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

Identification of sensorineural hearing loss subtypes using unsupervised machine learning and assessment of their replicability

利用无监督机器学习识别感音神经性听力损失亚型并评估其可重复性

Dimitrov, Lilia; Lilaonitkul, Watjana; Mehta, Nishchay

OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers

OCT5k:一个包含多种疾病和多分级视网膜层标注的数据集

Arikan, Mustafa; Willoughby, James; Ongun, Sevim; Sallo, Ferenc; Montesel, Andrea; Ahmed, Hend; Hagag, Ahmed; Book, Marius; Faatz, Henrik; Cicinelli, Maria Vittoria; Fawzi, Amani A; Podkowinski, Dominika; Cilkova, Marketa; De Almeida, Diana Morais; Zouache, Moussa; Ramsamy, Ganesham; Lilaonitkul, Watjana; Dubis, Adam M

Automating the extraction of otology symptoms from clinic letters: a methodological study using natural language processing

利用自然语言处理技术自动提取临床信函中的耳科症状:一项方法学研究

Joshi, Nikhil; Noor, Kawsar; Bai, Xi; Forbes, Marina; Ross, Talisa; Barrett, Liam; Dobson, Richard J B; Schilder, Anne G M; Mehta, Nishchay; Lilaonitkul, Watjana

Improving parenting skill through the strong families program in Thailand

通过泰国“强大家庭计划”提升育儿技能

Buawangpong, Nida; El-Khani, Aala; Aramrattana, Apinun; Chutima, Chalermkwan; Arunrangsi, Watjana; Tantihachai, Chiraporn; Angkurawaranon, Chaisiri; McCoy, Amalee; Rinpon, Kawinthip; Nantsupawat, Nopakoon; Peters, Karen; Lynn, Zin Ko Ko; Maalouf, Wadih; Jiraporncharoen, Wichuda

Uncovering Phenotypes in Sensorineural Hearing Loss: A Systematic Review of Unsupervised Machine Learning Approaches

揭示感音神经性听力损失的表型:无监督机器学习方法的系统性综述

Dimitrov, Lilia; Barrett, Liam; Chaudhry, Aizaz; Muzaffar, Jameel; Lilaonitkul, Watjana; Mehta, Nishchay

Impact of anti-VEGF treatment for diabetic macular oedema on progression to proliferative diabetic retinopathy: data-driven insights from a multicentre study

抗 VEGF 治疗糖尿病性黄斑水肿对进展为增殖性糖尿病视网膜病变的影响:一项多中心研究的数据驱动性见解

Olvera-Barrios, Abraham; Lilaonitkul, Watjana; Heeren, Tjebo F C; Rozenberg, Assaf; Thomas, Darren; Warwick, Alasdair; Soomro, Taha; Alsaedi, Abdulrahman; Schwartz, Roy; Chakravarthy, Usha; Eleftheriadis, Haralabos; Ghanchi, Faruque; Patwardhan, Ashish; Taylor, Paul; Tufail, Adnan; A Egan, Catherine

Parenclitic network mapping predicts survival in critically ill patients with sepsis

肠系膜网络图谱可预测脓毒症危重患者的生存率

Ito, Emily; Oyelade, Tope; Wikner, Matthew; Liu, Jinyuan; Lilaonitkul, Watjana; Mani, Ali R

Named entity recognition of pharmacokinetic parameters in the scientific literature

科学文献中药代动力学参数的命名实体识别

Gonzalez Hernandez, Ferran; Nguyen, Quang; Smith, Victoria C; Cordero, José Antonio; Ballester, Maria Rosa; Duran, Màrius; Solé, Albert; Chotsiri, Palang; Wattanakul, Thanaporn; Mundin, Gill; Lilaonitkul, Watjana; Standing, Joseph F; Kloprogge, Frank

Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes

利用常规临床数据划分 COVID-19 亚组,可以识别出不同的住院结局。

Rangelov, Bojidar; Young, Alexandra; Lilaonitkul, Watjana; Aslani, Shahab; Taylor, Paul; Guðmundsson, Eyjólfur; Yang, Qianye; Hu, Yipeng; Hurst, John R; Hawkes, David J; Jacob, Joseph

Clinical deployment environments: Five pillars of translational machine learning for health

临床部署环境:转化机器学习在医疗健康领域的五大支柱

Harris, Steve; Bonnici, Tim; Keen, Thomas; Lilaonitkul, Watjana; White, Mark J; Swanepoel, Nel