ArticleScientific reports2023
Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt.Scientific reports · 2025Article
- Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithms.Scientific reports · 2024Article
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Authors and funding
3 authors.
Funding
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Abstract
One of the important concerns in the field of exercise immunology is determining the appropriate intensity and duration of exercise to prevent suppression of the immune system. Adopting a reliable approach to predict the number of white blood cells (WBCs) during exercise can help to identify the appropriate intensity and duration. Therefore, this study was designed to predict leukocyte levels during exercise with the application of a machine-learning model. We used a random forest (RF) model to predict the number of lymphocytes (LYMPH), neutrophils (NEU), monocytes (MON), eosinophils, basophils, and WBC. Intensity and duration of exercise, WBCs values before exercise training, body mass index (BMI), and maximal aerobic capacity (VO
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