# JCO Clinical Cancer Informatics

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/jco-clinical-cancer-informatics/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 2473-4276 |
| ISSNs | 2473-4276 |
| OpenAlex ID | https://openalex.org/S4210181501 |
| Publisher | Lippincott Williams & Wilkins |

## Journal papers

- [Effects of the COVID-19 Pandemic on Cancer-Related Patient Encounters](https://scholariq.org/papers/effects-of-the-covid-19-pandemic-on-cancer-related-patient-encounters/)
- [Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing](https://scholariq.org/papers/assessment-of-electronic-health-record-for-cancer-research-and-patient-care/)
- [Impact on Quality of Documentation and Workload of the Introduction of a National Information Standard for Tumor Board Reporting](https://scholariq.org/papers/impact-on-quality-of-documentation-and-workload-of-the-introduction-of-a/)
- [Adjuvant Tyrosine Kinase Inhibitors in Renal Cell Carcinoma: A Concluded Living Systematic Review and Meta-Analysis](https://scholariq.org/papers/adjuvant-tyrosine-kinase-inhibitors-in-renal-cell-carcinoma-a-concluded-living/)
- [Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network](https://scholariq.org/papers/predicting-lung-cancer-survival-using-probabilistic-reclassification-of-tnm/)
- [Identifying Confounders Using Bayesian Networks and Estimating Treatment Effect in Prostate Cancer With Observational Data](https://scholariq.org/papers/identifying-confounders-using-bayesian-networks-and-estimating-treatment-effect/)
- [Estimating Treatment Effect of Adjuvant Chemotherapy in Elderly Patients With Stage III Colon Cancer Using Bayesian Networks](https://scholariq.org/papers/estimating-treatment-effect-of-adjuvant-chemotherapy-in-elderly-patients-with/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.