default author photo

Jin-ah Sim

St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control

262 Danny Thomas Place

Memphis, TN 38105

United States

SCHOLARLY PAPERS

2

DOWNLOADS

228

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

Network Analysis of Symptoms and Co-Morbidity of Patients with Early-Onset Colorectal Cancer: Comparison with Late-Onset Colorectal Cancer

Number of pages: 29 Posted: 21 Oct 2024
Hallym University, Seoul National University, Seoul National University - Department of Biomedical Science, Chungbuk National University, Seoul National University - Department of Preventive Medicine, Seoul National University - Seoul National University Hospital, Seoul National University, Seoul National University, Seoul National University, Seoul Metropolitan Boramae Hospital - Department of Surgery, St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control and Seoul National University - Seoul National University Hospital
Downloads 126 (572,948)

Abstract:

Loading...

Colorectal cancer, Symptoms, Network analysis, Early-onset, Late-onset

2.

Novel Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes

Number of pages: 40 Posted: 09 Dec 2020
St Jude Children’s Research Hospital - Department of Biostatistics, St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control, Children's Hospital of Philadelphia - Department of Pediatrics, St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control, St Jude Children’s Research Hospital - Department of Biostatistics, St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital - Department of Oncology and St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control
Downloads 102 (679,608)
Citation 1

Abstract:

Loading...

Fatigue; Machine Learning; Natural Language Processing; Pain; Patient-Reported Outcomes; Pediatric Cancer Survivors; Symptoms