Exercise countermeasure protocol management expert system

Webster, Laurie; Chen, Jen‐Gwo; Flores, Luis Ivan Ruiz; Tan, Simon

doi:10.1016/0169-2607(93)90024-f

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Since knowledge acquisition is the bottleneck to an expert system development [25], one of the goals of the present work was to validate the produced knowledge base using quantitative measures of performance in a large number of decision steps. Several methods have been proposed to evaluate decision support systems: success rate measures [26], receiver operating curves [27], cluster analysis [28], consistency of interventions [21] and kappa coefficient [20].…”

Section: Discussionmentioning

confidence: 99%

Decision support system to assist mechanical ventilation in the adult respiratory distress syndrome

Bottino

Giannella-Neto

David

et al. 1997

Int. J. Clin. Mon. Comp.

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This paper presents a knowledge-based decision support system to assist mechanical ventilation in patients with the Adult Respiratory Distress Syndrome (DSSARDS). The knowledge base uses clinical algorithms developed from interviews and seminars with experts. The system contains 140 rules, applies backward chaining and was built on an IBM-PC compatible microcomputer. Clinical and physiological data and ventilator settings were used for suggestions of ventilatory support mode (VSMODE) and settings (MVSET) and for hemodynamic evaluation and therapy (HEMO). Success rates (s) and kappa coefficient (k) were used to measure agreement between DSSARDS and physicians at 4 decision steps related to: beginning of mechanical ventilation (FIRSTSET), VSMODE, MVSET and HEMO, DSSARDS prototype was evaluated in a development phase with 6 patients aged 48.6 +/- 15.9 years. Agreement results for 142 decision steps were: FIRSTSET k = 0.90, s = 0.93; VSMODE k = 0.76, s = 0.92; HEMO k = 0.58, s = 0.70, MVSET k = 0.86, s = 0.92 (p < 0.05 for all k). Improvements in the knowledge base were performed mainly in HEMO and VSMODE modules. The subsequent test phase studied 5 patients aged 54.8 +/- 11.0 years in a total of 900 decision steps. Results were: FIRSTSET k = 0.93, s = 0.95; VSMODE k = 0.93, s = 0.96; HEMO k = 0.97, s = 0.99, MVSET k = 0.96, s = 0.97 (p < 0.05 for all k). The results indicate significant agreement between DSSARDS and physicians for all decision steps. This suggests that DSSARDS may be used as a support for decision making and a training tool for mechanical ventilation in patients with the adult respiratory distress syndrome.

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Section: Discussionmentioning

confidence: 99%

Decision support system to assist mechanical ventilation in the adult respiratory distress syndrome

Bottino

Giannella-Neto

David

et al. 1997

Int. J. Clin. Mon. Comp.

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Physiological effects of weightlessness: countermeasure system development for a long-term Chinese manned spaceflight

Wang

Tan

et al. 2018

Front. Med.

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The Chinese space station will be built around 2020. As a national space laboratory, it will offer unique opportunities for studying the physiological effects of weightlessness and the efficacy of the countermeasures against such effects. In this paper, we described the development of countermeasure systems in the Chinese space program. To emphasize the need of the Chinese space program to implement its own program for developing countermeasures, we reviewed the literature on the negative physiological effects of weightlessness, the challenges of completing missions, the development of countermeasure devices, the establishment of countermeasure programs, and the efficacy of the countermeasure techniques in American and Russian manned spaceflights. In addition, a brief overview was provided on the Chinese research and development on countermeasures to discuss the current status and goals of the development of countermeasures against physiological problems associated with weightlessness.

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Development of a real time extravehicular mobility unit telemetry monitoring expert system

Schuck

Chen

1996

Expert Systems with Applications

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Exercise countermeasure protocol management expert system

Cited by 4 publications

References 2 publications

Decision support system to assist mechanical ventilation in the adult respiratory distress syndrome

Decision support system to assist mechanical ventilation in the adult respiratory distress syndrome

Physiological effects of weightlessness: countermeasure system development for a long-term Chinese manned spaceflight

Development of a real time extravehicular mobility unit telemetry monitoring expert system

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