ESDR116 - Comparison of machine learning and logistic regression models in predicting psoriasis treatment outcome: A scoping review

Wei Yann Haw; Amaani B Hussain; Nick J. Reynolds; Christopher Em Griffiths; Niels Peek; Richard B. Warren

doi:10.26226/m.62fa0091165d7b0019592ad6

Back

ESDR116 - Comparison of machine learning and logistic regression models in predicting psoriasis treatment outcome: A scoping review

Article 2022 en

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2023

Comparing forecasting models for predicting nursery mortality under field conditions using regression and machine learning algorithms

Edison Magalhaes, Danyang Zhang, Chong Wang, Pete Thomas, Cesar A. A. Moura, Giovani Trevisan, Derald Holtkamp, Christopher Rademacher, Gustavo S Silva, Daniel Linhares

Article2025

Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis

Masoumeh Vali, Hossein Motahari-Nezhad, Levente Kovács, Amir Gandomi

BMC Medical Informatics and Decision Making

Article2026

Predicting fracture energy and durability parameters of concrete through hybrid machine learning models

Assa Rezzoug, Mounir Ltifi, Raid S. Alrashidi, Ali Alateah

Article2021

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

Panagiotis Asteris, Athanasia D. Skentou, Abidhan Bardhan, Pijush Samui, Kypros Pilakoutas

Article2025

Machine Learning for Predicting Fiber-Reinforced Polymer Durability: A Critical Review and Future Directions

Zhi-Hao Hao, Peng Feng, Shaojie Zhang, Y. C. Zhai

Composites Part B Engineering