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

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

The Emerging Clinical Relevance of Artificial Intelligence, Data Science, and Wearable Devices in Headache: A Narrative Review

人工智能、数据科学和可穿戴设备在头痛治疗中日益凸显的临床意义:一篇叙述性综述

Danelakis, Antonios; Stubberud, Anker; Tronvik, Erling; Matharu, Manjit

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