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

Cultryx: Precision Diagnostic Stewardship for Blood Cultures Using Machine Learning

Cultryx:利用机器学习实现血液培养的精准诊断管理

Marshall, Nicholas P; Chen, Wenyuan; Amrollahi, Fatemeh; Haredasht, Fateme Nateghi; Maddali, Manoj V; Ma, Stephen P; Zahedivash, Aydin; Black, Kameron C; Chang, Amy; Deresinski, Stanley C; Goldstein, Mary K; Asch, Steven M; Banaei, Niaz; Chen, Jonathan H

Clinical entity augmented retrieval for clinical information extraction

临床实体增强检索用于临床信息提取

Lopez, Ivan; Swaminathan, Akshay; Vedula, Karthik; Narayanan, Sanjana; Nateghi Haredasht, Fateme; Ma, Stephen P; Liang, April S; Tate, Steven; Maddali, Manoj; Gallo, Robert Joseph; Shah, Nigam H; Chen, Jonathan H

Red teaming ChatGPT in medicine to yield real-world insights on model behavior

在医学领域对 ChatGPT 进行红队演练,以获得关于模型行为的真实世界见解

Chang, Crystal T; Farah, Hodan; Gui, Haiwen; Rezaei, Shawheen Justin; Bou-Khalil, Charbel; Park, Ye-Jean; Swaminathan, Akshay; Omiye, Jesutofunmi A; Kolluri, Akaash; Chaurasia, Akash; Lozano, Alejandro; Heiman, Alice; Jia, Allison Sihan; Kaushal, Amit; Jia, Angela; Iacovelli, Angelica; Yang, Archer; Salles, Arghavan; Singhal, Arpita; Narasimhan, Balasubramanian; Belai, Benjamin; Jacobson, Benjamin H; Li, Binglan; Poe, Celeste H; Sanghera, Chandan; Zheng, Chenming; Messer, Conor; Kettud, Damien Varid; Pandya, Deven; Kaur, Dhamanpreet; Hla, Diana; Dindoust, Diba; Moehrle, Dominik; Ross, Duncan; Chou, Ellaine; Lin, Eric; Haredasht, Fateme Nateghi; Cheng, Ge; Gao, Irena; Chang, Jacob; Silberg, Jake; Fries, Jason A; Xu, Jiapeng; Jamison, Joe; Tamaresis, John S; Chen, Jonathan H; Lazaro, Joshua; Banda, Juan M; Lee, Julie J; Matthys, Karen Ebert; Steffner, Kirsten R; Tian, Lu; Pegolotti, Luca; Srinivasan, Malathi; Manimaran, Maniragav; Schwede, Matthew; Zhang, Minghe; Nguyen, Minh; Fathzadeh, Mohsen; Zhao, Qian; Bajra, Rika; Khurana, Rohit; Azam, Ruhana; Bartlett, Rush; Truong, Sang T; Fleming, Scott L; Raj, Shriti; Behr, Solveig; Onyeka, Sonia; Muppidi, Sri; Bandali, Tarek; Eulalio, Tiffany Y; Chen, Wenyuan; Zhou, Xuanyu; Ding, Yanan; Cui, Ying; Tan, Yuqi; Liu, Yutong; Shah, Nigam; Daneshjou, Roxana

Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs

抗生素耐药性微生物数据集(ARMD):来自电子健康记录的抗菌药物耐药性资源

Nateghi Haredasht, Fateme; Amrollahi, Fatemeh; Maddali, Manoj V; Marshall, Nicholas; Ma, Stephen P; Cooper, Lauren N; Johnson, Andrew O; Wei, Ziming; Medford, Richard J; Kanjilal, Sanjat; Banaei, Niaz; Deresinski, Stanley; Goldstein, Mary K; Asch, Steven M; Chang, Amy; Chen, Jonathan H

Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features

利用自然语言处理和LLM衍生的临床特征,通过机器学习方法预测阿片类药物使用障碍药物治疗的维持率

Nateghi Haredasht, Fateme; Lopez, Ivan; Tate, Steven; Ashtari, Pooya; Chan, Min Min; Kulkarni, Deepali; Chen, Chwen-Yuen Angie; Vangala, Maithri; Griffith, Kira; Bunning, Bryan; Miner, Adam S; Hernandez-Boussard, Tina; Humphreys, Keith; Lembke, Anna; Vance, L Alexander; Chen, Jonathan H

Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learning

丁丙诺啡-纳洛酮治疗维持率的可预测性:一项结合电子健康记录和机器学习的多中心分析

Nateghi Haredasht, Fateme; Fouladvand, Sajjad; Tate, Steven; Chan, Min Min; Yeow, Joannas Jie Lin; Griffiths, Kira; Lopez, Ivan; Bertz, Jeremiah W; Miner, Adam S; Hernandez-Boussard, Tina; Chen, Chwen-Yuen Angie; Deng, Huiqiong; Humphreys, Keith; Lembke, Anna; Vance, L Alexander; Chen, Jonathan H

Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate

EKFC方程与机器学习模型预测肾小球滤过率的比较

Nakano, Felipe Kenji; Åkesson, Anna; de Boer, Jasper; Dedja, Klest; D'hondt, Robbe; Haredasht, Fateme Nateghi; Björk, Jonas; Courbebaisse, Marie; Couzi, Lionel; Ebert, Natalie; Eriksen, Björn O; Dalton, R Neil; Derain-Dubourg, Laurence; Gaillard, Francois; Garrouste, Cyril; Grubb, Anders; Jacquemont, Lola; Hansson, Magnus; Kamar, Nassim; Legendre, Christophe; Littmann, Karin; Mariat, Christophe; Melsom, Toralf; Rostaing, Lionel; Rule, Andrew D; Schaeffner, Elke; Sundin, Per-Ola; Bökenkamp, Arend; Berg, Ulla; Åsling-Monemi, Kajsa; Selistre, Luciano; Larsson, Anders; Nyman, Ulf; Lanot, Antoine; Pottel, Hans; Delanaye, Pierre; Vens, Celine

Predicting outcomes of acute kidney injury in critically ill patients using machine learning

利用机器学习预测危重患者急性肾损伤的预后

Nateghi Haredasht, Fateme; Viaene, Liesbeth; Pottel, Hans; De Corte, Wouter; Vens, Celine

Validated risk prediction models for outcomes of acute kidney injury: a systematic review

急性肾损伤预后风险预测模型的验证:系统评价

Haredasht, Fateme Nateghi; Vanhoutte, Laban; Vens, Celine; Pottel, Hans; Viaene, Liesbeth; De Corte, Wouter

Characterization of the Temporal Trends in the Rate of Cattle Carcass Condemnations in the US and Dynamic Modeling of the Condemnation Reasons in California With a Seasonal Component

美国牛胴体不合格率的时间趋势特征分析及加利福尼亚州不合格原因的季节性动态建模

Amirpour Haredasht, Sara; Vidal, Gema; Edmondson, Anita; Moore, Dale; Silva-Del-Río, Noelia; Martínez-López, Beatriz