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

Phase 4

Recruiting

• Conditions: patient taking warfarin over 6 monthsAge 18 or older; Warfarin; Bleeding factors; Self- Organizing Map; Artificial Neural Network; Multi- layer perceptron; Machine learning

• Registration Number: TCTR20180224001
• Lead Sponsor: Faculty of Pharmacy, Silpakorn University

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2018-02-24
• Study Completion: 2018-11-30
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 300

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

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

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Bleeding predictive model one year machine learning

Secondary Outcome Measures

Name	Time	Method
Bleeding factors One year statistical analysis and machine learning