Mitra Rahimi, Sayed Masoud Hosseini, Seyed Ali Mohtarami, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mobin Fathy, Arya Kazemi, Sina Khani, Seyed Mohammad Mortazavi, Amirali Soheili, Seyed Mohammad Vahabi, Shahin Shadnia
Methanol poisoning is a global public health concern, especially prevalent in developing nations. This study focuses on predicting the severity of methanol intoxication using machine learning techniques, aiming to improve early identification and prognosis assessment. The study, conducted at Loghman Hakim Hospital in Tehran, Iran. The data pertaining to individuals afflicted with methanol poisoning was retrieved retrospectively and divided into training and test groups at a ratio of 70:30. The selected features were then inputted into various machine learning methods...
March 6, 2024: Toxicology