Detalhe da pesquisa
1.
Predicting post-discharge cancer surgery complications via telemonitoring of patient-reported outcomes and patient-generated health data.
J Surg Oncol
; 123(5): 1345-1352, 2021 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-33621378
2.
Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning.
J Surg Oncol
; 123(1): 52-60, 2021 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-32974930
3.
Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major Operations.
JCO Clin Cancer Inform
; 8: e2300247, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38648576
4.
Prospective Comparison of Medical Oncologists and a Machine Learning Model to Predict 3-Month Mortality in Patients With Metastatic Solid Tumors.
JAMA Netw Open
; 5(5): e2214514, 2022 05 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-35639380
5.
Explainable Tree-Based Predictions for Unplanned 30-Day Readmission of Patients With Cancer Using Clinical Embeddings.
JCO Clin Cancer Inform
; 5: 155-167, 2021 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33539176