LIED - Liver: Information, Education and Diagnosis

1992 ◽  
Vol 31 (04) ◽  
pp. 284-297 ◽  
Author(s):  
L. Console ◽  
V. di Meana ◽  
P. Torasso ◽  
G. Molino
Keyword(s):  
Medical Education ◽  
Expert System ◽  
Problem Solving ◽  
Clinical Diagnosis ◽  
Clinical Experience ◽  
Diagnostic System ◽  
Previous Experience ◽  
Diagnostic Process ◽  
The Core

Abstract:In this paper we describe LIED (Liver: Information, Education and Diagnosis), a diagnostic expert system devoted to medical education in the field of hepatology6. LIED combines the facilities of a traditional expert system for clinical diagnosis with several modules designed for educational purposes. The goal of such modules is to train physicians, in particular as regards the improvement of their problem solving ability (at the end of their curricula students in medicine usually lack experience in organizing an efficient and accurate diagnostic process). Training on real and simulated cases has been widely recognized as a proper approach to clinical experience. The architecture of the diagnostic system is introduced, which forms the core of LIED, and which has been derived from our previous experience, and the various educational functions are discussed that were developed on top of the basic architecture.

scholarly journals Partial failure diagnostics system in complex agricultural machinery

2021 ◽  
Vol 273 ◽  
pp. 07002
Author(s):  
Alexei Zotov ◽  
Vadim Gritsenko
Keyword(s):  
Expert System ◽  
Diagnostic System ◽  
Diagnostic Procedures ◽  
Current Situation ◽  
The State ◽  
Diagnostic Process ◽  
Agricultural Machinery ◽  
Agricultural Work ◽  
Diagnostics System ◽  
Effective Use

The authors presented a work that raises the reliability of agricultural machinery, the organization of diagnostic procedures and the effective use of units by reducing downtime. It is proposed to organize the diagnostic process according to the hierarchical principle and use the expert system to analyze the state of the object in the current situation. The diagram of the structure of the diagnostic system using the center of the state analysis is presented. The article is of interest to specialists working in the field of operating grain harvesters and increasing the productivity of agricultural work.

Observer Variation in Clinical Diagnosis - A Computer-Aided Assessment of its Magnitude and Importance in 552 Patients with Abdominal Pain

1973 ◽  
Vol 12 (02) ◽  
pp. 108-113 ◽  
Author(s):  
P. W. Gill ◽  
D. J. Leaper ◽  
P. J. Guillou ◽  
J. R. Staniland ◽  
J. C. Horhocks ◽  
...  
Keyword(s):  
Abdominal Pain ◽  
Clinical Diagnosis ◽  
Error Rate ◽  
Diagnostic System ◽  
Diagnostic Error ◽  
Observer Variation ◽  
History Taking ◽  
Computer Aided ◽  
Computer Based ◽  
Initial Survey

This report describes an evaluation of »observer variation« in history taking and examination of patients with abdominal pain. After an initial survey in which the degree of observer variation amongst the present authors fully confirmed previous rather gloomy forecasts, a system of »agreed definitions« was produced, and further studies showed a rapid and considerable fall in the degree of observer variation between the data recorded by the same authors. Finally, experience with a computer-based diagnostic system using the same system of agreed definitions showed the maximum diagnostic error rate due to faulty acquisition of data to be low (4.7°/o in a series of 552 cases). It is suggested as a result of these studies that — at least in respect of abdominal pain — errors in data acquisition by the clinician need not be the prime cause of faulty diagnoses.

Design and testing of secondary mirrors for the core CXRS diagnostic system in ITER

2013 ◽  
Vol 88 (9-10) ◽  
pp. 2021-2024 ◽  
Author(s):  
A. Krimmer ◽  
G. Kassek ◽  
H.J. Allelein ◽  
Yu. Krasikov ◽  
O. Neubauer
Keyword(s):  
Diagnostic System ◽  
The Core ◽  
Design And Testing

scholarly journals Self-Assessment of Problem Solving Disposition in Medical Students

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Silvia Lizett Olivares-Olivares ◽  
Mildred Vanessa López-Cabrera
Keyword(s):  
Health Care ◽  
Medical Education ◽  
Medical Students ◽  
Problem Solving ◽  
Medical Schools ◽  
Self Assessment ◽  
Competency Based Education ◽  
Competency Based ◽  
Future Demands ◽  
Disposition Model

Medical schools are committed to both students and society to develop capabilities required to succeed in health care environments. Present diagnosis and treatment methods become obsolete faster, demanding that medical schools incorporate competency-based education to keep pace with future demands. This study was conducted to assess the problem solving disposition of medical students. A three-subcategory model of the skill is proposed. The instrument was validated on content by a group of 17 experts in medical education and applied to 135 registered students on the sixth year of the M.D. Physician Surgeon program at a private medical school. Cronbach’s alpha indicated an internal consistency of 0.751. The findings suggest that selected items have both homogeneity and validity. The factor analysis resulted in components that were associated with three problem-solving subcategories. The students’ perceptions are higher in the pattern recognition and application of general strategies for problem solving subcategories of the Problem solving disposition model.

scholarly journals Sonography and hypotension: a change to critical problem solving in undergraduate medical education

2016 ◽  
pp. 7 ◽  
Author(s):  
Richard Amini ◽  
Lori Stolz ◽  
Nicholas Hernandez ◽  
Kevin Gaskin ◽  
Arthur Sanders ◽  
...  
Keyword(s):  
Medical Education ◽  
Problem Solving ◽  
Undergraduate Medical Education ◽  
Critical Problem

Structuring the Wider Environment and the DBT Team

2018 ◽  
pp. 216-234
Author(s):  
Michaela A. Swales ◽  
Christine Dunkley
Keyword(s):  
Clinical Experience ◽  
Implementation Research ◽  
Dialectical Tensions ◽  
Behaviour Therapy ◽  
Dialectical Behaviour Therapy ◽  
The Core ◽  
Clinical Literature ◽  
Consultation Team ◽  
The Individual

The role of the dialectical behaviour therapy (DBT) team lead is rarely discussed in the DBT academic or clinical literature. However, much implementation research and clinical experience in training and supporting teams new to DBT indicates the importance of the team lead to the correct and efficient functioning of the team itself. This chapter outlines the role of the team lead in relation to two of the functions of DBT; structuring the environment, and enhancing therapists’ capabilities and motivation. It outlines and discusses the core tasks of each of these functions for the team lead. Additionally, it describes the skills and strategies team leads need to learn and deploy to their team in the individual therapeutic and consultation team settings. Lastly, it outlines common dialectical tensions that can arise for team leads, and offers strategies for their management.

scholarly journals Artificial intelligence assisted electrocardiography for early diagnosis of thyrotoxic periodic paralysis

2021 ◽  
Author(s):  
Chin Lin ◽  
Chin-Sheng Lin ◽  
Ding-Jie Lee ◽  
Chia-Cheng Lee ◽  
Sy-Jou Chen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Early Diagnosis ◽  
Validation Cohort ◽  
Laboratory Data ◽  
Diagnostic System ◽  
Periodic Paralysis ◽  
Medical Emergency ◽  
Diagnostic Process ◽  
Routine Laboratory ◽  
Thyrotoxic Periodic Paralysis

Abstract CONTEXT Thyrotoxic periodic paralysis (TPP) characterized by acute weakness, hypokalemia and hyperthyroidism is a medical emergency with a great challenge in early diagnosis since most TPP patients do not have overt symptoms. OBJECTIVE To assess artificial intelligence (AI)-assisted electrocardiography (ECG) combined with routine laboratory data in the early diagnosis of TPP. METHODS A deep learning model (DLM) based on ECG12Net, an 82-layer convolutional neural network, was constructed to detect hypokalemia and hyperthyroidism. The development cohort consisted of 39 ECGs from patients with TPP and 502 ECGs of hypokalemic control; the validation cohort consisted of 11 ECGs of TPP and 36 ECGs of non-TPP with weakness. The AI-ECG based TPP diagnostic process was then consecutively evaluated in 22 male patients with TTP-like features. RESULTS In the validation cohort, the DLM-based ECG system detected all cases of hypokalemia in TPP patients with a mean absolute error of 0.26 mEq/L and diagnosed TPP with an area under curve (AUC) of ~80%, surpassing the best standard ECG parameter (AUC=0.7285 for the QR interval). Combining the AI predictions with the estimated glomerular filtration rate (eGFR) and serum chloride (Cl -) boosted the diagnostic accuracy of the algorithm to AUC 0.986. In the prospective study, the integrated AI and routine laboratory diagnostic system had a PPV of 100% and F-measure 87.5%. CONCLUSIONS An AI-ECG system reliably identifies hypokalemia in patients with paralysis and integration with routine blood chemistries provides valuable decision support for the early diagnosis of TPP.

scholarly journals Identification of damage development in the core of steel cord belts with the diagnostic system

2021 ◽  
Author(s):  
Ryszard Blazej ◽  
Leszek Jurdziak ◽  
Agata Kirjanow-Blazej ◽  
Tomasz Kozłowski
Keyword(s):  
Diagnostic System ◽  
Water Migration ◽  
Damage Development ◽  
Copper Ore ◽  
The Core ◽  
Single Defect ◽  
Steel Cord ◽  
Belt Conveyors ◽  
Changes Over Time ◽  
Over Time

Abstract Belt conveyors are used for transporting bulk materials over distances. The core of the belt, by transferring the longitudinal stresses and ensuring proper frictional coupling of the belt, enables belt movement and transportation of materials on its surface. As the belt cover and edges are used, the belt becomes abraded, and the core is subject to fatigue. The result is the development of cracks in rubber covers across the belt, which leads to the development of damage not only along the cables (the natural direction of water migration and corrosion) but also in the direction transverse to the belt axis. Conducting a series of scans of the St-type belt operating in one of the underground copper ore mines in Poland allowed identifying the number of failures as well as their size and changes over time. These data were in turn used to determine the measures defining the condition of the belt such as the density of defects (the number of defects per 1 m of the belt), the density of the area of damage (the area of damage per 1 m of the belt) and the change in the average area of a single defect over time. By determining the regression of these measures in time and the rate of damage development in both directions (along the axis of the belt and across the belt), it was possible to forecast future states of the belt, as well as to evaluate the costs of different belt replacement strategies and the economic rationalization of the decision to replace them. This research has become possible owing to the development of the DiagBelt system for two-dimensional imaging of the damage to the core of steel-cord belts with resolution sufficiently high to allow tracking the development of single core defects.

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