Results 21 to 30 of about 249,819 (266)

CONVOLUTIONAL NEURAL NETWORK MODELS FOR CANCER TREATMENT RESPONSE PREDICTION [PDF]

open access: yesInternational Journal of Intelligent Computing and Information Sciences, 2023
Recently, efforts are exerted on cancer treatment prediction based on the biomarkers related to the tumor. Gene expression and mutation profiles are the most used biomarkers for cancer prediction.
Hanan Ahmed   +3 more
doaj   +1 more source

A water quality dataset of levels of metal, nutrient and anions in sample water points from sixteen selected urban and rural districts of Uganda

open access: yesData in Brief, 2023
This dataset highlights some of the water quality issues in Uganda. The rationale for collecting the water samples was to test and ascertain the level and source of contamination. A total of one hundred and eighty five samples were collected from sixteen
Hasifah Kasujja Namatovu   +2 more
doaj   +1 more source

Ontology boosted deep learning for disease name extraction from Twitter messages

open access: yesJournal of Big Data, 2018
This paper presents an ontology based deep learning approach for extracting disease names from Twitter messages. The approach relies on simple features obtained via conceptual representations of messages to obtain results that out-perform those from word
Mark Abraham Magumba   +2 more
doaj   +1 more source

Exploring PM2.5 variations from calibrated low-cost sensor network in Greater Kampala, during COVID-19 imposed lockdown restrictions: Lessons for Policy

open access: yesClean Air Journal, 2022
Air pollution is considered a major public health risk globally, and the global South including sub-Saharan Africa face particular health risks, but there is limited data to quantify the level of pollution for different air quality contexts.
Paul Green   +4 more
doaj   +1 more source

Explainable Spatiotemporal Ensemble Modeling Using Knowledge Distillation to Forecast Food Security

open access: yesIEEE Access
Accurate prediction of food security is crucial for managing climate-induced agricultural hazards, but current approaches struggle to include spatiotemporal complexity while producing interpretable and understandable results. This study fills this gap by
Ronald Atuhaire   +6 more
doaj   +1 more source

Chasing Puppies

open access: yesJournal of Computational Geometry, 2022
We solve an open problem posed by Michael Biro at CCCG 2013 that was inspired by his and others' work on beacon-based routing. Consider a human and a puppy on a simple closed curve in the plane.
Mikkel Abrahamsen   +7 more
doaj   +1 more source

Affecting factors of cloud computing adoption in public hospitals affiliated with Zahedan University of Medical Sciences: A cross-sectional study in the Southeast of Iran

open access: yesDigital Health, 2021
Objective Health care organizations require cloud computing to remain efficient and cost-effective, and provide high-quality health care services. Adoption of this technology by users plays a critical role in the success of its application.
Jahanpour Alipour   +3 more
doaj   +1 more source

Graph Theoretic and Pearson Correlation-Based Discovery of Network Biomarkers for Cancer

open access: yesData, 2019
Two graph theoretic concepts—clique and bipartite graphs—are explored to identify the network biomarkers for cancer at the gene network level.
Raihanul Bari Tanvir   +4 more
doaj   +1 more source

Performance of Graph and Relational Databases in Complex Queries

open access: yesApplied Sciences, 2022
In developing NoSQL databases, a major motivation is to achieve better efficient query performance compared with relational databases. The graph database is a NoSQL paradigm where navigation is based on links instead of joining tables.
Petri Kotiranta   +2 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

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