Modeling Dose Response for Late Dysphagia in Patients With Head and Neck Cancer in the Modern Era of Definitive ChemoradiationCancer-Related Internet Use and Online Social Networking Among Patients in an Early-Phase Clinical Trials Clinic at a Comprehensive Cancer CenterArtificial Intelligence Approach for Variant ReportingIncorporating Multiple Perspectives Into the Development of an Electronic Survivorship Platform for Head and Neck CancerDigital Health for Geriatric OncologyEvaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal CancerAmerican Association for Cancer Research Project Genomics Evidence Neoplasia Information Exchange: From Inception to First Data Release and Beyond—Lessons Learned and Member Institutions’ PerspectivesDecision Support Systems in OncologyDiagnostic Classification of Cystoscopic Images Using Deep Convolutional Neural NetworksClinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer CareGeneralized Competing Event Models Can Reduce Cost and Duration of Cancer Clinical TrialsIdentifying Smoking Status and Smoking Cessation Using a Data Linkage Between the Kentucky Cancer Registry and Health Claims DataThe International Association for the Study of Lung Cancer Early Lung Imaging ConfederationEpigenetic Conservation Is a Beacon of Function: An Analysis Using Methcon5 Software for Studying Gene MethylationCancer Informatics for Cancer Centers (CI4CC): Building a Community Focused on Sharing Ideas and Best Practices to Improve Cancer Care and Patient OutcomesFrailty in Older Adults With Multiple Myeloma: A Study of US VeteransCART-WHEEL.org: An Ethically Approved Online Database for Patient-Entered Data to Facilitate Rare Cancer ResearchPredicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health RecordsBayesian Framework for Detecting Gene Expression Outliers in Individual SamplesExploring Integrative Analysis Using the BioMedical Evidence GraphNatural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology ReportsSimulating Time-Dependent Patterns of Nonadherence by Patients With Breast Cancer to Adjuvant Oral Endocrine TherapyPlatform-Independent Classification System to Predict Molecular Subtypes of High-Grade Serous Ovarian CarcinomaSystematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health CareDeveloping an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health RecordsTreatment Patterns for Chronic Comorbid Conditions in Patients With Cancer Using a Large-Scale Observational Data NetworkOncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy DataQuantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image AnalysisPrediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung CancerImpact of Health-Related Quality of Life and Prediagnosis Risk of Major Depressive Disorder on Treatment Choice for Stage I Lung CancerUsing Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility GenesOperationalization of Next-Generation Sequencing and Decision Support for Precision OncologyClinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language ProcessingMultidisciplinary Software Design for the Routine Monitoring and Assessment of Pain in Palliative Care Services: The Development of PainCheckCancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in GlioblastomaCIViCpy: A Python Software Development and Analysis Toolkit for the CIViC KnowledgebaseClinical Trials in the Era of Digital Engagement: A SWOG Call to ActionDevelopment of an Algorithm to Distinguish Smoldering Versus Symptomatic Multiple Myeloma in Claims-Based Data SetsDevelopment of a Medicare Health Outcomes Survey Deficit-Accumulation Frailty Index and Its Application to Older Patients With Newly Diagnosed Multiple Myeloma
P1433
Q56532856-B988C907-EC5A-43BD-8EAD-3203F33947F9Q58037458-B85530BF-35E8-47C9-8ADF-6CD1CD92E5B0Q58581733-6FD61459-9D18-4654-91C8-485D8AF4302FQ58727280-85023892-E604-42E2-98F0-C96AC90E0D76Q60685336-8DA7F03B-3DC8-49A6-B71D-8881355439C3Q61454646-FCDC6E1D-1833-401A-8EAB-55948F4BBB28Q62100840-A8360A5B-4646-491F-9C63-F5007FFB22D2Q62490867-595A5ECF-8C68-4317-8207-66665695B3C6Q62491624-A2651FF8-7880-4DBD-BD5E-B56C79CBE187Q62491631-D27B7CEE-FB28-4CE0-AED4-9505B24AC25AQ64118373-037A4708-B626-40A7-8E7C-6B13DB4614EBQ64124235-EE663A4F-86BE-496D-8F3F-7956922C3BFDQ89573885-3FFD896E-3A84-4B2E-84D3-26440C55BD9CQ89801322-40CD82CA-303D-4E42-9565-A9507880A3C2Q89801325-9205BC7E-B7BE-4B2C-BFB5-092EF249F2BDQ89829877-69FA8862-C0EA-4518-ADE3-2A1EB889A77FQ89829881-87E4BBC3-2CFE-464C-9EFB-97C667C15238Q89829885-1B397AE9-E141-4F47-A873-93C5F55FC4C2Q89875046-FE73FD8B-D479-4B13-877A-6E0DBB8A8FEAQ89875049-5DEABD13-4582-4EF5-A42B-B08960A40FA8Q90013587-DBCAB6D8-3BCA-45A9-87C1-B01B22AA52E9Q90013596-6E7768CC-E82B-4CA3-87B8-EEC86F2C315CQ90013604-DA62824F-14DA-4744-8AA2-9706E1AE13E4Q90063975-AB802E84-E32F-4CF6-B11E-F318F3E38D72Q90063982-DE91F639-AE3A-431D-B20E-B4741463A828Q90063987-BD376538-C0ED-4FA2-A6B9-76EB9BDF7B61Q90108925-D7BE56A7-A6D2-4841-8953-B7BAC1FCF031Q90186250-8D201FB1-EE4B-47BC-BEEE-09D48BAE15DBQ90189878-6E0FF54D-CD7C-44C7-BEB3-34C8E5BFEDA0Q90189881-A7692CEE-C49A-4893-9A33-B77F7B70721CQ90217833-8FBA58FC-ABB6-41DD-B837-ABABCD3CE816Q90217837-8C5BD9C0-2BED-4E03-808A-1F11596AFAC7Q90254699-FB8A8A17-CCC1-46EC-AE30-90815519136EQ90436093-FE14281C-4A63-47A0-AB5A-FCB646DB02EBQ90436096-DC55CC25-3434-4E61-A646-D6D54848D57DQ90457581-7D22903F-D82D-4D62-830C-BAE990EC6930Q90457588-630AD404-B501-4222-A6DE-3AD6FE9D8DCBQ90457593-C90CE241-1766-420C-A163-3F41033ECC22Q90469545-A6F3FE0F-9BD8-4627-83A8-85DDD68D6CD9Q90469550-9D304875-7C88-472B-A4CC-BA80A6645936
P1433
description
online scientific journal
@en
name
JCO Clinical Cancer Informatics
@en
type
label
JCO Clinical Cancer Informatics
@en
altLabel
JCO CCI
@en
JCO Clin Cancer Inform
@en
JCO Clin. Cancer Inform.
@en
prefLabel
JCO Clinical Cancer Informatics
@en
P243
P1055
P1156
21100897027
P1476
JCO Clinical Cancer Informatics
@en