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

Performance of Supervised Machine Learning Models for Cardiac Surgery-Associated Acute Kidney Injury in Children: Multicenter Retrospective Cohort Study, 2019-2022

监督式机器学习模型在儿童心脏手术相关急性肾损伤预测中的性能:2019-2022 年多中心回顾性队列研究

Baloglu, Orkun; Akbasli, Izzet T; Morca, Ayse; Latifi, Samir Q; Gist, Katja M; Penk, Jamie S; Marino, Bradley S

Hybrid rule-based and on-premises LLM pipeline for extracting CMR and CPET metrics from free-text reports in repaired tetralogy of Fallot

用于从法洛四联症修复术后的自由文本报告中提取 CMR 和 CPET 指标的混合型基于规则和本地部署的 LLM 流程

Akbasli, Izzet T; Beck, Kristen L; Liou, Wilson; Du, Sherry; Nemer, Gabriel; Baloglu, Orkun; Latifi, Samir Q; Marino, Bradley S; Albahra, Samer; Tandon, Animesh

Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages

利用大型语言模型模拟领域专家对非英语非结构化文本电子医疗记录进行标注

Akbasli, Izzet Turkalp; Birbilen, Ahmet Ziya; Teksam, Ozlem

Artificial intelligence-driven forecasting and shift optimization for pediatric emergency department crowding

人工智能驱动的儿科急诊科拥挤情况预测和轮班优化

Akbasli, Izzet Turkalp; Birbilen, Ahmet Ziya; Teksam, Ozlem

The relationship between resting heart rate variability and sportive performance, sleep and body awareness in soccer players

足球运动员静息心率变异性与运动表现、睡眠和身体感知之间的关系

Tekin, Rabia Tugba; Kudas, Savas; Buran, Melike Mese; Cabuk, Salih; Akbasli, Oguzhan; Uludag, Veysel; Yosmaoglu, Hayri Baran

Supervised Machine Learning Models Predicting Postoperative Low Cardiac Output Syndrome In Neonates

基于监督式机器学习模型的新生儿术后低心输出量综合征预测

Baloglu, Orkun; Wang, Xiaofeng; Marino, Bradley S; Morca, Ayse; Akbasli, Izzet T; Latifi, Samir Q; Klaben, Alex; Tandon, Animesh

Peer Review of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development”

对“利用机器学习预测儿童肺炎治疗升级:回顾性分析和模型开发”的同行评审

Serin, Oguzhan; Akbasli, Izzet Turkalp; Cetin, Sena Bocutcu; Koseoglu, Busra; Deveci, Ahmet Fatih; Ugur, Muhsin Zahid; Ozsurekci, Yasemin; Rogerson, Colin

Authors’ Response to Peer Reviews of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development”

作者对“利用机器学习预测儿童肺炎治疗升级:回顾性分析和模型开发”一文同行评审的回应

Vaijainthymala Krishnamoorthy, Mahesh; Vaijainthymala Krishnamoorthy, Mahesh; Bommhardt, Trutz; Singh, Reenu; Serin, Oguzhan; Akbasli, Izzet Turkalp; Cetin, Sena Bocutcu; Koseoglu, Busra; Deveci, Ahmet Fatih; Ugur, Muhsin Zahid; Ozsurekci, Yasemin

RIsearch: fast RNA-RNA interaction search using a simplified nearest-neighbor energy model

RIsearch:利用简化的最近邻能量模型快速搜索RNA-RNA相互作用

Wenzel, Anne; Akbasli, Erdinç; Gorodkin, Jan