Medicare

Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques.

Applying data mining and machine learning (ML) techniques to clinical data might identify predictive biomarkers for diabetic nephropathy (DN), a common complication of type 2 diabetes mellitus (T2DM). A retrospective analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial was intended to identify such factors using ML. The longitudinal data were stratified by time after pa...

Effect of verticalization with Erigo® in the acute rehabilitation of severe acquired brain injury.

The recovery of the orthostatism after a severe acquired brain injury (sABI) is an essential objective to pursue in order to avoid the occurrence of secondary complications resulting from prolonged immobilization to which the patient is subjected during the acute phase. This randomized controlled trial aims to evaluate the effect of verticalization with the lower limb robot-assisted training syste...

Concept embedding to measure semantic relatedness for biomedical information ontologies.

There have been many attempts to identify relationships among concepts corresponding to terms from biomedical information ontologies such as the Unifi...

Estimating the Population Average Treatment Effect in Observational Studies with Choice-Based Sampling.

We consider causal inference in observational studies with choice-based sampling, in which subject enrollment is stratified on treatment choice. Choic...

Construction of medical equipment-based doctor health monitoring system.

The health status of doctors has been overlooked by the society and even the doctors themselves, especially those doctors who work long hours. Their a...

Deep-learning augmented RNA-seq analysis of transcript splicing.

A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on high sequencing coverage. We report DARTS (https://...

A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.

This study reviews the technique of convolutional neural network (CNN) applied in a specific field of mammographic breast cancer diagnosis (MBCD). It ...

A Novel Technique for Multi Biometric Cryptosystem Using Fuzzy Vault.

Biometric authentication is the process of recognizing a person by means of his\her psychological or behavioral traits. One of the most important issu...

A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data.

In this paper, we introduce a scalable machine learning approach accompanied by open-source software for identifying violent and peaceful forms of pol...

3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture.

The treatment planning process for patients with head and neck (H&N) cancer is regarded as one of the most complicated due to large target volume, mul...

Impact of nominal photon energies on normal tissue sparing in knowledge-based radiotherapy treatment planning for rectal cancer patients.

The interactive adjustment of the optimization objectives during the treatment planning process has made it difficult to evaluate the impact of beam q...

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk.

Transfer learning for predicting human skin sensitizers.

Computational prioritization of chemicals for potential skin sensitization risks plays essential roles in the risk assessment of environmental chemica...

Applications of artificial neural networks in health care organizational decision-making: A scoping review.

Health care organizations are leveraging machine-learning techniques, such as artificial neural networks (ANN), to improve delivery of care at a reduc...

Sleep Duration and Diabetic Kidney Disease.

Abnormally short or long durations of sleep have been proposed as a risk factors for diabetes and its micro- and macro-vascular complications. Howeve...

Prevalence of Vitamin D Inadequacy Among Chinese Postmenopausal Women: A Nationwide, Multicenter, Cross-Sectional Study.

We aimed to investigate the status of serum 25-hydroxyvitamin D [25(OH)D] among Chinese postmenopausal women in a multicenter cross-sectional study. ...

Case study: Evaluating quarter and composite milk sampling for detection of subclinical intramammary infections in dairy cattle.

Our objective was to evaluate a 200,000 cells/mL somatic cell count (SCC) cut-point on both the quarter and composite level to determine its effective...

Review of water quality criteria for water reuse and risk-based implications for irrigated produce under the FDA Food Safety Modernization Act, produce safety rule.

Questions related to the safety of alternative water sources, such as recycled water or reclaimed water (including grey water, produced water, return ...

Validation of the Behavior of a Knowledge Base Implementing Clinical Guidelines for Point-of-Care Antiretroviral Toxicity Monitoring.

This study investigated the automated detection of antiretroviral toxicities in structured electronic health records data. The evaluation compared res...

Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.

Software testing of knowledge-based clinical decision support systems is challenging, labor intensive, and expensive; yet, testing is necessary since ...