Results 41 to 50 of about 1,429,531 (305)

Oppositional Cuckoo Search Optimization based Clustering with Classification Model for Big Data Analytics in Healthcare Environment

Journal of Applied Science and Engineering, 2022
Big data in healthcare defines a massive quantity of healthcare data accumulated from massive sources like electronic health records (EHR), medical imaging, genomic sequence, pharmacological research, wearable, medical gadgets, etc.
T. Gayathri, D. Lalitha Bhaskari
doaj   +1 more source

A Benchmark Suite for Clustering Algorithms

, 2022
A Framework for Benchmarking Clustering Algorithms Benchmark Suite Version 1.0.1 How to Cite: Please cite the following paper which describes the overall benchmarking methodology: Gagolewski M., A Framework for Benchmarking Clustering Algorithms, 2022,
Gagolewski, Marek
core   +1 more source

Venetoclax‐Based Therapy as a Bridge to Hematopoietic Stem Cell Transplantation in Relapsed or Refractory Pediatric Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Relapsed and/or refractory (R/R) pediatric acute leukemia carries a dismal prognosis, largely driven by chemoresistance to conventional salvage therapy. The BH3‐mimetic venetoclax, combined with chemotherapy or hypomethylating agents, has demonstrated efficacy in small clinical trials.
Katherine S. Colman, Deborah Meyran, Vajiranee Malalasekera, Heather Weerdenburg, Janine Campbell, Rachel Conyers, Stacie Wang, Hannah Walker, Seong Lin Khaw, Diane Hanna   +9 more
wiley   +1 more source

cognitivefactory-interactive-clustering

, 2021
Release 0.1.3 of cognitivefactory/interactive-clustering package. GitHub repository : https://github.com/cognitivefactory/interactive-clustering/ Main documentation : https://cognitivefactory.github.io/interactive-clustering/ Pypi distribution ...
Schild, Erwan
core   +2 more sources

On clustering with discounts

Information Processing Letters, 2022
We study the $k$-median with discounts problem, wherein we are given clients with non-negative discounts and seek to open at most $k$ facilities. The goal is to minimize the sum of distances from each client to its nearest open facility which is discounted by its own discount value, with minimum contribution being zero.
openaire   +2 more sources

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

High-Resolution Lightning Detection and Possible Relationship with Rainfall Events over the Central Mediterranean Area

Remote Sensing, 2019
Lightning activity is usually associated with precipitations events and represents a possible indicator of climate change, even contributing to its increase with the production of NOx gases.
Guido Paliaga, Carlo Donadio, Marina Bernardi, Francesco Faccini   +3 more
doaj   +1 more source

Energy-efficient clustering protocol for underwater wireless sensor networks using optimized glowworm swarm optimization

Frontiers in Marine Science, 2023
In the past few decades, cutting-edge information and communication technology has been used in several ways to keep an eye on the marine environment. Underwater wireless sensor networks (UWSNs) can measure the amount of water and soil conditions, such ...
Salil Bharany, Sandeep Sharma, Naif Alsharabi, Naif Alsharabi, Elsayed Tag Eldin, Nivin A. Ghamry   +5 more
doaj   +1 more source

Spherical k-Means Clustering [PDF]

, 2012
Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency.
Kurt Hornik, Martin Kober, Buchta, Christian, Christian Buchta, Hornik, Kurt, Feinerer, Ingo, Ingo Feinerer, Kober, Martin   +7 more
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source