{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T07:26:58Z","timestamp":1769153218344,"version":"3.49.0"},"reference-count":26,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,1,4]],"date-time":"2023-01-04T00:00:00Z","timestamp":1672790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of Economic Ho Chi Minh City (UEH) Vietnam","award":["2022-09-19-1159"],"award-info":[{"award-number":["2022-09-19-1159"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>To maintain and improve an amateur athlete\u2019s fitness throughout training and to achieve peak performance in sports events, good nutrition and physical activity (general and training specifically) must be considered as important factors. In our context, the terminology \u201camateur athletes\u201d represents those who want to practice sports to protect their health from sickness and diseases and improve their ability to join amateur athlete events (e.g., marathons). Unlike professional athletes with personal trainer support, amateur athletes mostly rely on their experience and feeling. Hence, amateur athletes need another way to be supported in monitoring and recommending more efficient execution of their activities. One of the solutions to (self-)coaching amateur athletes is collecting lifelog data (i.e., daily data captured from different sources around a person) to understand how daily nutrition and physical activities can impact their exercise outcomes. Unfortunately, not all factors of the lifelog data can contribute to understanding the mutual impact of nutrition, physical activities, and exercise frequency on improving endurance, stamina, and weight loss. Hence, there is no guarantee that analyzing all data collected from people can produce good insights towards having a good model to predict what the outcome will be. Besides, analyzing a rich and complicated dataset can consume vast resources (e.g., computational complexity, hardware, bandwidth), and this therefore does not suit deployment on IoT or personal devices. To meet this challenge, we propose a new method to (i) discover the optimal lifelog data that significantly reflect the relation between nutrition and physical activities and training performance and (ii) construct an adaptive model that can predict the performance for both large-scale and individual groups. Our suggested method produces positive results with low MAE and MSE metrics when tested on large-scale and individual datasets and also discovers exciting patterns and correlations among data factors.<\/jats:p>","DOI":"10.3390\/a16010030","type":"journal-article","created":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T02:00:57Z","timestamp":1672884057000},"page":"30","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8702-5945","authenticated-orcid":false,"given":"Phuc-Thinh","family":"Nguyen","sequence":"first","affiliation":[{"name":"University of Information Technology, Ho Chi Minh City 700000, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City 700000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3044-8175","authenticated-orcid":false,"given":"Minh-Son","family":"Dao","sequence":"additional","affiliation":[{"name":"National Institute of Information and Communications Technology, Tokyo 184-8795, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3153-2064","authenticated-orcid":false,"given":"Michael","family":"Riegler","sequence":"additional","affiliation":[{"name":"Simula Research Laboratory, 0164 Oslo, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5417-0289","authenticated-orcid":false,"given":"Rage","family":"Kiran","sequence":"additional","affiliation":[{"name":"Aizu University, Fukushima 965-8580, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5835-4114","authenticated-orcid":false,"given":"Thai-Thinh","family":"Dang","sequence":"additional","affiliation":[{"name":"University of Economic Ho Chi Minh City (UEH), Ho Chi Minh City 700000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7987-6627","authenticated-orcid":false,"given":"Duy-Dong","family":"Le","sequence":"additional","affiliation":[{"name":"University of Economic Ho Chi Minh City (UEH), Ho Chi Minh City 700000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7443-8529","authenticated-orcid":false,"given":"Kieu-Chinh","family":"Nguyen-Ly","sequence":"additional","affiliation":[{"name":"University of Economic Ho Chi Minh City (UEH), Ho Chi Minh City 700000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7746-2030","authenticated-orcid":false,"given":"Thanh-Qui","family":"Pham","sequence":"additional","affiliation":[{"name":"University of Economic Ho Chi Minh City (UEH), Ho Chi Minh City 700000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6405-7597","authenticated-orcid":false,"given":"Van-Luong","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Economic Ho Chi Minh City (UEH), Ho Chi Minh City 700000, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1080\/07315724.2020.1795950","article-title":"Pre-exercise nutrition habits and beliefs of endurance athletes vary by sex, competitive level, and diet","volume":"40","author":"Rothschild","year":"2021","journal-title":"J. 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