Results 21 to 30 of about 249,819 (266)
CONVOLUTIONAL NEURAL NETWORK MODELS FOR CANCER TREATMENT RESPONSE PREDICTION [PDF]
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
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
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
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
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
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
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
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
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
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

