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Machine learning in medicine: a practical introduction

BMC medical research methodology, 2019-03, Vol.19 (1), p.64-64, Article 64

2019

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

BMC medical research methodology, 2021-07, Vol.21 (1), p.1-158, Article 158

2021

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Assessing mental health service user and carer involvement in physical health care planning: The development and validation of a new patient-reported experience measure

PloS one, 2019-02, Vol.14 (2), p.e0206507-e0206507

2019

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

Scientific reports, 2022-12, Vol.12 (1), p.21269-21269, Article 21269

2022

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

Quality of life research, 2021-05, Vol.30 (5), p.1523-1524

2021

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

Clinical genetics, 2019-11, Vol.96 (5), p.411-417

2019

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

Journal of medical Internet research, 2021-07, Vol.23 (7), p.e26412-e26412

2021

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

Frontiers in psychiatry, 2019-05, Vol.10, p.284-284

2019

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

BMC medical research methodology, 2022-11, Vol.22 (1), p.1-282, Article 282

2022

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

PLoS medicine, 2022-04, Vol.19 (4), p.e1003954-e1003954

2022

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Ultrasound Radiomics Features to Identify Patients With Triple-Negative Breast Cancer: A Retrospective, Single-Center Study

Journal of ultrasound in medicine, 2024-03, Vol.43 (3), p.467-478

2024

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

Plastic and reconstructive surgery. Global open, 2022-04, Vol.10 (4), p.e4279-e4279

2022

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

Quality of life research, 2022-03, Vol.31 (3), p.917-925

2022

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

Plastic and reconstructive surgery. Global open, 2024-04, Vol.12 (4), p.e5771-e5771

2024

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

Plastic and reconstructive surgery. Global open, 2023-01, Vol.11 (1), p.e4744-e4744

2023

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Deeper Understanding of Appearance in Orofacial Clefts: A Structural Equation Model of the CLEFT-Q Appearance Scales

Plastic and reconstructive surgery. Global open, 2021-09, Vol.9 (9), p.e3806-e3806

2021

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

Frontiers in oncology, 2023-02, Vol.13, p.1129380-1129380

2023

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

Breast (Edinburgh), 2021-12, Vol.60, p.111-122

2021

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Development and Validation of a Novel Literature-Based Method to Identify Disparity-Sensitive Surgical Quality Metrics

Journal of the American College of Surgeons, 2023-12, Vol.237 (6), p.856

2023

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

Aesthetic plastic surgery, 2022-12, Vol.46 (6), p.2769-2780

2022

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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

Journal of medical Internet research, 2023-04, Vol.25 (9), p.e41870-e41870

2023

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

Plastic and reconstructive surgery (1963), 2021-10, Vol.148 (4), p.863

2021

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Computerised adaptive testing accurately predicts CLEFT-Q scores by selecting fewer, more patient-focused questions

Journal of plastic, reconstructive & aesthetic surgery, 2019-11, Vol.72 (11), p.1819-1824

2019

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Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques

PloS one, 2022-08, Vol.17 (8), p.e0272804

2022

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

Journal of plastic, reconstructive & aesthetic surgery, 2022-01, Vol.75 (1), p.33-44

2022

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Machine learning in medicine: a practical introduction

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

Assessing mental health service user and carer involvement in physical health care planning: The development and validation of a new patient-reported experience measure

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

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

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

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

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

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

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

Ultrasound Radiomics Features to Identify Patients With Triple-Negative Breast Cancer: A Retrospective, Single-Center Study

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

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

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

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

Deeper Understanding of Appearance in Orofacial Clefts: A Structural Equation Model of the CLEFT-Q Appearance Scales

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

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

Development and Validation of a Novel Literature-Based Method to Identify Disparity-Sensitive Surgical Quality Metrics

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

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

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

Computerised adaptive testing accurately predicts CLEFT-Q scores by selecting fewer, more patient-focused questions

Short-form adaptive measure of financial toxicity from the Economic Strain and Resilience in Cancer (ENRICh) study: Derivation using modern psychometric techniques

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

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