Crossref

1. A machine learning approach to personalized predictors of dyslipidemia: a cohort study

- Guadalupe Gutiérrez-Esparza

- Tomas Pulido

- Mireya Martínez-García

- Tania Ramírez-delReal

- Lucero E. Groves-Miralrio

- Manlio F. Márquez-Murillo

- Luis M. Amezcua-Guerra

- Gilberto Vargas-Alarcón

- Enrique Hernández-Lemus

2. Predicting Type 2 diabetes onset age using machine learning: A case study in KSA

- Faten Al-hussein

- Laleh Tafakori

- Mali Abdollahian

- Khalid Al-Shali

- Ahmed Al-Hejin

- Salim Heddam

3. Investigating the association of acute kidney injury (AKI) with COVID-19 mortality using data-mining scheme

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- Mahdieh Farhanji

- Farhang Shapouran

- Arghavan Zal

- Zahra Taheri

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- Nasrin Talkhi

4. Comparing the Min–Max–Median/IQR Approach with the Min–Max Approach, Logistic Regression and XGBoost, Maximising the Youden Index

- Rocío Aznar-Gimeno

- Luis M. Esteban

- Gerardo Sanz

- Rafael del-Hoyo-Alonso

5. The potential use of nanozyme in aging and age‐related diseases

- Amirsasan Gorgzadeh

- Paria Arab Amiri

- Saman Yasamineh

- Basim Kareem Naser

- Khairia abdulrahman abdulallah

6. Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses

- Reza Afrisham

- Yasaman Jadidi

- Nariman Moradi

- Seyed Mohammad Ayyoubzadeh

- Reza Fadaei

- Omid Kiani Ghalesardi

- Vida Farrokhi

- Shaban Alizadeh