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A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records.

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第一作者： Gowtham,Varma

第一单位： Department of Clinical Sciences, Nference, 4th Floor, Indiqube, Golf View Campus Tower-2, 22, 3rd Cross Rd, Murugeshpalya, S R Layout, Bangalore, 560017, India, 91 8728831787.

作者： Gowtham,Varma ^[1] ; Rohit Kumar,Yenukoti ^[1] ; Praveen,Kumar M ^[1] ; Bandlamudi Sai,Ashrit ^[1] ; K,Purushotham ^[1] ; C,Subash ^[1] ; Sunil Kumar,Ravi ^[1] ; Verghese,Kurien ^[1] ; Avinash,Aman ^[2] ; Mithun,Manoharan ^[1] ; Shashank,Jaiswal ^[2] ; Akash,Anand ^[2] ; Rakesh,Barve ^[2] ; Viswanathan,Thiagarajan ^[2] ; Patrick,Lenehan ^[3] ; Scott A,Soefje ^[4] ; Venky,Soundararajan ^[3]

作者单位： Department of Clinical Sciences, Nference, 4th Floor, Indiqube, Golf View Campus Tower-2, 22, 3rd Cross Rd, Murugeshpalya, S R Layout, Bangalore, 560017, India, 91 8728831787. ^[1] Department of Data Science and Engineering, Nference, Bangalore, India. ^[2] Department of Clinical Sciences, Nference, Cambridge, MA, United States. ^[3] Department of Pharmacy, Director of Pharmacy, Mayo Clinic, Rochester, MN, United States. ^[4]

医学主题词人类(Humans);乳腺肿瘤(Breast Neoplasms);电子健康病历(Electronic Health Records);女(雌)性(Female);工作流(Workflow);自然语言处理(Natural Language Processing);中年人(Middle Aged);疾病恶化(Disease Progression);肿瘤转移(Neoplasm Metastasis);老年人(Aged);哌嗪类(Piperazines);吡啶类(Pyridines)

DOI 10.2196/64697

PMID 40372953

发布时间 2025-05-25

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A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records.

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A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records.

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