OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 18.04.2026, 21:56

Chris Sidey‐Gibbons

165 Arbeiten4.851 Zitationen

Oracle (United States) · US

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

On the importance of interpretable machine learning predictions to inform clinical decision making in oncology

2023 · 86 Zit. · Frontiers in Oncology

Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison

2022 · 82 Zit. · BMC Medical Research Methodology

Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level Accuracy

2017 · 56 Zit. · Journal of Medical Internet Research

Contrast of Digital and Health Literacy Between IT and Health Care Specialists Highlights the Importance of Multidisciplinary Teams for Digital Health—A Pilot Study

2021 · 41 Zit. · JCO Clinical Cancer Informatics

Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning

2020 · 33 Zit. · Journal of Medical Internet Research

The Use of Machine Learning for Predicting Complications of Free-Flap Head and Neck Reconstruction

2023 · 29 Zit. · Annals of Surgical Oncology

Systematic Bias in Medical Algorithms: To Include or Not Include Discriminatory Demographic Information?

2022 · 11 Zit. · JCO Clinical Cancer Informatics

ASO Author Reflections: Enhancing Surgical Decision-Making for Breast Reconstruction—Machine Learning-Driven Prediction of Postoperative Quality of Life

2023 · 1 Zit. · Annals of Surgical Oncology

Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal (Preprint)

2021 · 0 Zit.

Combining natural language processing with patient-reported outcome measures to gain additional insight into scores

2025 · 0 Zit. · Advances in Patient-Reported Outcomes

A systematic evaluation of models predicting short-term mortality for cancer patients to highlight uncertainty about model performance and high risk of bias.

2021 · 0 Zit. · Journal of Clinical Oncology

The use of machine learning for predicating complications of free flap head and neck reconstruction.

2021 · 0 Zit. · Journal of Clinical Oncology