164 related articles for article (PubMed ID: 36980739)
1. Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning.
Benedum CM; Sondhi A; Fidyk E; Cohen AB; Nemeth S; Adamson B; Estévez M; Bozkurt S
Cancers (Basel); 2023 Mar; 15(6):. PubMed ID: 36980739
[TBL] [Abstract][Full Text] [Related]
2. Approach to machine learning for extraction of real-world data variables from electronic health records.
Adamson B; Waskom M; Blarre A; Kelly J; Krismer K; Nemeth S; Gippetti J; Ritten J; Harrison K; Ho G; Linzmayer R; Bansal T; Wilkinson S; Amster G; Estola E; Benedum CM; Fidyk E; Estévez M; Shapiro W; Cohen AB
Front Pharmacol; 2023; 14():1180962. PubMed ID: 37781703
[No Abstract] [Full Text] [Related]
3. Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework.
Estevez M; Benedum CM; Jiang C; Cohen AB; Phadke S; Sarkar S; Bozkurt S
Cancers (Basel); 2022 Jun; 14(13):. PubMed ID: 35804834
[TBL] [Abstract][Full Text] [Related]
4. Automating Access to Real-World Evidence.
Gauthier MP; Law JH; Le LW; Li JJN; Zahir S; Nirmalakumar S; Sung M; Pettengell C; Aviv S; Chu R; Sacher A; Liu G; Bradbury P; Shepherd FA; Leighl NB
JTO Clin Res Rep; 2022 Jun; 3(6):100340. PubMed ID: 35719866
[TBL] [Abstract][Full Text] [Related]
5. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
6. Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records.
Riskin D; Cady R; Shroff A; Hindiyeh NA; Smith T; Kymes S
BMC Med Inform Decis Mak; 2023 Jul; 23(1):121. PubMed ID: 37452338
[TBL] [Abstract][Full Text] [Related]
7. Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.
Hernandez-Boussard T; Monda KL; Crespo BC; Riskin D
J Am Med Inform Assoc; 2019 Nov; 26(11):1189-1194. PubMed ID: 31414700
[TBL] [Abstract][Full Text] [Related]
8. Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness.
Zhao Y; Weroha SJ; Goode EL; Liu H; Wang C
BMC Med Inform Decis Mak; 2021 Jan; 21(1):3. PubMed ID: 33407429
[TBL] [Abstract][Full Text] [Related]
9. Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies.
Hou J; Zhao R; Gronsbell J; Lin Y; Bonzel CL; Zeng Q; Zhang S; Beaulieu-Jones BK; Weber GM; Jemielita T; Wan SS; Hong C; Cai T; Wen J; Ayakulangara Panickan V; Liaw KL; Liao K; Cai T
J Med Internet Res; 2023 May; 25():e45662. PubMed ID: 37227772
[TBL] [Abstract][Full Text] [Related]
10. Contemporary Databases in Real-world Studies Regarding the Diverse Health Care Systems of India, Thailand, and Taiwan: Protocol for a Scoping Review.
Shau WY; Setia S; Shinde SP; Santoso H; Furtner D
JMIR Res Protoc; 2022 Dec; 11(12):e43741. PubMed ID: 36512386
[TBL] [Abstract][Full Text] [Related]
11. Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.
Ribelles N; Jerez JM; Rodriguez-Brazzarola P; Jimenez B; Diaz-Redondo T; Mesa H; Marquez A; Sanchez-Muñoz A; Pajares B; Carabantes F; Bermejo MJ; Villar E; Dominguez-Recio ME; Saez E; Galvez L; Godoy A; Franco L; Ruiz-Medina S; Lopez I; Alba E
Eur J Cancer; 2021 Feb; 144():224-231. PubMed ID: 33373867
[TBL] [Abstract][Full Text] [Related]
12. From real-world electronic health record data to real-world results using artificial intelligence.
Knevel R; Liao KP
Ann Rheum Dis; 2023 Mar; 82(3):306-311. PubMed ID: 36150748
[TBL] [Abstract][Full Text] [Related]
13. A method for cohort selection of cardiovascular disease records from an electronic health record system.
Abrahão MTF; Nobre MRC; Gutierrez MA
Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
[TBL] [Abstract][Full Text] [Related]
14. Postprediction Inference for Clinical Characteristics Extracted With Machine Learning on Electronic Health Records.
Sondhi A; Rich AS; Wang S; Leek JT
JCO Clin Cancer Inform; 2023 May; 7():e2200174. PubMed ID: 37159871
[TBL] [Abstract][Full Text] [Related]
15. Assessment of a Clinical Trial-Derived Survival Model in Patients With Metastatic Castration-Resistant Prostate Cancer.
Coquet J; Bievre N; Billaut V; Seneviratne M; Magnani CJ; Bozkurt S; Brooks JD; Hernandez-Boussard T
JAMA Netw Open; 2021 Jan; 4(1):e2031730. PubMed ID: 33481032
[TBL] [Abstract][Full Text] [Related]
16. Cohort profile: St. Michael's Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing.
Landsman D; Abdelbasit A; Wang C; Guerzhoy M; Joshi U; Mathew S; Pou-Prom C; Dai D; Pequegnat V; Murray J; Chokar K; Banning M; Mamdani M; Mishra S; Batt J
PLoS One; 2021; 16(3):e0247872. PubMed ID: 33657184
[TBL] [Abstract][Full Text] [Related]
17. Assessing stroke severity using electronic health record data: a machine learning approach.
Kogan E; Twyman K; Heap J; Milentijevic D; Lin JH; Alberts M
BMC Med Inform Decis Mak; 2020 Jan; 20(1):8. PubMed ID: 31914991
[TBL] [Abstract][Full Text] [Related]
18. Raising the Bar for Real-World Data in Oncology: Approaches to Quality Across Multiple Dimensions.
Castellanos EH; Wittmershaus BK; Chandwani S
JCO Clin Cancer Inform; 2024 Jan; 8():e2300046. PubMed ID: 38241599
[TBL] [Abstract][Full Text] [Related]
19. Bridging the divide between clinical research and clinical care in oncology: An integrated real-world evidence generation platform.
Bourla AB; Meropol NJ
Digit Health; 2021; 7():20552076211059975. PubMed ID: 34868623
[TBL] [Abstract][Full Text] [Related]
20. NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data.
Patel R; Wee SN; Ramaswamy R; Thadani S; Tandi J; Garg R; Calvanese N; Valko M; Rush AJ; Rentería ME; Sarkar J; Kollins SH
BMJ Open; 2022 Apr; 12(4):e057227. PubMed ID: 35459671
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
