日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets Using Graph Machine Learning

利用图机器学习生成转录因子级联汇编并识别潜在治疗靶点

期刊:Genes
影响因子:2.8
doi:10.3390/genes16121430
Sivarajkumar, Sonish; Roy, Romy; Tandale, Pratyush; Bhardwaj, Ankit; Johnson, Kipp W; Titus, Anoop; Glicksberg, Benjamin S; Khader, Shameer; Yadav, Kamlesh K; Subramanian, Lakshminarayanan
发表日期：2025
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Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram

利用深度学习算法从心电图中同时识别右心室和左心室功能障碍

期刊:Jacc-Cardiovascular Imaging
影响因子:15.2
doi:10.1016/j.jcmg.2021.08.004
Vaid, Akhil; Johnson, Kipp W; Badgeley, Marcus A; Somani, Sulaiman S; Bicak, Mesude; Landi, Isotta; Russak, Adam; Zhao, Shan; Levin, Matthew A; Freeman, Robert S; Charney, Alexander W; Kukar, Atul; Kim, Bette; Danilov, Tatyana; Lerakis, Stamatios; Argulian, Edgar; Narula, Jagat; Nadkarni, Girish N; Glicksberg, Benjamin S
发表日期：2022
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Association of Reduced Hospitalizations and Mortality Rates Among COVID-19-Vaccinated Patients With Heart Failure

新冠疫苗接种者中，心力衰竭患者的住院率和死亡率降低与此相关

期刊:Journal of Cardiac Failure
影响因子:8.2
doi:10.1016/j.cardfail.2022.05.008
Johnson, Kipp W; Patel, Sonika; Thapi, Sahityasri; Jaladanki, Suraj K; Rao, Aarti; Nirenberg, Sharon; Lala, Anuradha
微生物学
新冠
心力衰竭
心血管
发表日期：2022
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Artificial Intelligence and Cardiovascular Genetics

人工智能与心血管遗传学

期刊:Life-Basel
影响因子:3.4
doi:10.3390/life12020279
Krittanawong, Chayakrit; Johnson, Kipp W; Choi, Edward; Kaplin, Scott; Venner, Eric; Murugan, Mullai; Wang, Zhen; Glicksberg, Benjamin S; Amos, Christopher I; Schatz, Michael C; Tang, W H Wilson
发表日期：2022
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Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management

将新型监测设备与机器学习技术相结合，实现可扩展的心血管管理

期刊:Nature Reviews Cardiology
影响因子:44.2
doi:10.1038/s41569-020-00445-9
Krittanawong, Chayakrit; Rogers, Albert J; Johnson, Kipp W; Wang, Zhen; Turakhia, Mintu P; Halperin, Jonathan L; Narayan, Sanjiv M
发表日期：2021
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Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke

深度神经网络可以根据12导联心电图预测新发房颤，并帮助识别房颤相关卒中高危人群

期刊:Circulation
影响因子:38.6
doi:10.1161/CIRCULATIONAHA.120.047829
Raghunath, Sushravya; Pfeifer, John M; Ulloa-Cerna, Alvaro E; Nemani, Arun; Carbonati, Tanner; Jing, Linyuan; vanMaanen, David P; Hartzel, Dustin N; Ruhl, Jeffery A; Lagerman, Braxton F; Rocha, Daniel B; Stoudt, Nathan J; Schneider, Gargi; Johnson, Kipp W; Zimmerman, Noah; Leader, Joseph B; Kirchner, H Lester; Griessenauer, Christoph J; Hafez, Ashraf; Good, Christopher W; Fornwalt, Brandon K; Haggerty, Christopher M
发表日期：2021
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Artificial intelligence in gastroenterology: A state-of-the-art review

人工智能在胃肠病学中的应用：最新综述

期刊:World Journal of Gastroenterology
影响因子:5.4
doi:10.3748/wjg.v27.i40.6794
Kröner, Paul T; Engels, Megan Ml; Glicksberg, Benjamin S; Johnson, Kipp W; Mzaik, Obaie; van Hooft, Jeanin E; Wallace, Michael B; El-Serag, Hashem B; Krittanawong, Chayakrit
发表日期：2021
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Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients

阿片类药物患者药物滥用、死亡率和药物相互作用易感性的预测模型

期刊:Frontiers in Artificial Intelligence
影响因子:4.7
doi:10.3389/frai.2021.742723
Vunikili, Ramya; Glicksberg, Benjamin S; Johnson, Kipp W; Dudley, Joel T; Subramanian, Lakshminarayanan; Shameer, Khader
发表日期：2021
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Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

利用联邦学习技术分析电子健康记录以提高新冠肺炎住院患者死亡率预测的准确性：机器学习方法

期刊:JMIR Medical Informatics
影响因子:3.8
doi:10.2196/24207
Vaid, Akhil; Jaladanki, Suraj K; Xu, Jie; Teng, Shelly; Kumar, Arvind; Lee, Samuel; Somani, Sulaiman; Paranjpe, Ishan; De Freitas, Jessica K; Wanyan, Tingyi; Johnson, Kipp W; Bicak, Mesude; Klang, Eyal; Kwon, Young Joon; Costa, Anthony; Zhao, Shan; Miotto, Riccardo; Charney, Alexander W; Böttinger, Erwin; Fayad, Zahi A; Nadkarni, Girish N; Wang, Fei; Glicksberg, Benjamin S
新冠
肺炎
微生物学
发表日期：2021
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Integrating blockchain technology with artificial intelligence for cardiovascular medicine

将区块链技术与人工智能相结合应用于心血管医学

期刊:Nature Reviews Cardiology
影响因子:44.2
doi:10.1038/s41569-019-0294-y
Krittanawong, Chayakrit; Rogers, Albert J; Aydar, Mehmet; Choi, Edward; Johnson, Kipp W; Wang, Zhen; Narayan, Sanjiv M
发表日期：2020
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