The Predictability of Bleeding on Patient Taking Warfarin Utilizing Self-Organizing Map Coupled with Multi-layer Perceptron Neural Network Method

The Predictability of Bleeding on Patient Taking Warfarin by Machine Learning Method

Status

Recruiting

Phases

Phase 4

Study type

Observational

Source

TCTR

Registry ID

TCTR20180224001

Enrollment

300

Registered

2018-02-24

Start date

2018-03-01

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

patient taking warfarin over 6 months Age 18 or older Warfarin Bleeding factors Self&#45

Interventions

Patients taking warfarin who visitingpass the inclusion criteria

Supportive Care

Patient taking warfarin

Eligibility

Sex/Gender

All

Age

18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1) Patients taking warfarin and older than 18 years old 2) Patients treated with warfarin over 6 months 3) Patients agree to participate in the study by signing the consent form 4) Patients can use Thai language to communicate

Exclusion criteria

Exclusion criteria: 1) Patients refused to attend the study 2) Patients with hearing impairment 3) Patients with memory impairment 4) Patients with incomplete medical records

Design outcomes

Primary

Measure	Time frame
Bleeding predictive model one year machine learning	—

Secondary

Measure	Time frame
Bleeding factors One year statistical analysis and machine learning	—

Countries

Thailand

Contacts

Public ContactLawan Sratthaphut

Silpakorn University

sratthaphut_l@su.ac.th034253910

Outcome results

None listed

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

The Predictability of Bleeding on Patient Taking Warfarin Utilizing Self&#45;Organizing Map Coupled with Multi&#45;layer Perceptron Neural Network Method