Chronic Obstructive Pulmonary Disease Classification Using Sex-specific Machine Learning Models and Quantitative Computed Tomography Imaging

Kalysta Makimoto; Cameron Hague; James C. Hogg; Jean Bourbeau; Wan C. Tan; Miranda Kirby

doi:10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a5121

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JOURNAL ARTICLE

Chronic Obstructive Pulmonary Disease Classification Using Sex-specific Machine Learning Models and Quantitative Computed Tomography Imaging

Kalysta Makimoto Cameron Hague James C. Hogg Jean Bourbeau Wan C. Tan Miranda Kirby

Year: 2024 Pages: A5121-A5121

DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a5121

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Keywords:

Pulmonary disease Computed tomography Computer science Quantitative computed tomography Artificial intelligence Medical imaging Medicine Tomography Radiology Machine learning Pattern recognition (psychology) Pathology Internal medicine Bone density

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Topics

Chronic Obstructive Pulmonary Disease (COPD) Research

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

Lung Cancer Diagnosis and Treatment

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

Pulmonary Hypertension Research and Treatments

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

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