Diabetes

Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

We present the design, and analyze the performance of a multi-stage natural language processing system employing named entity recognition, Bayesian statistics, and rule logic to identify and characterize heart disease risk factor events in diabetic patients over time. The system was originally developed for the 2014 i2b2 Challenges in Natural Language in Clinical Data. The system's strengths inclu...

Pathology Image of the Month:Cough and Shortness of Breath in a Noncompliant Patient with HIV/AIDS.

A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) was admitted to the intensive care unit following a four month history of progressive shortness of breath, productive cough, and flu-like symptoms. His HIV/AIDS was diagnosed at the age of 19 (CD4 count =15; viral load = 294,436 copies/ mL) and was complicated by hemodialysis-dependent, HIV-associate...

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

OBJECTIVE: To develop an expandable knowledge base of reusable knowledge related to self-management of diabetes that can be used as a foundation for p...

Knowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data.

Cell signaling underlies transcription/epigenetic control of a vast majority of cell-fate decisions. A key goal in cell signaling studies is to identi...

Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.

The second track of the 2014 i2b2/UTHealth natural language processing shared task focused on identifying medical risk factors related to Coronary Art...

Retzius-sparing robot-assisted laparoscopic radical prostatectomy: Critical appraisal of the anatomic landmarks for a complete intrafascial approach.

To provide an overview of the anatomical landmarks needed to guide a retropubic (Retzius)-sparing robot-assisted laparoscopic prostatectomy (RALP), an...

The application of fuzzy statistics and linear discriminant analysis as criteria for optimizing the preparation of plasma for matrix-assisted laser desorption/ionization mass spectrometry peptide profiling.

An alternative bioinformatics approach based on fuzzy theory statistics and linear discriminant analysis is proposed for the interpretation of MALDI M...

Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Heart disease is the leading cause of death globally and a significant part of the human population lives with it. A number of risk factors have been ...

Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier.

Prolonged diabetes retinopathy leads to diabetes maculopathy, which causes gradual and irreversible loss of vision. It is important for physicians to ...

Metabolic parameters in type 2 diabetic patients with varying degrees of glycemic control during Ramadan: An observational study.

AIMS/INTRODUCTION: The changes in metabolic parameters in type 2 diabetic patients who fast during Ramadan have not been studied in Singapore. This st...

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.

BACKGROUND AND OBJECTIVE: Understanding the causes of disagreement among experts in clinical decision making has been a challenge for decades. In part...

Does preoperative diabetes mellitus affect weight loss outcome after biliopancreatic diversion with duodenal switch?

BACKGROUND: Preoperative type 2 diabetes mellitus (T2 DM) has previously been reported as an independent predictor for suboptimal (≤40%) weight loss a...

Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring.

The present work presents the comparative assessment of four glucose prediction models for patients with type 1 diabetes mellitus (T1DM) using data fr...

Lack of association between anemia and renal disease progression in Chinese patients with type 2 diabetes.

AIMS/INTRODUCTION: Anemia has a close interaction with renal dysfunction in diabetes patients. More proof is still awaited on the relationship between...

Annotating risk factors for heart disease in clinical narratives for diabetic patients.

The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, C...

Applying a novel combination of techniques to develop a predictive model for diabetes complications.

Among the many related issues of diabetes management, its complications constitute the main part of the heavy burden of this disease. The aim of this ...

Development of an antidiabetic formulation (ADJ6) and its inhibitory activity against α-amylase and α-glucosidase.

There has recently been much advancement in the diagnosis, treatment, and research of metabolic disorders, especially diabetes. Current research aroun...

IgA nephropathy in systemic lupus erythematosus patients: case report and literature review.

Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one of the most striking manifestations. Although it c...

Investigation of Effects of Epidural Anaesthesia Combined with General Anaesthesia on the Stress Response in Patients Undergoing Hip and Knee Arthroplasty.

OBJECTIVE: To investigate the effects of general anaesthesia and general+epidural anaesthesia on the stress response which was evaluated with the adre...

Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.

The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, to date, no study has assessed the predictive powe...