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Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer.

2/5 보강
Communications medicine 📖 저널 OA 90.9% 2024: 1/1 OA 2025: 24/24 OA 2026: 35/41 OA 2024~2026 2026 OA Brain Metastases and Treatment
Retraction 확인
출처
PubMed DOI OpenAlex 마지막 보강 2026-04-29

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
환자: breast or lung cancer are at particularly elevated risk of IMD
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Machine-learning based competing-risk survival models offer greater insight into prognostication of intracranial metastatic disease than baseline strategies. These findings support the potential of such models to strengthen personalized risk stratification and guide targeted surveillance for Intracranial metastatic disease among patients with breast or lung cancer.
OpenAlex 토픽 · Brain Metastases and Treatment Medical Imaging Techniques and Applications Radiopharmaceutical Chemistry and Applications

Istasy MV, Verma A, Jerzak KJ, Das S

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