[PDF][PDF] Comparison of machine learning algorithms to predict intentional and unintentional poisoning risk factors

Y Veisani, H Sayyadi, A Sahebi, G Moradi… - Heliyon, 2023 - cell.com
Introduction A major share of poisoning cases are perpetrated intentionally, but this varies
depending on different geographical regions, age spectrums, and gender distribution. The …

Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the …

O Mehrpour, F Saeedi, S Nakhaee… - BMC medical informatics …, 2023 - Springer
Background Biguanides and sulfonylurea are two classes of anti-diabetic medications that
have commonly been prescribed all around the world. Diagnosis of biguanide and …

Deep learning neural network derivation and testing to distinguish acute poisonings

O Mehrpour, C Hoyte, A Al Masud… - Expert Opinion on …, 2023 - Taylor & Francis
Introduction Acute poisoning is a significant global health burden, and the causative agent is
often unclear. The primary aim of this pilot study was to develop a deep learning algorithm …

Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System

O Mehrpour, C Hoyte, H Delva‐Clark… - Basic & clinical …, 2022 - Wiley Online Library
The primary aim of this pilot study was to develop a machine learning algorithm to predict
and distinguish eight poisoning agents based on clinical symptoms. Data were used from …

Investigation of Poisoning Prevalence and its Related Factors in Patients Referred to Farsan's Hospital During 2018-2019, Iran

M Kabiri, SM Hosseini, F Veisi, S Mortezaei… - … and Health System …, 2022 - ehsj.skums.ac.ir
Background and aims: Poisoning is one of the main medical emergencies that is divided into
intentional and unintentional types. According to previous records on poisoning attributed to …

[HTML][HTML] Predictors of intentional intoxication using decision tree modeling analysis: a retrospective study

ES Oh, JH Choi, JW Lee, SY Park - Clinical and experimental …, 2018 - ncbi.nlm.nih.gov
Objective The suicide rate in South Korea is very high and is expected to increase in coming
years. Intoxication is the most common suicide attempt method as well as one of the …

[HTML][HTML] The relative risk of toxico-clinical parameters with respect to poisoning severity and outcomes in patients with acute poisoning

N Eizadi-Mood, R Heshmat, R Meamar… - Advanced biomedical …, 2022 - journals.lww.com
Background: Complications or death risk factors is necessary for better monitoring and
treatment. The aim of this study was to define the relative risk of toxico-clinical parameters …

[HTML][HTML] Data infrastructure for a poisoning registry with designing data elements and a minimum data set

A Sabahi, F Asadi, S Shadnia, R Rabiei… - Shiraz E-Medical …, 2022 - brieflands.com
Background: The prevalence of poisoning is on the rise in Iran. A poisoning registry is a key
source of information about poisoning patterns used for decision-making and healthcare …

The trend of top five types of poisonings in hospitalized patients based on ICD‐10 in the northeast of Iran during 2012–2018: A cross‐sectional study

A Banaye Yazdipour, M Moshiri, B Dadpour… - Health science …, 2022 - Wiley Online Library
Abstract Background and Aims Poisoning remains a major health issue in developing
countries with high morbidity and mortality rates; also it is one of the most common causes of …

Acute toxic exposures in Egypt population: analysis of a five-year registry from 2015 to 2019

WG Abdelhamid, MM Wahdan, D Zaafar - Toxicology and Environmental …, 2022 - Springer
Introduction Poisoning is regarded as a significant threat to public health all over the world.
Determining the poisoning trend and its causative agents is essential for developing …