Lawrence N. Shulman

Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer

2019 · 229 Zit. · JAMA Network Open

Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer

2020 · 121 Zit. · JAMA Oncology

Clinician perspectives on machine learning prognostic algorithms in the routine care of patients with cancer: a qualitative study

2022 · 34 Zit. · Supportive Care in Cancer

Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial

2020 · 15 Zit. · Contemporary Clinical Trials

P4.15E.02 Acceptability and Feasibility of Integrating A Chatbot into Routine Lung Cancer Care: Patient and Clinician Perspectives

2024 · 0 Zit. · Journal of Thoracic Oncology

Twenty‐First Century Data Systems: Evolving Cancer Registries to a Learning Health System

2026 · 0 Zit. · Learning Health Systems