Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 81 entries
Sorted by: Best Match Show Resources per page
Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records.

JCO clinical cancer informatics

Gregg JR, Lang M, Wang LL, Resnick MJ, Jain SK, Warner JL, Barocas DA.
PMID: 29541700
JCO Clin Cancer Inform. 2017;1. doi: 10.1200/CCI.16.00045. Epub 2017 Jun 08.

PURPOSE: Risk stratification underlies system-wide efforts to promote the delivery of appropriate prostate cancer care. Although the elements of risk stratum are available in the electronic medical record, manual data collection is resource intensive. Therefore, we investigated the feasibility...

Cite
Gregg JR, Lang M, Wang LL, et al. Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records. JCO Clin Cancer Inform. 2017;1doi: 10.1200/CCI.16.00045.
Gregg, J. R., Lang, M., Wang, L. L., Resnick, M. J., Jain, S. K., Warner, J. L., & Barocas, D. A. (2017). Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records. JCO clinical cancer informatics, 1. https://doi.org/10.1200/CCI.16.00045
Gregg, Justin R, et al. "Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records." JCO clinical cancer informatics vol. 1 (2017). doi: https://doi.org/10.1200/CCI.16.00045
Gregg JR, Lang M, Wang LL, Resnick MJ, Jain SK, Warner JL, Barocas DA. Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records. JCO Clin Cancer Inform. 2017;1. doi: 10.1200/CCI.16.00045. Epub 2017 Jun 08. PMID: 29541700; PMCID: PMC5847303.
Copy Download .nbib Format: NLM
Status of Lung Cancer Data Collection in Europe.

JCO clinical cancer informatics

Rich A, Beckett P, Baldwin D.
PMID: 30652540
JCO Clin Cancer Inform. 2018 Dec;2:1-12. doi: 10.1200/CCI.17.00052.

No abstract available.

Cite
Rich A, Beckett P, Baldwin D. Status of Lung Cancer Data Collection in Europe. JCO Clin Cancer Inform. 2018;2:1-12doi: 10.1200/CCI.17.00052.
Rich, A., Beckett, P., & Baldwin, D. (2018). Status of Lung Cancer Data Collection in Europe. JCO clinical cancer informatics, 21-12. https://doi.org/10.1200/CCI.17.00052
Rich, Anna, et al. "Status of Lung Cancer Data Collection in Europe." JCO clinical cancer informatics vol. 2 (2018): 1-12. doi: https://doi.org/10.1200/CCI.17.00052
Rich A, Beckett P, Baldwin D. Status of Lung Cancer Data Collection in Europe. JCO Clin Cancer Inform. 2018 Dec;2:1-12. doi: 10.1200/CCI.17.00052. PMID: 30652540.
Copy Download .nbib Format: NLM
Solving the Malady of Financial Toxicity Using Augmented Intelligence.

JCO clinical cancer informatics

Bhattacharyya GS, Bothra SJ, Malhotra H, Govindbabu K.
PMID: 33764815
JCO Clin Cancer Inform. 2021 Mar;5:348-352. doi: 10.1200/CCI.20.00155.

No abstract available.

Cite
Bhattacharyya GS, Bothra SJ, Malhotra H, et al. Solving the Malady of Financial Toxicity Using Augmented Intelligence. JCO Clin Cancer Inform. 2021;5:348-352doi: 10.1200/CCI.20.00155.
Bhattacharyya, G. S., Bothra, S. J., Malhotra, H., & Govindbabu, K. (2021). Solving the Malady of Financial Toxicity Using Augmented Intelligence. JCO clinical cancer informatics, 5348-352. https://doi.org/10.1200/CCI.20.00155
Bhattacharyya, Gouri Shankar, et al. "Solving the Malady of Financial Toxicity Using Augmented Intelligence." JCO clinical cancer informatics vol. 5 (2021): 348-352. doi: https://doi.org/10.1200/CCI.20.00155
Bhattacharyya GS, Bothra SJ, Malhotra H, Govindbabu K. Solving the Malady of Financial Toxicity Using Augmented Intelligence. JCO Clin Cancer Inform. 2021 Mar;5:348-352. doi: 10.1200/CCI.20.00155. PMID: 33764815.
Copy Download .nbib Format: NLM
Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy.

JCO clinical cancer informatics

Wood NM, Davis S, Lewing K, Noel-MacDonnell J, Glynn EF, Caragea D, Hoffman MA.
PMID: 33656914
JCO Clin Cancer Inform. 2021 Mar;5:239-251. doi: 10.1200/CCI.20.00144.

PURPOSE: Children with acute lymphoblastic leukemia (ALL) are treated according to risk-based protocols defined by the Children's Oncology Group (COG). Alignment between real-world clinical practice and protocol milestones is not widely understood. Aggregate deidentified electronic health record (EHR) data...

Cite
Wood NM, Davis S, Lewing K, et al. Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy. JCO Clin Cancer Inform. 2021;5:239-251doi: 10.1200/CCI.20.00144.
Wood, N. M., Davis, S., Lewing, K., Noel-MacDonnell, J., Glynn, E. F., Caragea, D., & Hoffman, M. A. (2021). Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy. JCO clinical cancer informatics, 5239-251. https://doi.org/10.1200/CCI.20.00144
Wood, Nicole M, et al. "Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy." JCO clinical cancer informatics vol. 5 (2021): 239-251. doi: https://doi.org/10.1200/CCI.20.00144
Wood NM, Davis S, Lewing K, Noel-MacDonnell J, Glynn EF, Caragea D, Hoffman MA. Aligning EHR Data for Pediatric Leukemia With Standard Protocol Therapy. JCO Clin Cancer Inform. 2021 Mar;5:239-251. doi: 10.1200/CCI.20.00144. PMID: 33656914; PMCID: PMC8140784.
Copy Download .nbib Format: NLM
Reply to J. Chen et al.

JCO clinical cancer informatics

Osterman TJ, Terry M, Miller RS.
PMID: 33683921
JCO Clin Cancer Inform. 2021 Mar;5:254-255. doi: 10.1200/CCI.21.00014.

No abstract available.

Cite
Osterman TJ, Terry M, Miller RS. Reply to J. Chen et al. JCO Clin Cancer Inform. 2021;5:254-255doi: 10.1200/CCI.21.00014.
Osterman, T. J., Terry, M., & Miller, R. S. (2021). Reply to J. Chen et al. JCO clinical cancer informatics, 5254-255. https://doi.org/10.1200/CCI.21.00014
Osterman, Travis J, et al. "Reply to J. Chen et al." JCO clinical cancer informatics vol. 5 (2021): 254-255. doi: https://doi.org/10.1200/CCI.21.00014
Osterman TJ, Terry M, Miller RS. Reply to J. Chen et al. JCO Clin Cancer Inform. 2021 Mar;5:254-255. doi: 10.1200/CCI.21.00014. PMID: 33683921.
Copy Download .nbib Format: NLM
Patient-Reported Outcomes Integrated Within an Electronic Medical Record in Patients With Head and Neck Cancer.

JCO clinical cancer informatics

Ossowski S, Kammerer A, Stram D, Piazza-DeLap L, Basch E, Katzel JA.
PMID: 34406801
JCO Clin Cancer Inform. 2021 Aug;5:842-848. doi: 10.1200/CCI.21.00058.

PURPOSE: Patient-reported outcome (PRO) tools lead to clinical benefits, including improved overall survival for patients with cancer. However, routine implementation of PROs in clinical practice within the electronic medical record (EMR) by integrated health care delivery systems remains limited....

Cite
Ossowski S, Kammerer A, Stram D, et al. Patient-Reported Outcomes Integrated Within an Electronic Medical Record in Patients With Head and Neck Cancer. JCO Clin Cancer Inform. 2021;5:842-848doi: 10.1200/CCI.21.00058.
Ossowski, S., Kammerer, A., Stram, D., Piazza-DeLap, L., Basch, E., & Katzel, J. A. (2021). Patient-Reported Outcomes Integrated Within an Electronic Medical Record in Patients With Head and Neck Cancer. JCO clinical cancer informatics, 5842-848. https://doi.org/10.1200/CCI.21.00058
Ossowski, Stephanie, et al. "Patient-Reported Outcomes Integrated Within an Electronic Medical Record in Patients With Head and Neck Cancer." JCO clinical cancer informatics vol. 5 (2021): 842-848. doi: https://doi.org/10.1200/CCI.21.00058
Ossowski S, Kammerer A, Stram D, Piazza-DeLap L, Basch E, Katzel JA. Patient-Reported Outcomes Integrated Within an Electronic Medical Record in Patients With Head and Neck Cancer. JCO Clin Cancer Inform. 2021 Aug;5:842-848. doi: 10.1200/CCI.21.00058. PMID: 34406801.
Copy Download .nbib Format: NLM
Natural Language Processing-Assisted Literature Retrieval and Analysis for Combination Therapy in Cancer.

JCO clinical cancer informatics

Zeng J, Cruz-Pico CX, Saridogan T, Shufean MA, Kahle M, Yang D, Shaw K, Meric-Bernstam F.
PMID: 34990212
JCO Clin Cancer Inform. 2022 Jan;6:e2100109. doi: 10.1200/CCI.21.00109.

PURPOSE: Despite advances in molecular therapeutics, few anticancer agents achieve durable responses. Rational combinations using two or more anticancer drugs have the potential to achieve a synergistic effect and overcome drug resistance, enhancing antitumor efficacy. A publicly accessible biomedical...

Cite
Zeng J, Cruz-Pico CX, Saridogan T, et al. Natural Language Processing-Assisted Literature Retrieval and Analysis for Combination Therapy in Cancer. JCO Clin Cancer Inform. 2022;6:e2100109doi: 10.1200/CCI.21.00109.
Zeng, J., Cruz-Pico, C. X., Saridogan, T., Shufean, M. A., Kahle, M., Yang, D., Shaw, K., & Meric-Bernstam, F. (2022). Natural Language Processing-Assisted Literature Retrieval and Analysis for Combination Therapy in Cancer. JCO clinical cancer informatics, 6e2100109. https://doi.org/10.1200/CCI.21.00109
Zeng, Jia, et al. "Natural Language Processing-Assisted Literature Retrieval and Analysis for Combination Therapy in Cancer." JCO clinical cancer informatics vol. 6 (2022): e2100109. doi: https://doi.org/10.1200/CCI.21.00109
Zeng J, Cruz-Pico CX, Saridogan T, Shufean MA, Kahle M, Yang D, Shaw K, Meric-Bernstam F. Natural Language Processing-Assisted Literature Retrieval and Analysis for Combination Therapy in Cancer. JCO Clin Cancer Inform. 2022 Jan;6:e2100109. doi: 10.1200/CCI.21.00109. PMID: 34990212.
Copy Download .nbib Format: NLM
Cancer Data Science and Computational Medicine.

JCO clinical cancer informatics

Yu P, Kibbe W.
PMID: 33950710
JCO Clin Cancer Inform. 2021 May;5:487-489. doi: 10.1200/CCI.21.00006.

No abstract available.

Cite
Yu P, Kibbe W. Cancer Data Science and Computational Medicine. JCO Clin Cancer Inform. 2021;5:487-489doi: 10.1200/CCI.21.00006.
Yu, P., & Kibbe, W. (2021). Cancer Data Science and Computational Medicine. JCO clinical cancer informatics, 5487-489. https://doi.org/10.1200/CCI.21.00006
Yu, Peter, and Kibbe, Warren. "Cancer Data Science and Computational Medicine." JCO clinical cancer informatics vol. 5 (2021): 487-489. doi: https://doi.org/10.1200/CCI.21.00006
Yu P, Kibbe W. Cancer Data Science and Computational Medicine. JCO Clin Cancer Inform. 2021 May;5:487-489. doi: 10.1200/CCI.21.00006. PMID: 33950710.
Copy Download .nbib Format: NLM
Accounting for All Patients in Waterfall Plots.

JCO clinical cancer informatics

Moon J, LeBlanc M, Othus M.
PMID: 33830787
JCO Clin Cancer Inform. 2021 Apr;5:414-420. doi: 10.1200/CCI.20.00150.

No abstract available.

Cite
Moon J, LeBlanc M, Othus M. Accounting for All Patients in Waterfall Plots. JCO Clin Cancer Inform. 2021;5:414-420doi: 10.1200/CCI.20.00150.
Moon, J., LeBlanc, M., & Othus, M. (2021). Accounting for All Patients in Waterfall Plots. JCO clinical cancer informatics, 5414-420. https://doi.org/10.1200/CCI.20.00150
Moon, James, et al. "Accounting for All Patients in Waterfall Plots." JCO clinical cancer informatics vol. 5 (2021): 414-420. doi: https://doi.org/10.1200/CCI.20.00150
Moon J, LeBlanc M, Othus M. Accounting for All Patients in Waterfall Plots. JCO Clin Cancer Inform. 2021 Apr;5:414-420. doi: 10.1200/CCI.20.00150. PMID: 33830787; PMCID: PMC8240789.
Copy Download .nbib Format: NLM
CancerLinQ: Origins, Implementation, and Future Directions.

JCO clinical cancer informatics

Rubinstein SM, Warner JL.
PMID: 30652539
JCO Clin Cancer Inform. 2018 Dec;2:1-7. doi: 10.1200/CCI.17.00060.

Rapid-learning health systems have been proposed as a potential solution to the problem of quality in medicine, by leveraging data generated from electronic health systems in near-real time to improve quality and reduce cost. Given the complex, dynamic nature...

Cite
Rubinstein SM, Warner JL. CancerLinQ: Origins, Implementation, and Future Directions. JCO Clin Cancer Inform. 2018;2:1-7doi: 10.1200/CCI.17.00060.
Rubinstein, S. M., & Warner, J. L. (2018). CancerLinQ: Origins, Implementation, and Future Directions. JCO clinical cancer informatics, 21-7. https://doi.org/10.1200/CCI.17.00060
Rubinstein, Samuel M, and Warner, Jeremy L. "CancerLinQ: Origins, Implementation, and Future Directions." JCO clinical cancer informatics vol. 2 (2018): 1-7. doi: https://doi.org/10.1200/CCI.17.00060
Rubinstein SM, Warner JL. CancerLinQ: Origins, Implementation, and Future Directions. JCO Clin Cancer Inform. 2018 Dec;2:1-7. doi: 10.1200/CCI.17.00060. PMID: 30652539.
Copy Download .nbib Format: NLM
Development of a Precise, Clinically Relevant, Digital Classification Schema for Cancer.

JCO clinical cancer informatics

Pecora AL, Norden AD, Hervey J, Schultz EV, Gallucci TL, Rushforth E, Goldberg SL.
PMID: 30652606
JCO Clin Cancer Inform. 2018 Dec;2:1-10. doi: 10.1200/CCI.18.00006.

PURPOSE: Health care transactions depend on the efficiency of digital codes. The International Classification of Diseases and Related Health Problems (ICD) coding system, which is the most commonly used digital system, fails to capture the complexity of oncologic diseases....

Cite
Pecora AL, Norden AD, Hervey J, et al. Development of a Precise, Clinically Relevant, Digital Classification Schema for Cancer. JCO Clin Cancer Inform. 2018;2:1-10doi: 10.1200/CCI.18.00006.
Pecora, A. L., Norden, A. D., Hervey, J., Schultz, E. V., Gallucci, T. L., Rushforth, E., & Goldberg, S. L. (2018). Development of a Precise, Clinically Relevant, Digital Classification Schema for Cancer. JCO clinical cancer informatics, 21-10. https://doi.org/10.1200/CCI.18.00006
Pecora, Andrew L, et al. "Development of a Precise, Clinically Relevant, Digital Classification Schema for Cancer." JCO clinical cancer informatics vol. 2 (2018): 1-10. doi: https://doi.org/10.1200/CCI.18.00006
Pecora AL, Norden AD, Hervey J, Schultz EV, Gallucci TL, Rushforth E, Goldberg SL. Development of a Precise, Clinically Relevant, Digital Classification Schema for Cancer. JCO Clin Cancer Inform. 2018 Dec;2:1-10. doi: 10.1200/CCI.18.00006. PMID: 30652606.
Copy Download .nbib Format: NLM
When Predictive Models Collide.

JCO clinical cancer informatics

Stetson PD, Cantor MN, Gonen M.
PMID: 32543898
JCO Clin Cancer Inform. 2020 Jun;4:547-550. doi: 10.1200/CCI.20.00024.

No abstract available.

Cite
Stetson PD, Cantor MN, Gonen M. When Predictive Models Collide. JCO Clin Cancer Inform. 2020;4:547-550doi: 10.1200/CCI.20.00024.
Stetson, P. D., Cantor, M. N., & Gonen, M. (2020). When Predictive Models Collide. JCO clinical cancer informatics, 4547-550. https://doi.org/10.1200/CCI.20.00024
Stetson, Peter D, et al. "When Predictive Models Collide." JCO clinical cancer informatics vol. 4 (2020): 547-550. doi: https://doi.org/10.1200/CCI.20.00024
Stetson PD, Cantor MN, Gonen M. When Predictive Models Collide. JCO Clin Cancer Inform. 2020 Jun;4:547-550. doi: 10.1200/CCI.20.00024. PMID: 32543898; PMCID: PMC8462634.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 81 entries