@article{article_1681528, title={Investigation of the effect of various factors on hair loss using machine learning techniques}, journal={International Journal of Engineering Approaches}, volume={2}, pages={25–31}, year={2025}, author={Aslan, Murat and Baş, Berkant and Parlak, Bekir}, keywords={Algoritma, Saç dökülmesi, Mühendislik, Özgün çalışmalar, Makine öğrenimi, Veri madenciliği}, abstract={Nowadays, hair loss has become a big problem for people in terms of psychology, aesthetics and many other aspects. Anxiety, stress, irregular nutrition, genetic and environmental factors are among the main causes of hair loss. This study was carried out to determine the various factors affecting hair loss and to test the suitability of machine learning and data mining methods in this study process. Analyses were made with many machine learning algorithms using different data sets. According to the results, while coffee consumption, which is one of the factors that has the most effect on hair loss in the first data set, was seen to affect hair loss by 95%, the factors in the second data set were seen to have less effect on hair loss compared to the factors in the first data set. These results show that we can use machine learning algorithms as an effective tool in the process of better understanding the hair loss problem and early diagnosis.}, number={1}, publisher={Amasya Üniversitesi}