{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T16:49:32Z","timestamp":1790786972403,"version":"4.1.0"},"reference-count":68,"publisher":"Human Kinetics","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,9,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Purpose<\/jats:bold>:<\/jats:italic> The influence of preceding load and future perceived wellness of professional soccer players is unexamined. This paper simultaneously evaluates the external load (EL) and internal load (IL) for different time frames in combination with presession wellness to predict future perceived wellness using machine learning techniques. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> Training and match data were collected from a professional soccer team. The EL was measured using global positioning system technology and accelerometry. The IL was obtained using the rating of perceived exertion multiplied by duration. Predictive models were constructed using gradient-boosted regression trees (GBRT) and one naive baseline method. The individual predictions of future wellness items (ie,\u00a0fatigue, sleep quality, general muscle soreness, stress levels, and mood) were based on a set of EL and IL indicators in combination with presession wellness. The EL and IL were computed for acute and cumulative time frames. The GBRT model\u2019s performance on predicting the reported future wellness was compared with the naive baseline\u2019s performance by means of absolute prediction error and effect size. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> The GBRT model outperformed the baseline for the wellness items such as fatigue, general muscle soreness, stress levels, and mood. In addition, only the combination of EL, IL, and presession perceived wellness resulted in nontrivial effects for predicting future wellness. Including the cumulative load did not improve the predictive performances. <jats:italic><jats:bold>Conclusions<\/jats:bold>:<\/jats:italic> The findings may indicate the importance of including both acute load and presession perceived wellness in a broad monitoring approach in professional soccer.<\/jats:p>","DOI":"10.1123\/ijspp.2017-0864","type":"journal-article","created":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T13:54:15Z","timestamp":1548942855000},"page":"1074-1080","source":"Crossref","is-referenced-by-count":32,"title":["Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness"],"prefix":"10.1123","volume":"14","author":[{"given":"Tim","family":"Op De Be\u00e9ck","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arne","family":"Jaspers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michel S.","family":"Brink","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wouter G.P.","family":"Frencken","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filip","family":"Staes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesse J.","family":"Davis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Werner F.","family":"Helsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"key":"ref21","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/j.jsams.2012.12.003","article-title":"Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players","volume":"16","author":"Buchheit","year":"2013","journal-title":"J Sci Med Sport"},{"key":"ref231","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: a gradient boosting machine","volume":"29","author":"Friedman","year":"2001","journal-title":"Ann Stat"},{"key":"ref621","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/S0895-4356(03)00170-7","article-title":"Imputation of missing longitudinal data: a comparison of methods","volume":"56","author":"Engels","year":"2003","journal-title":"J Clin Epidemiol"},{"key":"ref341","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1136\/bjsports-2016-097255","article-title":"Why do workload spikes cause injuries, and which athletes are at higher risk? 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