Health Policy

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables.

Evaluating whether machines improve on human performance is one of the central questions of machine learning. However, there are many domains where the data is in the sense that the observed outcomes are themselves a consequence of the existing choices of the human decision-makers. For instance, in the context of judicial bail decisions, we observe the outcome of whether a defendant fails to retu...

De-identification of patient notes with recurrent neural networks.

OBJECTIVE: Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality of patients. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) defines 18 types of protected health information t...

PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneu...

Linked Data Applications Through Ontology Based Data Access in Clinical Research.

Clinical care and research data are widely dispersed in isolated systems based on heterogeneous data models. Biomedicine predominantly makes use of co...

Light-Weighted Automatic Import of Standardized Ontologies into the Content Management System Drupal.

The amount of ontologies, which are utilizable for widespread domains, is growing steadily. BioPortal alone, embraces over 500 published ontologies wi...

Uncovering Hidden Topics in Hong Kong Clinical Research Through Hospital Authority Convention Publications.

Uncovering clinical research trends allows us to understand the direction of healthcare services and is essential for longer-term healthcare planning....

Digital Mental Health - Innovations in Consumer Driven Care.

Barriers such as stigma and access issues prevent 60% of Canadians with mental health issues from seeking help. Saint Elizabeth Health Care's Intellig...

NT-proBNP Predicts All-Cause Mortality in a Population of Insurance Applicants, Follow-up Analysis and Further Observations.

OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for...

How Quality Improvement Practice Evidence Can Advance the Knowledge Base.

Recommendations for the evaluation of quality improvement interventions have been made in order to improve the evidence base of whether, to what exten...

Health Data Entanglement and artificial intelligence-based analysis: a brand new methodology to improve the effectiveness of healthcare services.

Healthcare expenses will be the most relevant policy issue for most governments in the EU and in the USA. This expenditure can be associated with two ...

The comparison of humeral intraosseous and intravenous administration of vasopressin on return of spontaneous circulation and pharmacokinetics in a hypovolemic cardiac arrest swine model.

INTRODUCTION: The American Heart Association (AHA) recommends intravenous (IV) or intraosseous (IO) vasopressin in Advanced Cardiac Life Support (ACLS...

Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records.

Electronic Healthcare Records (EHRs) have the potential to improve healthcare quality and to decrease costs by providing quality metrics, discovering ...

Efficacy and Safety Evaluation on Arterial Thrombolysis in Treating Acute Cerebral Infarction.

The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis in treating acute cerebral infarction and further d...

Transareolar Robotic-Assisted Access to the Mitral Valve.

During the past years, a rapid development and refinements of robotic heart valve techniques have led to consider robotic mitral valve (MV) surgery sa...

Use of artificial neural networks in the QSAR prediction of physicochemical properties and toxicities for REACH legislation.

With the introduction of the REACH legislation in the European Union, there is a requirement for property and toxicity data on chemicals produced in o...

An ontology for healthcare quality indicators: challenges for semantic interoperability.

Semantic interoperability, a popular research area for electronic health records, can also be a challenge for quality indicators. We analysed attribut...

A Pilot Ontology for Healthcare Quality Indicators.

Computerisation of quality indicators for the English National Health Service currently relies primarily on queries and clinical coding, with little u...

Facilitating Full-text Access to Biomedical Literature Using Open Access Resources.

Open access (OA) resources and local libraries often have their own literature databases, especially in the field of biomedicine. We have developed a ...

Regularised extreme learning machine with misclassification cost and rejection cost for gene expression data classification.

The main purpose of traditional classification algorithms on bioinformatics application is to acquire better classification accuracy. However, these a...

SINGLE-ACCESS TRANSUMBILICAL LAPAROSCOPIC APPENDECTOMY USING CURVED REUSABLE INSTRUMENTS: AN INITIAL REPORT OF THREE CASES.

INTRODUCTION: The continuous evolution of laparoscopic surgery and the ambition of better cosmetic results raise the need for less invasive procedures...