Search Support Tools

2020 ◽  
pp. 139-160
Author(s):  
Kazutoshi Umemoto ◽  
Takehiro Yamamoto ◽  
Katsumi Tanaka
Keyword(s):  
Support Tools

Computer-Aided Diagnosis in Jaundice: Comparison of Knowledge-based and Probabilistic Approaches

1996 ◽  
Vol 35 (01) ◽  
pp. 41-51 ◽  
Author(s):  
F. Molino ◽  
D. Furia ◽  
F. Bar ◽  
S. Battista ◽  
N. Cappello ◽  
...  
Keyword(s):  
Clinical Presentation ◽  
Clinical Information ◽  
Diagnostic Value ◽  
Clinical Findings ◽  
Clinical Documentation ◽  
Data Set ◽  
Knowledge Based ◽  
Number Of Patients ◽  
Support Tools ◽  
Aided Diagnosis

AbstractThe study reported in this paper is aimed at evaluating the effectiveness of a knowledge-based expert system (ICTERUS) in diagnosing jaundiced patients, compared with a statistical system based on probabilistic concepts (TRIAL). The performances of both systems have been evaluated using the same set of data in the same number of patients. Both systems are spin-off products of the European project Euricterus, an EC-COMACBME Project designed to document the occurrence and diagnostic value of clinical findings in the clinical presentation of jaundice in Europe, and have been developed as decision-making tools for the identification of the cause of jaundice based only on clinical information and routine investigations. Two groups of jaundiced patients were studied, including 500 (retrospective sample) and 100 (prospective sample) subjects, respectively. All patients were independently submitted to both decision-support tools. The input of both systems was the data set agreed within the Euricterus Project. The performances of both systems were evaluated with respect to the reference diagnoses provided by experts on the basis of the full clinical documentation. Results indicate that both systems are clinically reliable, although the diagnostic prediction provided by the knowledge-based approach is slightly better.

META- ANALYSIS OF THE USE MOVIE TRAILER IN EFL CLASSROOM

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Umi Halimatus Saidah ◽  
Aang Fatihul Islam
Keyword(s):  
Teaching Methods ◽  
Meta Analysis ◽  
Basic Data ◽  
English Learning ◽  
Research Results ◽  
Use Of Technology ◽  
Support Tools ◽  
To Come

The scenes in the trailer shown are all sorts of interesting and prominent scenesto attract the attention of potential viewers and be able to describe the entire contents of the movie without giving too much information. The trailer was created to promote theatrical release of the movie and the movie trailer was a clip containing all the parts of the advertised movie, shown before other movie screenings in the cinema, and aimed for the audience to come to watch. The best way to teach English is to use interesting material, appropriate teaching methods, the use of technology that can be one of the important and effective support tools. Meta-analysis is essentially a synthesis of a topic taken from several research reports. Based on the synthesis is drawn conclusions about the topic under study. This research uses some similar research results as basic data in conducting studies and conclusions. From the same five studies, it is concluded that Movie Trailer is effective as a learning medium because it can improve understanding in English learning.

Innovative monitoring instruments as support tools for natural risks management

2019 ◽  
Vol 48 ◽  
pp. 76-83
Author(s):  
Alessandro Valletta ◽  
Andrea Carri ◽  
Andrea Segalini
Keyword(s):  
Support Tools

Decision Support Tools For Assessing Petroleum Upstream Investments

2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar
Keyword(s):  
Decision Support ◽  
Decision Support Tools ◽  
Support Tools

Elicitation of expert knowledge to develop decision support tools for use in water demand management planning

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey
Keyword(s):  
Decision Support ◽  
Water Demand ◽  
Expert Knowledge ◽  
Demand Management ◽  
Decision Processes ◽  
Conservation Strategy ◽  
Influence Diagrams ◽  
Decision Support Tools ◽  
Water Demand Management ◽  
Support Tools

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.

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