[Retracted] Implementation of a Heart Disease Risk Prediction Model Using Machine Learning

K Karthick, SK Aruna, R Samikannu… - … Methods in Medicine, 2022 - Wiley Online Library
Cardiovascular disease prediction aids practitioners in making more accurate health
decisions for their patients. Early detection can aid people in making lifestyle changes and, if …

[图书][B] Artificial intelligence in sport performance analysis

D Araújo, M Couceiro, L Seifert, H Sarmento, K Davids - 2021 - taylorfrancis.com
To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

Identification of success factors in elite wrestlers—An exploratory study

I Cieśliński, D Gierczuk, J Sadowski - PloS one, 2021 - journals.plos.org
Identification of success factors in wrestling as well as establishing their hierarchy are crucial
from a cognitive and practical standpoint. It may provide a lot of practical recommendations …

A multidisciplinary investigation into the talent development processes at an English football academy: A machine learning approach

AL Kelly, CA Williams, R Cook, SLJ Sáiz, MR Wilson - Sports, 2022 - mdpi.com
The talent development processes in youth football are both complex and multidimensional.
The purpose of this two-fold study was to apply a multidisciplinary, machine learning …

Mhfit: Mobile health data for predicting athletics fitness using machine learning models

J Miah, M Mamun, MM Rahman… - … seminar on machine …, 2022 - ieeexplore.ieee.org
Mobile phones and other electronic gadgets/devices have aided in collecting data without
the need for data entry. This paper will specifically focus on Mobile health data (m-health) …

Hybrid basketball game outcome prediction model by integrating data mining methods for the national basketball association

WJ Chen, MJ Jhou, TS Lee, CJ Lu - Entropy, 2021 - mdpi.com
The sports market has grown rapidly over the last several decades. Sports outcomes
prediction is an attractive sports analytic challenge as it provides useful information for …

Physical predictors for retention and dismissal of professional soccer head coaches: an analysis of locomotor variables using logistic regression pipeline

H Sousa, RM Musa, FM Clemente… - Frontiers in Sports and …, 2023 - frontiersin.org
Introduction Soccer has enormous global popularity, increasing pressure on clubs to
optimize performance. In failure, the tendency is to replace the Head coach (HC). This study …

Performance prediction and evaluation in female handball players using machine learning models

M Oytun, C Tinazci, B Sekeroglu, C Acikada… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning models are implemented to perform tasks that human beings have
difficulty completing. The analysis and prediction of players' performance of specific athletic …

Volleyball-specific skills and cognitive functions can discriminate players of different competitive levels

D Formenti, A Trecroci, M Duca, M Vanoni… - The Journal of …, 2022 - journals.lww.com
Abstract Formenti, D, Trecroci, A, Duca, M, Vanoni, M, Ciovati, M, Rossi, A, and Alberti, G.
Volleyball-specific skills and cognitive functions can discriminate players of different …

The effect of self-efficacy, social support, and achievement motivation on archery athlete's performance

MSR Wibowo - Retos: nuevas tendencias en educación física …, 2024 - dialnet.unirioja.es
Background: Self-Efficacy, Social Support, and Achievement Motivation are needed to
support archery athlete's performance, which impacts their achievement. Aim: This research …