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Decision Support Systems, Clinical

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Identifying Patients with Depression Using Free-text Clinical Documents.

Studies in health technology and informatics
About 1 in 10 adults are reported to exhibit clinical depression and the associated personal, societal, and economic costs are significant. In this study, we applied the MTERMS NLP system and machine learning classification algorithms to identify pat...

Classifying the Indication for Colonoscopy Procedures: A Comparison of NLP Approaches in a Diverse National Healthcare System.

Studies in health technology and informatics
In order to measure the level of utilization of colonoscopy procedures, identifying the primary indication for the procedure is required. Colonoscopies may be utilized not only for screening, but also for diagnostic or therapeutic purposes. To determ...

Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments.

Studies in health technology and informatics
Knowledge of the left ventricular ejection fraction is critical for the optimal care of patients with heart failure. When a document contains multiple ejection fraction assessments, accurate classification of their contextual use is necessary to filt...

A Decision Fusion Framework for Treatment Recommendation Systems.

Studies in health technology and informatics
Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trai...

An Ontology-Based Clinical Decision Support System for the Management of Patients with Multiple Chronic Disorders.

Studies in health technology and informatics
Decision support systems, as means of disseminating clinical practice guidelines, are powerful software that may lead to an improvement of medical practices. However, they are not always efficient and may suffer from limitations among which are lack ...

Exploitation of Medical Crisp Database for Fuzzy Diagnostic Decision Support Systems.

Studies in health technology and informatics
There are several types of Diagnostic Decision Support Systems (DDSS) but all move towards a common direction: provide assistance to the doctors/clinicians to make the right diagnosis for a specific patient, minimizing as much as possible the needed ...

Applying machine learning to gait analysis data for disease identification.

Studies in health technology and informatics
A machine-learning framework to identify the specific disease afflicting certain patients diagnosed with Neurological and Neuromuscular Diseases (NND) or Juvenile Idiopathic Arthritis (JIA) using only gait analysis data is presented. Classifying such...

Detecting Learning and Reasoning Patterns in a CDSS for Dementia Investigation.

Studies in health technology and informatics
Reasoning conducted in clinical practice is manifested through different and often combined reasoning and learning strategies, adjusted to the characteristics of the available information, the medical professional's experience and skills, and the ava...

GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases.

Studies in health technology and informatics
This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based...

Problem Solving for Volatilizing Situation in Nursing: Developing Thinking Process Supporting System using NursingNAVI® Contents.

Studies in health technology and informatics
We have identified three foci of the nursing observation and nursing action respectively. Using these frameworks, we have developed the structured knowledge model for a number of diseases and medical interventions. We developed this structure based N...