorithm

, 2009
The k-means algorithm is an extremely popular technique for clustering data. One of the major limitations of the k-means is that the time to cluster a given dataset D is linear in the number of clusters, k.
Murty, MN, Garg, Vikas K
core  

K-means clusters over PCA components for LRFMV model.

, 2022
K-means clusters over PCA components for LRFMV model.
Rezwana Mahfuza (14285061), Nafisa Islam (1834474), Md Asaduzzaman Faisal Emon (14285067), Md. Toyeb (14285064), Shahnur Azad Chowdhury (14285070), Md. Golam Rabiul Alam (14285073)   +5 more
core   +1 more source

Impact of Initial Treatment Setting on Survival in Relapsed Pediatric and AYA Bone Sarcomas: A Secondary Analysis of a Prospective Clinical Trial

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak, Katarzyna Bilska, Tomasz Koziński, Jadwiga Węcławek‐Tompol, Dorota Sega‐Pondel, Radosław Chaber, Wanda Badowska, Katarzyna Rosłan, Hanna Koseła‐Paterczyk, Anna Raciborska   +9 more
wiley   +1 more source

Implementation of K-means Clustering Algorithm using Java [PDF]

, 2011
Emergence of modern techniques for scientific data collection has resulted in large scale accumulation of data pertaining to diverse fields. Conventional database querying methods are inadequate to extract useful information from huge data analysis ...
Prof. S.China Venkateswarlu, Prof. M.Arya Bhanu, Prof.Yudhaveer Katta   +2 more
core  

Color image segmentation using a spatial k-means clustering algorithm [PDF]

, 2006
This paper details the implementation of a new adaptive technique for color-texture segmentation that is a generalization of the standard K-Means algorithm. The standard K-Means algorithm produces accurate segmentation results only when applied to images
Ilea, Dana E., Whelan, Paul F.
core   +2 more sources

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques, Mariana dos Santos Murra, Welinton Hirai, Ana Laura Balduino do Nascimento, Karla Emilia de Sá Rodrigues, Wilson Elias de Oliveira Junior   +5 more
wiley   +1 more source