Learning and visualizing chronic latent representations using electronic health records
Nowadays, patients with chronic diseases such as diabetes and hypertension have reached alarming numbers worldwide. These diseases increase the risk of developing acute complications and involve a substantial ... (Source: BioData Mining)
Source: BioData Mining - September 5, 2022 Category: Bioinformatics Authors: David Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel Bohoyo and Inmaculada Mora-Jim énez Tags: Research Source Type: research
Analysis of risk factors progression of preterm delivery using electronic health records
Preterm deliveries have many negative health implications on both mother and child. Identifying the population level factors that increase the risk of preterm deliveries is an important step in the direction o... (Source: BioData Mining)
Source: BioData Mining - August 17, 2022 Category: Bioinformatics Authors: Zeineb Safi, Neethu Venugopal, Haytham Ali, Michel Makhlouf, Faisal Farooq and Sabri Boughorbel Tags: Research Source Type: research
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data
Cardiopulmonary exercise testing (CPET) provides a reliable and reproducible approach to measuring fitness in patients and diagnosing their health problems. However, the data from CPET consist of multiple time... (Source: BioData Mining)
Source: BioData Mining - August 13, 2022 Category: Bioinformatics Authors: Donald E. Brown, Suchetha Sharma, James A. Jablonski and Arthur Weltman Tags: Research Source Type: research
Benchmarking AutoML frameworks for disease prediction using medical claims
Ascertain and compare the performances of Automated Machine Learning (AutoML) tools on large, highly imbalanced healthcare datasets. (Source: BioData Mining)
Source: BioData Mining - July 26, 2022 Category: Bioinformatics Authors: Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi and Jason H. Moore Tags: Short report Source Type: research
Novel digital approaches to the assessment of problematic opioid use
The opioid epidemic continues to contribute to loss of life through overdose and significant social and economic burdens. Many individuals who develop problematic opioid use (POU) do so after being exposed to ... (Source: BioData Mining)
Source: BioData Mining - July 15, 2022 Category: Bioinformatics Authors: Philip J. Freda Jr, Henry R. Kranzler and Jason H. Moore Tags: Review Source Type: research
Single_cell_GRN: gene regulatory network identification based on supervised learning method and Single-cell RNA-seq data
Single-cell RNA-seq overcomes the shortcomings of conventional transcriptome sequencing technology and could provide a powerful tool for distinguishing the transcriptome characteristics of various cell types i... (Source: BioData Mining)
Source: BioData Mining - June 11, 2022 Category: Bioinformatics Authors: Bin Yang, Wenzheng Bao, Baitong Chen and Dan Song Tags: Methodology Source Type: research
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning
Cancer molecular subtyping plays a critical role in individualized patient treatment. In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes... (Source: BioData Mining)
Source: BioData Mining - April 23, 2022 Category: Bioinformatics Authors: Shaochuan Li, Yuning Yang, Xin Wang, Jun Li, Jun Yu, Xiangtao Li and Ka-Chun Wong Tags: Research Source Type: research
Correction: Confounding of linkage disequilibrium patterns in large scale DNA based gene-gene interaction studies
(Source: BioData Mining)
Source: BioData Mining - April 11, 2022 Category: Bioinformatics Authors: Marc Joiret, Jestinah M. Mahachie John, Elena S. Gusareva and Kristel Van Steen Tags: Correction Source Type: research
DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets
Thanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, ... (Source: BioData Mining)
Source: BioData Mining - April 4, 2022 Category: Bioinformatics Authors: Rayan Eid, Claudine Land ès, Alix Pernet, Emmanuel Benoît, Pierre Santagostini, Angelina El Ghaziri and Julie Bourbeillon Tags: Research Source Type: research
A new challenge for data analytics: transposons
(Source: BioData Mining)
Source: BioData Mining - March 25, 2022 Category: Bioinformatics Authors: Ralf E. Wellinger and Jes ús S. Aguilar–Ruiz Tags: Editorial Source Type: research
mSRFR: a machine learning model using microalgal signature features for ncRNA classification
This work presents mSRFR (microalgae SMOTE Random Forest Relief model), a classification tool for noncoding RNAs (ncRNAs) in microalgae, including green algae, diatoms, golden algae, and cyanobacteria. First, ... (Source: BioData Mining)
Source: BioData Mining - March 21, 2022 Category: Bioinformatics Authors: Songtham Anuntakarun, Supatcha Lertampaiporn, Teeraphan Laomettachit, Warin Wattanapornprom and Marasri Ruengjitchatchawalya Tags: Research Source Type: research
Predicting molecular initiating events using chemical target annotations and gene expression
The advent of high-throughput transcriptomic screening technologies has resulted in a wealth of publicly available gene expression data associated with chemical treatments. From a regulatory perspective, data ... (Source: BioData Mining)
Source: BioData Mining - March 4, 2022 Category: Bioinformatics Authors: Joseph L. Bundy, Richard Judson, Antony J. Williams, Chris Grulke, Imran Shah and Logan J. Everett Tags: Research Source Type: research
Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection
Symptom-based machine learning models for disease detection are a way to reduce the workload of doctors when they have too many patients. Currently, there are many research studies on machine learning or deep ... (Source: BioData Mining)
Source: BioData Mining - February 14, 2022 Category: Bioinformatics Authors: Wanchaloem Nadda, Waraporn Boonchieng and Ekkarat Boonchieng Tags: Research Source Type: research
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predict... (Source: BioData Mining)
Source: BioData Mining - February 14, 2022 Category: Bioinformatics Authors: Rawan AlSaad, Qutaibah Malluhi and Sabri Boughorbel Tags: Research Source Type: research
Gene-Interaction-Sensitive enrichment analysis in congenital heart disease
Gene set enrichment analysis (GSEA) uses gene-level univariate associations to identify gene set-phenotype associations for hypothesis generation and interpretation. We propose that GSEA can be adapted to inco... (Source: BioData Mining)
Source: BioData Mining - February 12, 2022 Category: Bioinformatics Authors: Alexa A. Woodward, Deanne M. Taylor, Elizabeth Goldmuntz, Laura E. Mitchell, A.J. Agopian, Jason H. Moore and Ryan J. Urbanowicz Tags: Methodology Source Type: research
