The volume and variety of data exceed manual interpretation, requiring machine learning models for multi-source integration and predictive estimates
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
The volume and variety of data exceed manual interpretation, requiring machine learning models for multi-source integration and predictive estimates. Recurring limitations in external validation and interpretability of machine learning models. The need for more integrated and operational monitoring approaches for decision-making in women's volleyball.
Evidence profile
Sourced from the stated challenges and limitations and stated research gap of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 2 journals. Those papers have been cited 4 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Machine Learning and Non-Invasive Monitoring Technologies for Training Load Management in Women’s Volleyball: A Scoping Review (2026) · Sports · doi
The volume and variety of data exceed manual interpretation, requiring machine learning models for multi-source integration and predictive estimates. Recurring limitations in external validation and interpretability of machine learning models. The need for more integrated and operational monitoring approaches for decision-making in women's volleyball.
generalstated challengesKeywords: volume variety data exceed manual interpretation requiring machine - Integrated monitoring of training and sport performance throughout an entire handball season: practical applications in semi-professional female players (2026) · Frontiers in Sports and Active Living · doi
integrated monitoring approaches few studies have that capture investigated The aims of this study were: 1) to investigate the temporal dynamics and training and interrelationships among key performance variables across the competition season, and 2) to establish reference ranges for integrated monitoring variables to support adaptive, data-informed microcycle adjustments in semi-professional female handball.
generallimitationsevidence 5/5Keywords: integrated monitoring variables approaches capture investigated aims investigate temporal dynamics training interrelationships among performance across - The training and development process for a world-class female handball player: a longitudinal and retrospective case study (2025) · Frontiers in Sports and Active Living · cited 4× · doi
There is a lack of scientific insight into the training and development processes of female handball players. The development process of world-class handball players is not well understood, and there is a need for more research in this area. The study aims to address this gap by investigating the training and development process of a world-class female handball player.
generalstated research gapevidence 4/5Keywords: there lack scientific insight training development processes female
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