Applications of machine learning model for prediction of outcomes in primary pontine hemorrhage

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20210919002

Enrollment

Registered

2021-09-19

Start date

2020-12-11

Completion date

Unknown

Last updated

2026-08-03

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

Conditions

Pontine hemorrhage Pontine hemorrhage

Interventions

Pontine hemorrhage patients fit to inclusion criteria

Supportive Care

Pontine hemorrhage

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: - Pontine hemorrhage patients diagnosed in Thammasat University Hospital since January 2012 - December 2021

Exclusion criteria

Exclusion criteria: - Etiology from abnormal vascular lesion ex. AVM, aneurysm - Etiology from tumor - Pontine hemorrhage with other sites hemorrhage - Loss follow-up data or incomplete data

Design outcomes

Primary

Measure	Time frame
30d Mortality 1 month 30d Mortality prediction	—

Secondary

Measure	Time frame
30d functional outcome 1 month 30d functional outcome prediction,90d mortality 3 months 90d mortality prediction,90d functional outcome 3 months 90d functional outcome prediction	—

Countries

Thailand

Contacts

Public ContactVich Yindeedej

Faculty of Medicine

vich2001@hotmail.com029269053

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026