An Electronic Health Record Text Mining Tool to Collect Real-World Drug Treatment Outcomes: A Validation Study in Patients With Metastatic Renal Cell Carcinoma.

van Laar, Sylvia A; Gombert-Handoko, Kim B; Guchelaar, Henk-Jan; Zwaveling, Juliëtte

van Laar, Sylvia A; Gombert-Handoko, Kim B; Guchelaar, Henk-Jan; Zwaveling, Juliëtte.

Affiliation

van Laar SA; Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.
Gombert-Handoko KB; Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.
Guchelaar HJ; Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.
Zwaveling J; Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.

Clin Pharmacol Ther ; 108(3): 644-652, 2020 09.

Article in En | MEDLINE | ID: mdl-32575147

Subject(s)

Antineoplastic Agents/therapeutic use; Carcinoma, Renal Cell/drug therapy; Data Mining; Electronic Health Records; Kidney Neoplasms/drug therapy; Aged; Antineoplastic Agents/adverse effects; Carcinoma, Renal Cell/mortality; Carcinoma, Renal Cell/secondary; Data Collection; Female; Humans; Kidney Neoplasms/mortality; Kidney Neoplasms/pathology; Male; Natural Language Processing; Progression-Free Survival; Reproducibility of Results; Retrospective Studies; Software; Time Factors

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Renal Cell / Electronic Health Records / Data Mining / Kidney Neoplasms / Antineoplastic Agents Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Aged / Female / Humans / Male Language: En Journal: Clin Pharmacol Ther Year: 2020 Type: Article Affiliation country: Netherlands

Fulltext

XML

PubMed Links

Search on Google