2019年4期
刊物介紹
Medical Data Mining 專注于生物醫(yī)學的數(shù)學模型與數(shù)據(jù)分析，優(yōu)先發(fā)表生物信息學（如組學研究）、生物醫(yī)學（包括生理、疾病與臨床）與生物工程數(shù)學模型、流行病學與公共衛(wèi)生（包括經(jīng)濟、文化與政策）數(shù)據(jù)分析、數(shù)理統(tǒng)計方法研究、數(shù)字診斷裝備的數(shù)學模型及其研發(fā)、傳統(tǒng)醫(yī)學診斷方法的客觀化及其數(shù)學模型等相關(guān)研究成果；旨在通過對大數(shù)據(jù)與人工智能數(shù)據(jù)挖掘，發(fā)現(xiàn)生命與醫(yī)學的科學規(guī)律，提供發(fā)表與交流平臺。
Medical Data Mining
- Identification of core compositions of traditional Chinese medicine for Seborrheic Dermatitis using data mining techniques
- Efficacy of high-flow nasal cannula on acute exacerbation of chronic obstructive pulmonary disease:A meta-analysis
- Feedforward loop profile among transcription factor,miRNA and mRNA in influenza A virus-infected mouse lungs
- The law of oral traditional Chinese medicine for insomnia based on Chinese medical code
- Regularity of syndrome differentiation and treatment of traditional Chinese medicine for Henoch-Schonlein purpura based on data mining techniques