International Journal of Environmental Research and Public Health Article Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study Po-Hsin Chou 1,2, Tsair-Wei Chien 3 , Ting-Ya Yang 4,5, Yu-Tsen Yeh 6, Willy Chou 7,* and Chao-Hung Yeh 8,* 1 Department of Orthopedics and Traumatology, Taipei Veterans General Hospital, Taipei 112, Taiwan;
[email protected] 2 School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan 3 Department of Medical Research, Chi-Mei Medical Center, Tainan 700, Taiwan;
[email protected] 4 Medical Education Center, Chi-Mei Medical Center, Tainan 700, Taiwan;
[email protected] 5 School of Medicine, College of Medicine, China Medical University, Taichung 400, Taiwan 6 Medical School, St. George’s University of London, London SW17 0RE, UK;
[email protected] 7 Department of Physical Medicine and Rehabilitation, Chi Mei Medical Center, Tainan 700, Taiwan 8 Department of Neurosurgery, Chi Mei Medical Center, Tainan 700, Taiwan * Correspondence:
[email protected] (W.C.);
[email protected] (C.-H.Y.); Tel.: +886-6291-2811 (C.-H.Y.) Abstract: The prediction of whether active NBA players can be inducted into the Hall of Fame (HOF) is interesting and important. However, no such research have been published in the literature, Citation: Chou, P.-H.; Chien, T.-W.; particularly using the artificial neural network (ANN) technique. The aim of this study is to build an Yang, T.-Y.; Yeh, Y.-T.; Chou, W.; Yeh, ANN model with an app for automatic prediction and classification of HOF for NBA players.