Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms
Anemia is one of the global public health problems that affect children and pregnant women. Anemia occurs when the level of red blood cells within the body decreases or when the structure of the red blood cell... (Source: BioData Mining)
Source: BioData Mining - January 24, 2023 Category: Bioinformatics Authors: Peter Appiahene, Justice Williams Asare, Emmanuel Timmy Donkoh, Giovanni Dimauro and Rosalia Maglietta Tags: Research Source Type: research
Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR
Urban parks constitute one of the main leisure areas, especially for the most vulnerable people in our society, children, and the elderly. Contact with soils can pose a health risk. Microbiological testing is ... (Source: BioData Mining)
Source: BioData Mining - January 14, 2023 Category: Bioinformatics Authors: Diego Arnal, Celeste Moya, Luigi Filippelli, Jaume Segura-Garcia and Sergi Maicas Tags: Research Source Type: research
Robust and rigorous identification of tissue-specific genes by statistically extending tau score
In this study, we aimed to identify tissue-specific genes for various human tissues/organs more robustly and rigorously by extending the tau score algorithm. (Source: BioData Mining)
Source: BioData Mining - December 9, 2022 Category: Bioinformatics Authors: Hatice B üşra Lüleci and Alper Yılmaz Tags: Methodology Source Type: research
Classification of breast cancer recurrence based on imputed data: a simulation study
Several studies have been conducted to classify various real life events but few are in medical fields; particularly about breast recurrence under statistical techniques. To our knowledge, there is no reported... (Source: BioData Mining)
Source: BioData Mining - December 7, 2022 Category: Bioinformatics Authors: Rahibu A. Abassi and Amina S. Msengwa Tags: Research Source Type: research
Detecting diseases in medical prescriptions using data mining methods
Every year, the health of millions of people around the world is compromised by misdiagnosis, which sometimes could even lead to death. In addition, it entails huge financial costs for patients, insurance comp... (Source: BioData Mining)
Source: BioData Mining - November 24, 2022 Category: Bioinformatics Authors: Sana Nazari Nezhad, Mohammad H. Zahedi and Elham Farahani Tags: Research Source Type: research
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning
Cancer is one of the leading causes of death worldwide and can be caused by environmental aspects (for example, exposure to asbestos), by human behavior (such as smoking), or by genetic factors. To understand ... (Source: BioData Mining)
Source: BioData Mining - November 3, 2022 Category: Bioinformatics Authors: Davide Chicco, Abbas Alameer, Sara Rahmati and Giuseppe Jurman Tags: Research Source Type: research
An unsupervised image segmentation algorithm for coronary angiography
Computer visual systems can rapidly obtain a large amount of data and automatically process them with ease. These characteristics constitute advantages for the application of such systems in the automatic anal... (Source: BioData Mining)
Source: BioData Mining - October 21, 2022 Category: Bioinformatics Authors: Zong-Xian Yin and Hong-Ming Xu Tags: Methodology Source Type: research
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts
Knowledge graphs support biomedical research efforts by providing contextual information for biomedical entities, constructing networks, and supporting the interpretation of high-throughput analyses. These dat... (Source: BioData Mining)
Source: BioData Mining - October 18, 2022 Category: Bioinformatics Authors: David N. Nicholson, Daniel S. Himmelstein and Casey S. Greene Tags: Research Source Type: research
EZCancerTarget: an open-access drug repurposing and data-collection tool to enhance target validation and optimize international research efforts against highly progressive cancers
The expanding body of potential therapeutic targets requires easily accessible, structured, and transparent real-time interpretation of molecular data. Open-access genomic, proteomic and drug-repurposing datab... (Source: BioData Mining)
Source: BioData Mining - October 1, 2022 Category: Bioinformatics Authors: David Dora, Timea Dora, Gabor Szegvari, Csongor Gerd án and Zoltan Lohinai Tags: Software article Source Type: research
Polygenic risk modeling of tumor stage and survival in bladder cancer
Bladder cancer assessment with non-invasive gene expression signatures facilitates the detection of patients at risk and surveillance of their status, bypassing the discomforts given by cystoscopy. To achieve ... (Source: BioData Mining)
Source: BioData Mining - September 30, 2022 Category: Bioinformatics Authors: Mauro Nascimben, Lia Rimondini, Davide Cor à and Manolo Venturin Tags: Research Source Type: research
Effective hybrid feature selection using different bootstrap enhances cancers classification performance
Machine learning can be used to predict the different onset of human cancers. Highly dimensional data have enormous, complicated problems. One of these is an excessive number of genes plus over-fitting, fittin... (Source: BioData Mining)
Source: BioData Mining - September 30, 2022 Category: Bioinformatics Authors: Noura Mohammed Abdelwahed, Gh. S. El-Tawel and M. A. Makhlouf Tags: Research Source Type: research
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature
Annotating scientific literature with ontology concepts is a critical task in biology and several other domains for knowledge discovery. Ontology based annotations can power large-scale comparative analyses in... (Source: BioData Mining)
Source: BioData Mining - September 28, 2022 Category: Bioinformatics Authors: Pratik Devkota, Somya D. Mohanty and Prashanti Manda Tags: Research Source Type: research
Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit
Clinical decision of extubation is a challenge in the treatment of patient with invasive mechanical ventilation (IMV), since existing extubation protocols are not capable of precisely predicting extubation fai... (Source: BioData Mining)
Source: BioData Mining - September 27, 2022 Category: Bioinformatics Authors: Zhixuan Zeng, Xianming Tang, Yang Liu, Zhengkun He and Xun Gong Tags: Research Source Type: research
Machine Learning Algorithms for understanding the determinants of under-five Mortality
Under-five mortality is a matter of serious concern for child health as well as the social development of any country. The paper aimed to find the accuracy of machine learning models in predicting under-five m... (Source: BioData Mining)
Source: BioData Mining - September 24, 2022 Category: Bioinformatics Authors: Rakesh Kumar Saroj, Pawan Kumar Yadav, Rajneesh Singh and Obvious.N. Chilyabanyama Tags: Methodology Source Type: research
ParticleChromo3D: a Particle Swarm Optimization algorithm for chromosome 3D structure prediction from Hi-C data
The three-dimensional (3D) structure of chromatin has a massive effect on its function. Because of this, it is desirable to have an understanding of the 3D structural organization of chromatin. To gain greater... (Source: BioData Mining)
Source: BioData Mining - September 21, 2022 Category: Bioinformatics Authors: David Vadnais, Michael Middleton and Oluwatosin Oluwadare Tags: Methodology Source Type: research
