2021 International Cancer Education Conference Program and Abstracts
Bibliographic record
Abstract
Develop strategies that explore and address health inequities to alleviate cancer disparities.2. Identify and support training, interdisciplinary collaboration, and mentorship opportunities for junior investigators and practitioners to support their development as cancer researchers and educators. 3.Plan and advocate for interdisciplinary programs that promote patientcentered care and equity in diagnosis, prevention, treatment, and survivorship of cancer for patients, their families, communities, and society.Patient, Family, and Public Education 4. Identify and implement innovative and evidence-based cancer education strategies, including culturally, linguistically, and literacy relevant approaches. 5.Discuss creative and effective approaches to incorporating multimedia and technology in cancer education, including in the design, implementation, and evaluation of programs.6. Promote best practices of patient-centered care to improve social, economic and environmental conditions, promote health equity and engage and educate patients, families, and survivors.7. Discuss strategies for integrating culture, spirituality, and social support into cancer education.Global Cancer Education 8. Enhance collaborations to enable participants across the care continuum to foster new discoveries and lead to lowering the global burden of cancer. 9.Identify opportunities to support and promote biomedical, clinical, behavioral, and health services research that is culturally relevant and responsive to the needs of underserved populations.10. Support activities that establish and promote global cancer education initiatives among national and international cancer education organizations.TARGET AUDIENCE Attendees will include oncologists, primary care physicians, surgeons, radiologists, ministries of health, cancer experts (government and association), researchers, nurses, dentists, geneticists, epidemiologists, behavioral scientists, pharmacists, pharmacologists, health/patient educators, patient navigators and community health educators, librarians, social workers, allied and public health professionals, students, and members of patient advocacy groups.Past participants have included attendees from the world's medical centers, cancer care organizations, comprehensive cancer centers, and academic institutions responsible for developing, implementing, and evaluating cancer education curricula, research, and programs.CONFERENCE GOALS ICEC attendees will engage in professional development through educational opportunities, including: & Expert plenary sessions and abstract presentations addressing topics of disparities in cancer care and research, precision medicine, genomics, survivorship, professional education (medical, nursing, and allied health) and global innovations in cancer education.& Skill-based workshops addressing cancer education including grant writing; publishing; utilizing a translator or interpreter; survivorship; health literacy; working with underserved populations; genetics and cancer; palliative care; and more.& Poster presentations featuring over 100 research studies, evidencebased practices in oncology, innovative education programs and quality improvement projects.& Forums focused on ongoing multi-institutional programs on current topics in cancer education including targeted therapies, survivorship, health literacy, social media, professional training and international outreach with disparate populations.& Networking opportunities and scheduled mentorship with international leaders and researchers in cancer education to enable collaborations that address common cancer education challenges and share new and existing resources. ACCREDITATIONSIn support of improving patient care, this activity has been planned and implemented by Amedco LLC and the American Association for Cancer Education.Amedco LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.Physicians: Amedco LLC designates this live and enduring material for a maximum of 22.00 AMA PRA Category 1 Credits TM .Physicians should claim only the credit commensurate with the extent of their participation in the activity.Nurses: Amedco LLC designates this activity for a maximum of 22.00 ANCC contact hours. Certified Health Education Specialists (CHES):
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.252 | 0.067 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".