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Medicina
Special Issues
Large Data Sets for Diagnosis and Treatment of Neurologic Disorders
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Large Data Sets for Diagnosis and Treatment of Neurologic Disorders

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Neurology".

Deadline for manuscript submissions: closed (20 January 2024) | Viewed by 1308

Special Issue Editor

Dr. Mark Stecker

E-Mail Website
Guest Editor
Fresno Institute of Neuroscience, Fresno, CA, USA
Interests: neurophysiology; electroencephalography; neuroscience; big data; statistics; signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Many neurologic disorders have high prevalence and high morbidity despite extensive efforts in improving diagnosis and treatment. These include dementia, stroke, movement disorders, demyelinating disease, neuropathy, migraine, seizures, and myopathy, among many others. There is a large amount of data in existing databases from many sources, including the government and for profit and non-profit organizations, that can be used to shed light on prevalence, diagnosis, and the effect of treatments. However, the statistical and computational challenges associated with such studies are significant, especially the construction of multivariate models. In addition, problems associated with case definitions are also significant. This Special Issue aims to collect research on the problems and promise of these big data approaches in neurologic disorders. This may include new ideas on how to optimally identify target populations from these databases, optimal statistical approaches, regulatory and privacy issues in data access, and clinical applications.

Dr. Mark Stecker
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Medicina is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neurologic disorders
  • seizures
  • migraine
  • multiple sclerosis
  • neuropathy
  • dementia
  • big data
  • statistics
  • epidemiology
  • denomics
  • Alzheimer’s disease

Published Papers (1 paper)

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Research

17 pages, 1074 KiB  
Article
Gender Predicts Differences in Acute Ischemic Cardioembolic Stroke Profile: Emphasis on Woman-Specific Clinical Data and Early Outcome—The Experience of Sagrat Cor Hospital of Barcelona Stroke Registry
by Marc Inogés, Adrià Arboix, Luís García-Eroles and María José Sánchez-López
Medicina 2024, 60(1), 101; https://doi.org/10.3390/medicina60010101 - 05 Jan 2024
Viewed by 1009
Abstract
Background and Objectives: Acute ischemic cardioembolic stroke (CS) is a clinical condition with a high risk of death, and can lead to dependence, recurrence, and dementia. Materials and Methods: In this study, we evaluated gender differences and female-specific clinical data and [...] Read more.
Background and Objectives: Acute ischemic cardioembolic stroke (CS) is a clinical condition with a high risk of death, and can lead to dependence, recurrence, and dementia. Materials and Methods: In this study, we evaluated gender differences and female-specific clinical data and early outcomes in 602 women diagnosed with CS from a total of 4600 consecutive acute stroke patients in a single-center hospital stroke registry over 24 years. A comparative analysis was performed in women and men in terms of demographics, cerebrovascular risk factors, clinical data, and early outcomes. Results: In a multivariate analysis, age, hypertension, valvular heart disease, obesity, and internal capsule location were independent variables associated with CS in women. The overall in-hospital mortality rate was similar, but the group of women had a greater presence of neurological deficits and a higher percentage of severe limitation at hospital discharge. After the multivariate analysis, age, altered consciousness, limb weakness, and neurological, respiratory, gastrointestinal, renal, cardiac and peripheral vascular complications were independent predictors related to early mortality in women. Conclusions: Women with CS showed a differential demographic and clinical profile and worse early outcomes than men. Advanced age, impaired consciousness, and medical complications were predictors of stroke severity in women with CS. Full article
(This article belongs to the Special Issue Large Data Sets for Diagnosis and Treatment of Neurologic Disorders)
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