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

por Pfob, André, Lu, Sheng-Chieh, Sidey-Gibbons, Chris
Publicado 2022

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

por Lu, Sheng-Chieh, Swisher, Christine L., Chung, Caroline, Jaffray, David, Sidey-Gibbons, Chris
Publicado 2023

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

por Xu, Cai, Subbiah, Ishwaria M., Lu, Sheng-Chieh, Pfob, André, Sidey-Gibbons, Chris
Publicado 2022

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

por Lu, Sheng-Chieh, Porter, I., Valderas, J. M., Harrison, C. J., Sidey-Gibbons, Chris
Publicado 2023

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

por Lu, Sheng-Chieh, Xu, Cai, Nguyen, Chandler H, Geng, Yimin, Pfob, André, Sidey-Gibbons, Chris
Publicado 2022

PC7. DEVELOPMENT AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE-DRIVEN MODELS TO PREDICT HERNIA RECURRENCE, SURGICAL COMPLICATIONS, AND 30-DAY READMISSION FOLLOWING ABDOMINAL WALL RECON...

por Hassan, Abbas M., Lu, Sheng-Chieh, Asaad, Malke, Offodile, Anaeze C., Sidey-Gibbons, Christopher, Butler, Charles E.
Publicado 2022

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

por Sidey-Gibbons, Chris J., Sun, Charlotte, Schneider, Amy, Lu, Sheng-Chieh, Lu, Karen, Wright, Alexi, Meyer, Larissa
Publicado 2022

Effectiveness and Minimum Effective Dose of App-Based Mobile Health Interventions for Anxiety and Depression Symptom Reduction: Systematic Review and Meta-Analysis

por Lu, Sheng-Chieh, Xu, Mindy, Wang, Mei, Hardi, Angela, Cheng, Abby L, Chang, Su-Hsin, Yen, Po-Yin
Publicado 2022

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

por George, Renee, Ellis, Benjamin, West, Andrew, Graff, Alex, Weaver, Stephen, Abramowski, Michelle, Brown, Katelin, Kerr, Lauren, Lu, Sheng-Chieh, Swisher, Christine, Sidey-Gibbons, Chris
Publicado 2023

The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis

por Pfob, André, Sidey-Gibbons, Chris, Barr, Richard G., Duda, Volker, Alwafai, Zaher, Balleyguier, Corinne, Clevert, Dirk-André, Fastner, Sarah, Gomez, Christina, Goncalo, Manuela, Gruber, Ines, Hahn, Markus, Hennigs, André, Kapetas, Panagiotis, Lu, Sheng-Chieh, Nees, Juliane, Ohlinger, Ralf, Riedel, Fabian, Rutten, Matthieu, Schaefgen, Benedikt, Schuessler, Maximilian, Stieber, Anne, Togawa, Riku, Tozaki, Mitsuhiro, Wojcinski, Sebastian, Xu, Cai, Rauch, Geraldine, Heil, Joerg, Golatta, Michael
Publicado 2022