± HEALTH For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep le…± LIFESTYLE Loneliness is a pressing global health issue, yet traditional interventions often fall short due to scalabili…± POLICY Abstract As AI systems increasingly influence everyday life, integrating diverse community values is both eth…+ HEALTH Artificial intelligence has transformed digital pathology by enabling biomarker prediction from high-resoluti…+ POLICY As generative AI (GAI) becomes increasingly embedded in higher education, universities worldwide are developi…+ HEALTH ABSTRACT Efficient, accurate phenotyping for antidepressant treatment response in electronic health records (…+ HEALTH Electronic health records (EHRs) offer considerable potential for clinical prediction, but their complexity a…− HEALTH Abstract Computational pathology foundation models (CPathFMs) have emerged as a powerful approach for analyzi…
TruaceTracing the truth around AIFriday, July 17, 2026
Subscribe
TRV-2026-0237Certified recordPeer-reviewed

Application of Artificial Intelligence in Real-Time Strategic Decision Support System for Sports Competitions

Various high-tech technologies are used extensively around the world in sports competitions especially in athletic events where scientific real-time decision-making is essential to improve competitive efficiency and match outcomes. This research proposes the introduction of the concept of entropy by applying the ID3 algorithm with the use of the attribute entropy value change as the selection criterion to develop the decision tree model for real-time sports competition data processing. Meanwhile, an enhanced Mon…

Sports · G Space — documented gain · certified 2026-07-17 · v1 · article view · machine-readable

Current reading — gain

An AI decision support system using ID3 entropy and enhanced Monte Carlo tree search delivered real-time basketball strategy evaluation in about 3.13 seconds with 74% win rate and 84% decision rationality.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-0237, v1: “Application of Artificial Intelligence in Real-Time Strategic Decision Support System for Sports Competitions.” Truvace, 2026-07-17. /record/TRV-2026-0237 (accessed at citation time). sha256 4c689587a0a40c44…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv14c689587a0a4…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0237 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.