Application progress of improved algorithm based on Tri-training in medical fields such as auxiliary diagnosis

TIANJIN SCIENCE & TECHNOLOGY ›› 2025, Vol. 52 ›› Issue (09): 26-28+32.

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Application progress of improved algorithm based on Tri-training in medical fields such as auxiliary diagnosis

QIAO Zhen¹, QI Hong², LUO Xi³

1. School of Basic Medical Sciences,Tianjin Medical University,Tianjin 300070,China;
2. Center for Technology Transfer,Tianjin Medical University,Tianjin 300070,China;
3. Information Centre,Tianjin Medical University,Tianjin 300070,China

Received:2025-08-05 Online:2025-09-25 Published:2026-01-04

Abstract

Abstract: The Tri-training algorithm is a type of semi-supervised learning algorithm in machine learning algorithms. Since its proposal,improvements and variants based on Tri-training have become increasingly diverse. This paper introduces the principles and procedural steps of the Tri-training algorithm,and based on this,analyzes its application status in the field of medical auxiliary diagnosis. An outlook on the future development directions of the improved Tri-training algorithm in the medical field is presented.

Key words: Tri-training, semi-supervised learning, auxiliary diagnosis, machine learning

CLC Number:

QIAO Zhen, QI Hong, LUO Xi. Application progress of improved algorithm based on Tri-training in medical fields such as auxiliary diagnosis[J]. TIANJIN SCIENCE & TECHNOLOGY, 2025, 52(09): 26-28+32.

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Application progress of improved algorithm based on Tri-training in medical fields such as auxiliary diagnosis

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