The patients aged 20 years or older who are entered at the intensive care unit.
Conditions
Interventions
None listed
Sponsors
Yokohama city university school of medicine
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: All patients entering the intensive care unit
Exclusion criteria
Exclusion criteria: Patients who are unable to agree to participate in this study Patients deemed inappropriate as subjects by physicians
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The primary outcome is the correct answers rate of the prediction model which is constructed the machine learning. The correct answer of the prediction model is as follow, RASS, BPS: perfect maching or difference within 1 point. VAS: perfect maching or difference within 10mm. GCS: The maching of the 2 or full items After the second year of research, we will incorporate the data obtained in the previous year into the model, and update the evaluation of the accuracy rate every year. | — |
Countries
Japan
Contacts
Public ContactShunsuke Takaki
Yokohama city university school of medecine Department of Anesthesiology and Critical Care Medicine
Outcome results
None listed