establish an artificial neural network model: to establish an artificial neural network model for pathogen diagnosis in ICU pneumonia
Study summary
To achieve rapid, intelligent and accurate microbiological diagnosis and treatment for ICU pneumonia, an artificial neural network model for microbiological diagnosis is established, which depends on many clinical cases and machine deep learning from clinical experts' judgements according to species-specific rapid detection of pathogenic bacteria and other clinical parameter variables of patients.
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria:
1. aged ≥18 years;
2. agreed to obtain lower respiratory specimens for rapid testing of pathogenic bacteria;
3. all were enrolled by an experienced physician who dynamically determined that the microorganisms were in a colonised or infected state;
4. signed an informed consent form.
Exclusion Criteria:
1. pregnant women;
2. lactating women;
3. patients who could not obtain lower respiratory specimens;
Primary outcome measure(s)
clinical evaluation of each microbial detected whether in colonization or infection — day1,day3 and day7 after enrollment Two experienced senior physicians are organized to determine whether the microbial are colonized or infected according to clinical values.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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