0082 Using random forest models to predict drug reaction with eosinophilia and systemic symptoms development from CBC parameters

IF 5.7 2区医学 Q1 DERMATOLOGY

Journal of Investigative Dermatology Pub Date : 2025-07-21 DOI:10.1016/j.jid.2025.06.084

B. Shwartzman, G. Rabinowitz, A. Piontkowski, C. Dubin, N. Wei, D. Mikhaylov, D. Dubin, E. Guttman-Yassky, B. Ungar, N. Gulati

引用次数: 0

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0082使用随机森林模型从CBC参数预测嗜酸性粒细胞增多和全身症状发展的药物反应

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来源期刊

Journal of Investigative Dermatology 医学-皮肤病学

CiteScore

8.70

自引率

4.60%

发文量

1610

审稿时长

2 months

期刊介绍： Journal of Investigative Dermatology (JID) publishes reports describing original research on all aspects of cutaneous biology and skin disease. Topics include biochemistry, biophysics, carcinogenesis, cell regulation, clinical research, development, embryology, epidemiology and other population-based research, extracellular matrix, genetics, immunology, melanocyte biology, microbiology, molecular and cell biology, pathology, percutaneous absorption, pharmacology, photobiology, physiology, skin structure, and wound healing