AIMC Topic: Decision Support Systems, Clinical

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Artificial Intelligence: Bayesian versus Heuristic Method for Diagnostic Decision Support.

Applied clinical informatics
Evoking strength is one of the important contributions of the field of Biomedical Informatics to the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department wanted to create an expert system to assist patients with s...

Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Musculoskeletal disorders (MSDs) are one of the most important causes of disability with a high prevalence. The accurate and timely diagnosis of these disorders is often difficult. Clinical decision support systems (CDSSs) c...

Replicating human expertise of mechanical ventilation waveform analysis in detecting patient-ventilator cycling asynchrony using machine learning.

Computers in biology and medicine
BACKGROUND: - Acute respiratory failure is one of the most common problems encountered in intensive care units (ICU) and mechanical ventilation is the mainstay of supportive therapy for such patients. A mismatch between ventilator delivery and patien...

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

Artificial intelligence in medicine
OBJECTIVE: Electronic medical records (EMRs) contain medical knowledge that can be used for clinical decision support (CDS). Our objective is to develop a general system that can extract and represent knowledge contained in EMRs to support three CDS ...

Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Diagnosis as the initial step of medical practice, is one of the most important parts of complicated clinical decision making which is usually accompanied with the degree of ambiguity and uncertainty. Since uncertainty is th...

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Increasing learning ability from massive medical data and building learning methods robust to data quality issues are key factors toward building data-driven clinical decision support systems for medicine prescription decision support. Here, we attem...

ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients' management.

Journal of biomedical informatics
New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the emergence of more advanced applications and support systems for chronic patients. This trend addresses the important problem of chronic illnesses, high...

Decision support system for triage management: A hybrid approach using rule-based reasoning and fuzzy logic.

International journal of medical informatics
OBJECTIVES: Fast and accurate patient triage for the response process is a critical first step in emergency situations. This process is often performed using a paper-based mode, which intensifies workload and difficulty, wastes time, and is at risk o...

Using Big Data Analytics to Advance Precision Radiation Oncology.

International journal of radiation oncology, biology, physics
Big clinical data analytics as a primary component of precision medicine is discussed, identifying where these emerging tools fit in the spectrum of genomics and radiomics research. A learning health system (LHS) is conceptualized that uses clinicall...