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

Diagnosing migraine from genome-wide genotype data: a machine learning analysis

基于全基因组基因型数据诊断偏头痛:机器学习分析

Danelakis, Antonios; Kumelj, Tjaša; Winsvold, Bendik S; Bjørk, Marte Helene; Nachev, Parashkev; Matharu, Manjit; Giles, Dominic; Tronvik, Erling; Langseth, Helge; Stubberud, Anker

Forecasting migraine with time-series machine learning from mobile health data

利用移动健康数据进行时间序列机器学习预测偏头痛

Faisal, Fahim; Poole, Amalie C; Danelakis, Antonios; Wergeland, Tore; Bjørk, Marte; Khanevski, Andrej N; Kristoffersen, Espen Saxhaug; Kumelj, Tjaša; Larsen, Iben C K; Lunder, Oda V; Matharu, Manjit; Nachev, Parashkev; Simpson, Melanie R; Tronvik, Erling; Vetvik, Kjersti G; Winsvold, Bendik S; Øie, Lise R; Øvrevik, Ane B; Stubberud, Anker

Stroke Investigation Group in North and Central London (SIGNAL): cohort profile of a prospective large-scale comprehensive stroke registry

北伦敦和中伦敦卒中研究组 (SIGNAL):一项前瞻性大型综合卒中登记研究的队列概况

Ozkan, Hatice; Ambler, Gareth; Nash, Philip S; Browning, Simone; Mussa, Raafiah; Leff, Alex; Jäger, Hans R; Nachev, Parashkev; Perry, Richard; Chan, Edgar; Simister, Robert; Werring, David J

How Functional Variants Reconfigure the Rac2 Conformational Landscape

功能性变异如何重塑 Rac2 构象格局

Gjoni, Ketrin; Zhang, Shu; Yan, Rachel E; Zhang, Bo; Miller, Daniel; Resnick, Adam; Dahmane, Nadia; Pollard, Katherine S; Ruffle, James; Mohinta, Samia; Pombo, Guilherme; Gray, Robert; Kopanitsa, Valeriya; Lee, Faith; Brandner, Sebastian; Hyare, Harpreet; Nachev, Parashkev; Otani, Ryohei; Mukasa, Akitake; Uzuka, Takeo; Higuchi, Fumi; Matsuda, Hadzki; Tanaka, Shota; Kim, Phyo; Ueki, Keisuke; Arakawa, Yoshiki; Liu, Bin; Yokogawa, Ryuta; Tokunaga, Shinya; Hattori, Etsuko; Fukui, Nobuyuki; Terada, Yukinori; Matsui, Yasuzumi; Tannji, Masahiro; Mineharu, Yohei; Miyamoto, Susumu; Aram, Modrek S; Themasap, Khan N; Sumru Bayin, N; Zhang, Guoan; Thomas, Neubert; Dimitris, Placantonakis G; Haspel, Nurit; Jang, Hyunbum; Nussinov, Ruth

Topological modelling of urban air pollution and cognition

城市空气污染与认知的拓扑建模

Engleitner, Holger; Suárez Pinilla, Marta; Rossor, Martin; Nachev, Parashkev

Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis

利用HUNT研究的临床基因型数据预测新发偏头痛:机器学习分析

Faisal, Fahim; Danelakis, Antonios; Bjørk, Marte-Helene; Winsvold, Bendik; Matharu, Manjit; Nachev, Parashkev; Hagen, Knut; Tronvik, Erling; Stubberud, Anker

Deep phenotyping of patient lived experience in functional bowel disorders using machine learning

利用机器学习对功能性肠病患者的生活体验进行深度表型分析

Ruffle, James K; Henderson, Michelle; Ng, Cho Ee; Liddle, Trevor; Nelson, Amy P K; Nachev, Parashkev; Knowles, Charles H; Yiannakou, Yan

The Cognitive Footprint of Medication Use

药物使用的认知足迹

Pinilla, Marta Suárez; Stoner, Charlotte R; Knapp, Martin; Nachev, Parashkev; Rossor, Martin

What predicts citation counts and translational impact in headache research? A machine learning analysis

哪些因素可以预测头痛研究的引用次数和转化影响?机器学习分析

Danelakis, Antonios; Langseth, Helge; Nachev, Parashkev; Nelson, Amy; Bjørk, Marte-Helene; Matharu, Manjit S; Tronvik, Erling; May, Arne; Stubberud, Anker

Ground-truth validation of uni- and multivariate lesion inference approaches

单变量和多变量病变推断方法的真实值验证

Zavaglia, Melissa; Malherbe, Caroline; Schlaadt, Sebastian; Nachev, Parashkev; Hilgetag, Claus C