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10 resultsUpdated October 30, 2026

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The predictive model for COVID-19 pandemic plastic pollution by using deep learning method

Scientific Reports 13(1) (2023)

Yaser Ahangari Nanehkaran; Zhu Licai; Mohammad Azarafza; Sona Talaei; Xu Jinxia; Junde Chen; Reza Derakhshani

Screening ovarian cancer by using risk factors: machine learning assists

BioMedical Engineering OnLine 23(1) (2024)

Raoof Nopour

Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features

Scientific Reports 13(1) (2023)

Siavash Shirzadeh Barough; Seyed Amir Ahmad Safavi‐Naini; Fatemeh Siavoshi; Atena Tamimi; Saba Ilkhani; Setareh Akbari; Sadaf Ezzati; Hamidreza Hatamabadi; Mohamad Amin Pourhoseingholi

Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study

Scientific Reports 13(1) (2023)

Franca Dipaola; Mauro Gatti; Alessandro Giaj Levra; Roberto Menè; Dana Shiffer; Roberto Faccincani; Zainab Raouf; Antonio Secchi; Patrizia Querini Rovere; Antonio Voza; Salvatore Badalamenti; Monica Solbiati; Giorgio Costantino; Victor Savevski; Raffaello Furlan

The predictive power of data: machine learning analysis for Covid-19 mortality based on personal, clinical, preclinical, and laboratory variables in a case–control study

BMC Infectious Diseases 24(1) (2024)

Maryam Seyedtabib; Roya Najafi‐Vosough; Naser Kamyari

OpenAlex

The predictive model for COVID-19 pandemic plastic pollution by using deep learning method

Screening ovarian cancer by using risk factors: machine learning assists

Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features

Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study

The predictive power of data: machine learning analysis for Covid-19 mortality based on personal, clinical, preclinical, and laboratory variables in a case–control study

Predicting Mortality in Hospitalized COVID‐19 Patients in Zambia: An Application of Machine Learning

The Potential Use of Digital Health in Iran: A Systematic Mapping Review

Mobile health applications for parents of children with Hirschsprung disease: a requirement analysis

AS CATEGORIAS DE INCERTEZAS NA INTELIGÊNCIA ARTIFICIAL EM HOSPITAIS: UMA REVISÃO DE LITERATURA

Machine learning models for predicting neonatal bacterial infections: a retrospective cohort study