Peptic Ulcer Disease

Leveraging electronic health records for predictive modeling of post-surgical complications.

Hospital-specific electronic health record systems are used to inform clinical practice about best practices and quality improvements. Many surgical centers have developed deterministic clinical decision rules to discover adverse events (e.g. postoperative complications) using electronic health record data. However, these data provide opportunities to use probabilistic methods for early prediction...

Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that machine/statistical learning methods using single nucleotide polymorphism (SNP)-based genome-wide association studies (GWAS) would identify groups of patients of differing complication risk, and furthermore could be used to identify key biological source...

Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion.

In blood transfusion studies, plasma transfusion (PPT) and bleeding are known to be associated with risk of prolonged ICU length of stay (ICU-LOS). Ho...

Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer.

Individuals with colorectal cancer (CRC) have a tendency to intestinal bleeding which may result in mild to severe iron deficiency anemia, but for man...

Design, preparation and characterization of pH-responsive prodrug micelles with hydrolyzable anhydride linkages for controlled drug delivery.

We report a new prodrug micelle-based approach in which a model hydrophobic non-steroidal anti-inflammatory drug (NSAID), ibuprofen (Ibu), is tethered...

Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention.

BACKGROUND: The prognosis for patients with severe acute lower intestinal bleeding (ALIB) may be assessed by complex artificial neural networks (ANNs)...

A case of severe corrosive esophagitis, gastritis, and liver necrosis caused by ingestion of methyl ethyl ketone peroxide.

The plastic hardener methyl ethyl ketone peroxide is unstable peroxide that releases free oxygen radicals. Ingestion of this compound induces widespre...

Effectiveness and Safety of Tranexamic Acid in Spinal Deformity Surgery.

OBJECTIVE: Spinal deformity surgery has the potential risk of massive blood loss. To reduce surgical bleeding, the use of tranexamic acid (TXA) became...

Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.

BACKGROUND: Protein-protein interactions (PPIs) are essential to most biological processes. Since bioscience has entered into the era of genome and pr...

A systematic review and meta-analysis of the effect of prophylactic tranexamic acid treatment in major benign uterine surgery.

BACKGROUND: The value of tranexamic acid (TA) treatment as bleeding prophylaxis in major uterine surgery is unclear.

Multichannel Convolutional Neural Network for Biological Relation Extraction.

The plethora of biomedical relations which are embedded in medical logs (records) demands researchers' attention. Previous theoretical and practical f...

Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain.

Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although polypectomy at early stage reduces CRC incidence, 90% of the polyps ar...

Plasma Transfusion in Patients With Cirrhosis in China: A Retrospective Multicenter Cohort Study.

Patients with cirrhosis used to be associated with frequent use of blood components because of their complex disorder of hemostasis and bleeding compl...

Prediction of Protein-Protein Interactions by Evidence Combining Methods.

Most cellular functions involve proteins' features based on their physical interactions with other partner proteins. Sketching a map of protein-protei...

A cable-driven soft robot surgical system for cardiothoracic endoscopic surgery: preclinical tests in animals.

BACKGROUND: Minimally invasive surgery attracts more and more attention because of the advantages of minimal trauma, less bleeding and pain and low co...

Combining sequence and Gene Ontology for protein module detection in the Weighted Network.

Studies of protein modules in a Protein-Protein Interaction (PPI) network contribute greatly to the understanding of biological mechanisms. With the d...

Predicting Protein-Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids.

Information about the interface sites of Protein-Protein Interactions (PPIs) is useful for many biological research works. However, despite the advanc...

Generic feature learning for wireless capsule endoscopy analysis.

The interpretation and analysis of wireless capsule endoscopy (WCE) recordings is a complex task which requires sophisticated computer aided decision ...

Introducing the Big Knowledge to Use (BK2U) challenge.

The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the re...

Detecting Essential Proteins Based on Network Topology, Gene Expression Data, and Gene Ontology Information.

The identification of essential proteins in protein-protein interaction (PPI) networks is of great significance for understanding cellular processes. ...