ArticleBehavioural neurology2022
Early Stroke Prediction Methods for Prevention of Strokes.
Article in Behavioural neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.PloS one · 2025Article
- Prediagnosis recognition of acute ischemic stroke by artificial intelligence from facial images.Aging cell · 2024Article
- Leveraging multivariate analysis and adjusted mutual information to improve stroke prediction and interpretability.Neurosciences (Riyadh, Saudi Arabia) · 2024Article
- Unlocking stroke prediction: Harnessing projection-based statistical feature extraction with ML algorithms.Heliyon · 2024Article
- Acute ischemic stroke prediction and predictive factors analysis using hematological indicators in elderly hypertensives post-transient ischemic attack.Scientific reports · 2024Article
- Retracted: Early Stroke Prediction Methods for Prevention of Strokes.Behavioural neurology · 2023Article
- Non-invasive and accurate risk evaluation of cerebrovascular disease using retinal fundus photo based on deep learning.Frontiers in neurology · 2023Article
- A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke.Journal of clinical medicine · 2022Article
- Diagnostic Significance of 3D Automated Breast Volume Scanner in a Combination with Contrast-Enhanced Ultrasound for Breast Cancer.BioMed research international · 2022Article
- Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis.Computational intelligence and neuroscience · 2022Article
- Influence of Autologous Bone Marrow Stem Cell Therapy on the Levels of Inflammatory Factors and Conexin43 of Patients with Moyamoya Disease.Computational intelligence and neuroscience · 2022Article
- Image Super-Resolution Reconstruction Method for Lung Cancer CT-Scanned Images Based on Neural Network.BioMed research international · 2022Article
- The Relationship between Physical Activity and Academic Achievement in Multimodal Environment Using Computational Analysis.Computational intelligence and neuroscience · 2022Article
- A Comprehensive Study on Epidemiology Case Studies Using Computational Analysis.Computational intelligence and neuroscience · 2022Review
- Computational Analysis of Influencing Factors and Multiple Scoring Systems of Stone Clearance Rate after Flexible Ureteroscopic Lithotripsy.Computational intelligence and neuroscience · 2022Article
- A Study on THE Mechanism of Electroacupuncture to Alleviate Visceral Pain and NGF Expression.Computational intelligence and neuroscience · 2022Article
Corrections and comments
- Retraction · 2023-12-20Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of the latest technologies gives rise to the usage of noninvasive techniques for assisting health-care systems. Amongst the four major cardiovascular diseases, stroke is one of the most dangerous and life-threatening disease, but the life of a patient can be saved if the stroke is detected during early stage. The literature reveals that the patients always experience ministrokes which are also known as transient ischemic attacks (TIA) before experiencing the actual attack of the stroke. Most of the literature work is based on the MRI and CT scan images for classifying the cardiovascular diseases including a stroke which is an expensive approach for diagnosis of early strokes. In India where cases of strokes are rising, there is a need to explore noninvasive cheap methods for the diagnosis of early strokes. Hence, this problem has motivated us to conduct the study presented in this paper. A noninvasive approach for the early diagnosis of the strokes is proposed. The cascaded prediction algorithms are time-consuming in producing the results and cannot work on the raw data and without making use of the properties of EEG. Therefore, the objective of this paper is to devise mechanisms to forecast strokes on the basis of processed EEG data. This paper is proposing time series-based approaches such as LSTM, biLSTM, GRU, and FFNN that can handle time series-based predictions to make useful decisions. The experimental research outcome reveals that all the algorithms taken up for the research study perform well on the prediction problem of early stroke detection, but GRU performs the best with 95.6% accuracy, whereas biLSTM gives 91% accuracy and LSTM gives 87% accuracy and FFNN gives 83% accuracy. The experimental outcome is able to measure the brain waves to predict the signs of strokes. The findings can certainly assist the physicians to detect the stroke at early stages to save the lives of the patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.