C. Sidey-Gibbons

M. Rose, Felix Fischer, C. P. Klapproth, 2021, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): a retrospective, international, multicentre analysis.

M. Tozaki, M. Golatta, G. Rauch, 2022, European journal of cancer.

Developing Machine Learning Algorithms to Support Patient-centered, Value-based Carpal Tunnel Decompression Surgery

P. Stirling, J. McEachan, L. Geoghegan, 2022, Plastic and Reconstructive Surgery Global Open.

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

C. Sidey-Gibbons, Sheng-Chieh Lu, A. Pfob, 2022, BMC Medical Research Methodology.

Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data

I. Subbiah, C. Sidey-Gibbons, Sheng-Chieh Lu, 2022, Quality of Life Research.

Towards Patient-centered Decision-making in Breast Cancer Surgery

B. Mehrara, E. Wilkins, A. Pusic, 2021, Annals of surgery.

Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data

Charlotte C. Sun, L. Meyer, I. Subbiah, 2021, Scientific reports.

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

C. Sidey-Gibbons, Cai Xu, Sheng-Chieh Lu, 2021, JMIR medical informatics.

Machine Learning-based Mortality Prediction Models for Cancer Patients Using Electronic Health Record Data: A Systematic Review and Critical Appraisal (Preprint)

C. Sidey-Gibbons, Cai Xu, Sheng-Chieh Lu, 2021 .

The Use of the FACE-Q Aesthetic: A Narrative Review

W. Bramer, R. Hulst, C. Sidey-Gibbons, 2022, Aesthetic Plastic Surgery.

Feasibility and performance of smartphone-based daily micro-surveys among patients recovering from cancer surgery

A. Haynes, J. Onnela, N. Panda, 2021, Quality of Life Research.

Correlation between Financial Toxicity, Quality of Life and Patient Satisfaction in an Insured Population of Breast Cancer Surgical Patients: A Single-Institution Retrospective Study.

Stefanos Boukovalas, D. Baumann, C. Coroneos, 2020, Journal of the American College of Surgeons.

Applying Computerized Adaptive Testing to the FACE-Q Skin Cancer Module: Individualizing Patient-Reported Outcome Measures in Facial Surgery

A. Klassen, R. R. van der Hulst, A. Pusic, 2021, Plastic and reconstructive surgery.

Identification of breast cancer patients with pathologic complete response in the breast after neoadjuvant systemic treatment by an intelligent vacuum-assisted biopsy.

H. Kuerer, M. Golatta, G. Rauch, 2020, European journal of cancer.

Patient-reported outcomes measures used in facial vascularized composite allotransplantation: A systematic literature review.

B. Pomahac, A. Klassen, E. Tsangaris, 2021, Journal of plastic, reconstructive & aesthetic surgery : JPRAS.

Machine learning in medicine: a practical introduction

Jenni A. M. Sidey-Gibbons, Chris J. Sidey-Gibbons, C. Sidey-Gibbons, 2019, BMC Medical Research Methodology.

Use of the Pittsburgh Sleep Quality Index in People With Schizophrenia Spectrum Disorders: A Mixed Methods Study

C. Sidey-Gibbons, Sophie M. Faulkner, 2019, Front. Psychiatry.

Patient-reported Outcome Measures: The FACE-Q Skin Cancer Module: The Dutch Translation and Linguistic Validation

R. R. van der Hulst, A. Pusic, Erica H Lee, 2019, Plastic and reconstructive surgery. Global open.

Deriving an overall appearance domain score by applying bifactor IRT analysis to the BODY-Q appearance scales

A. Klassen, A. Pusic, R. R. van der Hulst, 2019, Quality of Life Research.

Factors Associated with the Development, Progression, and Outcome of Dupuytren Disease Treatment: A Systematic Review

C. Jerosch-Herold, A. Price, J. Rodrigues, 2021, Plastic and reconstructive surgery.

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

M. Hanasono, P. Yu, E. Chang, 2023, Annals of Surgical Oncology.

Reply: Developing Machine Learning Algorithms to Support Patient-centered, Value-based Carpal Tunnel Decompression Surgery

P. Stirling, J. McEachan, L. Geoghegan, 2023, Plastic and reconstructive surgery. Global open.

Intelligent Vacuum-Assisted Biopsy to Identify Breast Cancer Patients With Pathologic Complete Response (ypT0 and ypN0) After Neoadjuvant Systemic Treatment for Omission of Breast and Axillary Surgery

M. Golatta, G. Rauch, J. Heil, 2022, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Machine learning in medicine: a practical introduction to natural language processing

C. Harrison, C. Sidey-Gibbons, 2021, BMC Medical Research Methodology.

Real-Time Student Feedback on the Surgical Learning Environment: Use of a Mobile Application.

D. Smink, Erika L. Rangel, A. Pusic, 2023, Journal of surgical education.

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

D. Jaffray, C. Swisher, C. Sidey-Gibbons, 2023, Frontiers in Oncology.

Novel Machine Learning Approach for the Prediction of Hernia Recurrence, Surgical Complication, and 30-Day Readmission after Abdominal Wall Reconstruction.

Abbas M. Hassan, Jun Liu, C. Butler, 2022, Journal of the American College of Surgeons.

Symptom burden and health-related quality of life in chronic kidney disease: A global systematic review and meta-analysis

Muirne C. S. Paap, A. Slade, D. Kyte, 2022, PLoS medicine.

Machine learning to predict individual patient-reported outcomes at 2-year follow-up for women undergoing cancer-related mastectomy and breast reconstruction (INSPiRED-001)

B. Mehrara, E. Wilkins, A. Pusic, 2021, Breast.

Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment

Stefanos Boukovalas, J. Selber, C. Butler, 2021, JCO clinical cancer informatics.

Effectiveness of routine provision of feedback from patient‐reported outcome measurements for cancer care improvement: a systematic review and meta-analysis

J. Valderas, C. Harrison, C. Sidey-Gibbons, 2023, Journal of Patient-Reported Outcomes.

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

Conrad Harrison, Bao Sheng Loe, Przemysław Lis, 2020, Journal of medical Internet research.

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

B. S. Loe, C. Harrison, C. Sidey-Gibbons, 2020 .

Efficient and precise Ultra-QuickDASH scale measuring lymphedema impact developed using computerized adaptive testing

J. Christensen, M. Schaverien, Joani M. Christensen, 2021, Quality of Life Research.

Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients.

V. Ravi, Anaeze C. Offodile, C. Sidey-Gibbons, 2023, JCO clinical cancer informatics.

Machine learning and patient-reported outcomes for longitudinal monitoring of disease progression in metastatic breast cancer: a multicenter, retrospective analysis.

A. Schneeweiss, M. Wallwiener, A. Hartkopf, 2023, European journal of cancer.

Development of a measure of genome sequencing knowledge for young people: The kids‐KOGS

C. Patch, L. Chitty, S. Sanderson, 2019, Clinical genetics.

The Development, Deployment, and Evaluation of the CLEFT-Q Computerized Adaptive Test: A Multimethods Approach Contributing to Personalized, Person-Centered Health Assessments in Plastic Surgery

M. Koudstaal, A. Allori, I. Apon, 2023, Journal of medical Internet research.

Recursive Partitioning vs Computerized Adaptive Testing to Reduce the Burden of Health Assessments in Cleft Lip and/or Palate: Comparative Simulation Study

Conrad J Harrison, Chris J Sidey-Gibbons, Anne F Klassen, 2020, Journal of medical Internet research.

Computerized Quality of Life Assessment: A Randomized Experiment to Determine the Impact of Individualized Feedback on Assessment Experience (Preprint)

A. Pusic, R. R. van der Hulst, C. Sidey-Gibbons, 2018 .

Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?

M. Golatta, J. Nees, F. Riedel, 2023, European radiology.

Ultrasound Radiomics Features to Identify Patients With Triple‐Negative Breast Cancer

M. Golatta, J. Nees, F. Riedel, 2023, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting

C. Swisher, C. Sidey-Gibbons, Sheng-Chieh Lu, 2023, Communications medicine.