AIMC Topic: Headache
Clear Filters Showing 21 to 30 of 34 articles
Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients.
PloS one
Apr 2, 2019
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupe...
Humans
Artificial Intelligence
Retrospective Studies
Adult
Male
Sports
Female
Brain Concussion
Young Adult
Dizziness
Vestibule, Labyrinth
Vestibular Diseases
Post-Concussion Syndrome
Diagnosis, Computer-Assisted
Adolescent
Cluster Analysis
Vision Disorders
Postural Balance
Headache
Neuropsychological Tests
Vitamin D status in children with headache: A case-control study.
Clinical nutrition ESPEN
Oct 13, 2017
BACKGROUND: Vitamin D is a fat soluble vitamin with hormonal properties, plays crucial functions in bone and mineral metabolism and has important regulatory functions in brain development, cell differentiation and apoptosis. Some studies have shown a...
Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.
BMC medical informatics and decision making
Apr 13, 2017
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (...
[Digitization in the diagnosis and treatment of headache].
MMW Fortschritte der Medizin
Nov 1, 2024
In recent years, machine learning, particularly Natural Language Processing, has emerged as a valuable tool for analyzing unstructured health data, such as headache anamneses. Studies demonstrate that algorithms can identify specific patterns and aut...
Response to letter to the editor: "What predicts citation counts and translational impact in headache research? A machine learning analysis".
Cephalalgia : an international journal of headache
Aug 1, 2024
Artificial intelligence and headache.
Cephalalgia : an international journal of headache
Aug 1, 2024
BACKGROUND AND METHODS: In this narrative review, we introduce key artificial intelligence (AI) and machine learning (ML) concepts, aimed at headache clinicians and researchers. Thereafter, we thoroughly review the use of AI in headache, based on a c...
Comment on "What predicts citation counts and translational impact in headache research? A machine learning analysis".
Cephalalgia : an international journal of headache
Aug 1, 2024
Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports.
Radiology. Artificial intelligence
Jul 1, 2024
Purpose To assess the performance of a local open-source large language model (LLM) in various information extraction tasks from real-life emergency brain MRI reports. Materials and Methods All consecutive emergency brain MRI reports written in 2022 ...
What predicts citation counts and translational impact in headache research? A machine learning analysis.
Cephalalgia : an international journal of headache
May 1, 2024
BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive.
Approach to the Patient With Headache.
Continuum (Minneapolis, Minn.)
Apr 1, 2024
OBJECTIVE: The evaluation of patients with headache relies heavily on the history. This article reviews key questions for diagnosing primary and secondary headache disorders with a rationale for each and phrasing to optimize the information obtained ...
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