AIMC Topic: Decision Support Systems, Clinical

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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...

A recommender system for medical imaging diagnostic.

Studies in health technology and informatics
The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical...

Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics.

Studies in health technology and informatics
Electronic Health Records (EHRs) contain a wealth of information about an individual patient's diagnosis, treatment and health outcomes. This information can be leveraged effectively to identify patients who are similar to each for disease diagnosis ...

Biomarkers in the ontology for general medical science.

Studies in health technology and informatics
A great deal of recent work has been devoted to the topic of biomarkers as aids to diagnosis, prognosis and treatment evaluation. Basing our work on the Ontology for General Medical Science (OGMS) and on the specifications provided by the Institute o...

A methodology for mining clinical data: experiences from TRANSFoRm project.

Studies in health technology and informatics
Data mining of electronic health records (eHRs) allows us to identify patterns of patient data that characterize diseases and their progress and learn best practices for treatment and diagnosis. Clinical Prediction Rules (CPRs) are a form of clinical...

Synthesizing analytic evidence to refine care pathways.

Studies in health technology and informatics
Care pathways play significant roles in delivering evidence-based and coordinated care to patients with specific conditions. In order to put care pathways into practice, clinical institutions always need to adapt them based on local care settings so ...