News.Health.005 News.Health.005
Context
Introduction
Esophageal cancer treatment outcomes remain a major challenge in oncology, with perioperative chemotherapy showing promise in improving survival rates.Role
The learner takes on the role of a Clinical Data Scientist within a healthcare research organization. Their responsibilities include analyzing patient data to identify factors influencing treatment efficacy and survival, supporting oncologists in tailoring therapy strategies.Business Objectives
The primary task is to develop analytical models that predict patient response to perioperative chemotherapy and identify key prognostic indicatorsProducts
The deliverables include a predictive model estimating treatment response likelihood, a risk stratification report summarizing patient prognoses, and a visualization dashboard aiding clinicians in exploring treatment impact across patient subgroups.Codebook
patient_barcode, patient_id, gender, age_began_smoking_in_years, stopped_smoking_year, number_pack_years_smoked, alcohol_history_documented, reflux_history, barretts_esophagus, history_of_esophageal_cancer, vital_status, days_to_death, stage_event_clinical_stage, stage_event_pathologic_stage, stage_event_tnm_categories, primary_pathology_tumor_tissue_site, primary_pathology_histological_type, primary_pathology_neoplasm_histologic_grade, primary_pathology_lymph_node_metastasis_radiographic_evidence, primary_pathology_lymph_node_examined_count, primary_pathology_number_of_lymphnodes_positive_by_he, primary_pathology_planned_surgery_status, primary_pathology_radiation_therapy, primary_pathology_postoperative_rx_txDataset
License
Not Provided
Tags
- CSV