Chris Sidey-Gibbons

Chris Sidey-Gibbons

Harvard University

H-index: 32

North America-United States

About Chris Sidey-Gibbons

Chris Sidey-Gibbons, With an exceptional h-index of 32 and a recent h-index of 27 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Patient reported outcome measures, Quality of life, eHealth, Psychometrics, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ultrasound radiomics features to identify patients with triple‐negative breast cancer: a retrospective, single‐center study

A framework for implementing patient-reported outcomes in clinical care: the PROTEUS-practice guide

Minimally Invasive Breast Biopsy After Neoadjuvant Systemic Treatment to Identify Breast Cancer Patients with Residual Disease for Extended Neoadjuvant Treatment: A New Concept

FACE-Q for Measuring Patient-reported Outcomes after Facial Skin Cancer Surgery: Cross-cultural Validation

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

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

Development and validation of a novel literature-based method to identify disparity-sensitive surgical quality metrics

Towards patient-centered decision-making in breast cancer surgery: machine learning to predict individual patient-reported outcomes at 1-year follow-up

Chris Sidey-Gibbons Information

University

Position

Harvard Medical School

Citations(all)

6075

Citations(since 2020)

5495

Cited By

1937

hIndex(all)

32

hIndex(since 2020)

27

i10Index(all)

64

i10Index(since 2020)

61

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Chris Sidey-Gibbons Skills & Research Interests

Patient reported outcome measures

Quality of life

eHealth

Psychometrics

Machine learning

Top articles of Chris Sidey-Gibbons

Title

Journal

Author(s)

Publication Date

Ultrasound radiomics features to identify patients with triple‐negative breast cancer: a retrospective, single‐center study

Journal of Ultrasound in Medicine

Lie Cai

Chris Sidey‐Gibbons

Juliane Nees

Fabian Riedel

Benedikt Schaefgen

...

2024/3

A framework for implementing patient-reported outcomes in clinical care: the PROTEUS-practice guide

Nature Medicine

Norah L Crossnohere

Nicola Anderson

Judith Baumhauer

Melanie Calvert

Rebecca Esparza

...

2024/4/16

Minimally Invasive Breast Biopsy After Neoadjuvant Systemic Treatment to Identify Breast Cancer Patients with Residual Disease for Extended Neoadjuvant Treatment: A New Concept

Annals of surgical oncology

André Pfob

Lie Cai

Andreas Schneeweiss

Geraldine Rauch

Bettina Thomas

...

2024/2

FACE-Q for Measuring Patient-reported Outcomes after Facial Skin Cancer Surgery: Cross-cultural Validation

Plastic and Reconstructive Surgery–Global Open

Maarten J Ottenhof

Thomas D Dobbs

Inge Veldhuizen

Conrad J Harrison

Michelle Marges

...

2024/4/1

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

Quality of Life Research

Cai Xu

Ishwaria M Subbiah

Sheng-Chieh Lu

André Pfob

Chris Sidey-Gibbons

2023/3

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

Sheng-Chieh Lu

I Porter

JM Valderas

CJ Harrison

Chris Sidey-Gibbons

2023/6/5

Development and validation of a novel literature-based method to identify disparity-sensitive surgical quality metrics

Journal of the American College of Surgeons

Elzerie de Jager

Adele A Levine

Chris J Sidey-Gibbons

N Rhea Udyavar

Charles Liu

...

2023/12/1

Towards patient-centered decision-making in breast cancer surgery: machine learning to predict individual patient-reported outcomes at 1-year follow-up

Annals of surgery

André Pfob

Babak J Mehrara

Jonas A Nelson

Edwin G Wilkins

Andrea L Pusic

...

2023/1/1

The use of machine learning for predicting complications of free-flap head and neck reconstruction

Annals of Surgical Oncology

Andrea Costantino

Bianca Maria Festa

Giuseppe Spriano

Armando De Virgilio

2023/7

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

European Journal of Cancer

Thomas M Deutsch

André Pfob

Katharina Brusniak

Fabian Riedel

Armin Bauer

...

2023/7/1

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

European Radiology

Lie Cai

Chris Sidey-Gibbons

Juliane Nees

Fabian Riedel

Benedikt Schäfgen

...

2023/9/14

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

Sheng-Chieh Lu

Christine L Swisher

Caroline Chung

David Jaffray

Chris Sidey-Gibbons

2023/2/28

Real-time student feedback on the surgical learning environment: use of a mobile application

Journal of Surgical Education

Rachel B Atkinson

Christopher Sidey-Gibbons

Douglas S Smink

Reza Askari

Andrea L Pusic

...

2023/6/1

Enhanced surgical decision-making tools in breast cancer: predicting 2-year postoperative physical, sexual, and psychosocial well-being following mastectomy and breast …

Annals of surgical oncology

Cai Xu

André Pfob

Babak J Mehrara

Peimeng Yin

Jonas A Nelson

...

2023/11

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

JCO Clinical Cancer Informatics

Sheng-Chieh Lu

Mark Knafl

Anastasia Turin

Anaeze C Offodile

Vinod Ravi

...

2023/3

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

Journal of medical Internet research

Conrad Harrison

Inge Apon

Kenny Ardouin

Chris Sidey-Gibbons

Anne Klassen

...

2023/4/27

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

Communications Medicine

Renee George

Benjamin Ellis

Andrew West

Alex Graff

Stephen Weaver

...

2023/6/22

Physical well-being recovery trajectories by reconstruction modality in women undergoing mastectomy and breast reconstruction: Significant predictors and health-related quality …

PloS one

Cai Xu

Peiyi Lu

André Pfob

Andrea L Pusic

Jennifer B Hamill

...

2023/7/28

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

Plastic and Reconstructive Surgery–Global Open

Luke Geoghegan

Jeremy N Rodrigues

Chris J Sidey-Gibbons

Paul HC Stirling

Jane E McEachan

...

2023/1/1

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

Annals of surgical oncology

Cai Xu

André Pfob

Chris Sidey-Gibbons

2023/11

See List of Professors in Chris Sidey-Gibbons University(Harvard University)

Co-Authors

H-index: 103
Peter Bower

Peter Bower

Manchester University

H-index: 88
Kevin Talbot

Kevin Talbot

University of Oxford

H-index: 82
Alan Tennant

Alan Tennant

University of Leeds

H-index: 77
Anne Klassen

Anne Klassen

McMaster University

H-index: 10
Conrad Harrison

Conrad Harrison

University of Oxford

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