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Development of prediction and prevention for delirium using machine learning in advanced cancer patients

Development of prediction and prevention for delirium using machine learning in advanced cancer patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0008132
Enrollment
200
Registered
2023-01-17
Start date
2021-05-31
Completion date
Unknown
Last updated
2023-02-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

National Evidence-based Healthcare Callaborating Agency
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Adult advanced cancer patients aged 20 years or older (metastatic or recurrent patients) 2) Cancer patients admitted to the oncology ward or palliative care unit within the relevant research institution 3) Patients who can agree to the informed consent to participate in the study

Exclusion criteria

Exclusion criteria: 1) Patients unable to participate in the study due to brain metastasis, meningeal metastasis, cerebral infarction, etc. 2) Patients who have previously been diagnosed with mental illness other than delirium (dementia, etc.) 3) Excluding terminal cancer delirium: death within 15 ± 5 days after the onset of delirium, terminal care status (a condition in which medications and tests for correcting the cause and controlling symptoms are no longer performed; those with cognitive problems or psychiatric problems that make it difficult to participate in the study)

Design outcomes

Primary

MeasureTime frame
incidence of delirium

Secondary

MeasureTime frame
outcome of delirium

Countries

Korea, Republic of

Contacts

Public Contacthyeasun LEE

Bundang CHA General Hospital

0801sun7@naver.com+82-31-780-3910

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026