BioData Mining

CLINICAL ASSISTANT DECISION-MAKING MODEL OF TUBERCULOSIS BASED ON ELECTRONIC HEALTH RECORDS

Tuberculosis is a dangerous infectious disease with the largest number of reported cases in China every year. Preventing missed diagnosis...

ALGORITHM-BASED DETECTION OF ACUTE KIDNEY INJURY ACCORDING TO FULL KDIGO CRITERIA INCLUDING URINE OUTPUT FOLLOWING CARDIAC SURGERY: A DESCRIPTIVE ANALYSIS

Automated data analysis and processing has the potential to assist, improve and guide decision making in medical practice. However,...

GENETICS AND PRECISION HEALTH: THE ECOLOGICAL FALLACY AND ARTIFICIAL INTELLIGENCE SOLUTIONS

UNSUPERVISED ENCODING SELECTION THROUGH ENSEMBLE PRUNING FOR BIOMEDICAL CLASSIFICATION

Owing to the rising levels of multi-resistant pathogens, antimicrobial peptides, an alternative strategy to classic antibiotics, got...

PREDICTION OF THE RISK OF DEVELOPING END-STAGE RENAL DISEASES IN NEWLY DIAGNOSED TYPE 2 DIABETES MELLITUS USING ARTIFICIAL INTELLIGENCE ALGORITHMS

Type 2 diabetes mellitus imposes a great burden on healthcare systems, and these patients experience higher long-term risks for developing...

SIGNATURE LITERATURE REVIEW REVEALS AHCY, DPYSL3, AND NME1 AS THE MOST RECURRENT PROGNOSTIC GENES FOR NEUROBLASTOMA

Neuroblastoma is a childhood neurological tumor which affects hundreds of thousands of children worldwide, and information about its...

TEN SIMPLE RULES FOR PROVIDING BIOINFORMATICS SUPPORT WITHIN A HOSPITAL

Bioinformatics has become a key aspect of the biomedical research programmes of many hospitals' scientific centres, and the establishment...

IU-NET: A HYBRID STRUCTURED NETWORK WITH A NOVEL FEATURE FUSION APPROACH FOR MEDICAL IMAGE SEGMENTATION

In recent years, convolutional neural networks have made great achievements in the field of medical image segmentation, especially...

THE MATTHEWS CORRELATION COEFFICIENT SHOULD REPLACE THE ROC AUC AS THE STANDARD METRIC FOR ASSESSING BINARY CLASSIFICATION

Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver...

LOFTK: A FRAMEWORK FOR FULLY AUTOMATED CALCULATION OF PREDICTED LOSS-OF-FUNCTION VARIANTS AND GENES

Loss-of-Function variants in human genes are important due to their impact on clinical phenotypes and frequent occurrence in the genomes...

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...

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....

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...

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...

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....

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 , by human behavior , or by genetic...

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...

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,...

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...

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...