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Clinical Decision Support Systems
"... This paper is focused on how a general-purpose hierarchical planning representation, based on the HTN paradigm, can be used to support the representation of oncology treatment protocols. The planning algorithm used is a temporally extended HTN planning process capable of interpreting such representa ..."
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such representation and generating oncology treatment plans that have been proven to support clinical decisions in the area of pediatrics oncology.
Chapter 53. Clinical Decision Support Systems
"... Integrating medical knowledge and advances into the clinical setting is often difficult due to the complexity of the involved algorithms and protocols. Clinical decision support systems (CDSS) assist the clinician in applying new information to patient care through the analysis of patient-specific c ..."
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Integrating medical knowledge and advances into the clinical setting is often difficult due to the complexity of the involved algorithms and protocols. Clinical decision support systems (CDSS) assist the clinician in applying new information to patient care through the analysis of patient
Clinical Decision Support System Using OLAP Mining
"... The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Clinical Decision support systems (CDSS) can now use advanced technologies such as On-Line Analytical Processing (OLAP) and Data Mining to deliver advance ..."
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The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Clinical Decision support systems (CDSS) can now use advanced technologies such as On-Line Analytical Processing (OLAP) and Data Mining to deliver
User-adapted clinical decision support systems
"... Clinical Decision Support Systems (CDSSs) have been one of the challenging real-world applications of artificial intelligence techniques for decades. CDSSs built so far mainly deal with explicit medical knowledge, typically encoded into a knowledge base. The rationale is that medical personal knowle ..."
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Clinical Decision Support Systems (CDSSs) have been one of the challenging real-world applications of artificial intelligence techniques for decades. CDSSs built so far mainly deal with explicit medical knowledge, typically encoded into a knowledge base. The rationale is that medical personal
Using Clinical Decision Support Systems: Accuracy
"... Objective: The purpose of the current study was to develop support vector machine (SVM) and artificial neural network (ANN) models for the pre-operative prediction of advanced prostate cancer by using the parameters acquired from transrectal ultrasound (TRUS)-guided prostate biopsies, and to compare ..."
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clinical decision support systems (CDSSs-[SVM and ANN]) were constructed with input (age, prostate specific antigen level, digital rectal examination, and five biopsy parameters) and output data (the probability for advanced prostate cancer [> pT3a]). From the data of the test group, the accuracy
Clinic + -A Clinical Decision Support System Using Association Rule Mining
"... ABSTRACT: A Clinical Decision Support System(CDSS) assist practitioners and healthcare providers in decision making through timely access to electronically stored medical knowledge. A CDSS interacts with practitioners and electronic medical record systems to receive the patient data as input and pr ..."
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ABSTRACT: A Clinical Decision Support System(CDSS) assist practitioners and healthcare providers in decision making through timely access to electronically stored medical knowledge. A CDSS interacts with practitioners and electronic medical record systems to receive the patient data as input
Efficacy of a Clinical Decision-Support System in an HIV Practice
"... Background: Data to support improved patient outcomes from clinical decision-support systems (CDSSs) are lacking in HIV care. Objective: To test the efficacy of a CDSS in improving HIV out-comes in an outpatient clinic. Design: Randomized, controlled trial. (ClinicalTrials.gov registration number: N ..."
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Background: Data to support improved patient outcomes from clinical decision-support systems (CDSSs) are lacking in HIV care. Objective: To test the efficacy of a CDSS in improving HIV out-comes in an outpatient clinic. Design: Randomized, controlled trial. (ClinicalTrials.gov registration number
Effect of Clinical Decision-Support Systems A Systematic Review
"... Background: Despite increasing emphasis on the role of clinical decision-support systems (CDSSs) for improving care and reducing costs, evidence to support widespread use is lacking. Purpose: To evaluate the effect of CDSSs on clinical outcomes, health care processes, workload and efficiency, patien ..."
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Background: Despite increasing emphasis on the role of clinical decision-support systems (CDSSs) for improving care and reducing costs, evidence to support widespread use is lacking. Purpose: To evaluate the effect of CDSSs on clinical outcomes, health care processes, workload and efficiency
INTERACTION DESIGN FOR MOBILE CLINICAL DECISION SUPPORT SYSTEMS: THE MET SYSTEM SOLUTIONS
"... Abstract. The fit to the workflow is an important requirement for the acceptance of clinical decision support systems in practice. Clinical systems that do not satisfy this requirement are likely to be rejected by their users despite their functionality. Disruptions and deviations from the workflow ..."
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Abstract. The fit to the workflow is an important requirement for the acceptance of clinical decision support systems in practice. Clinical systems that do not satisfy this requirement are likely to be rejected by their users despite their functionality. Disruptions and deviations from the workflow
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