Stroke face dataset. 11 clinical features for predicting stroke events.

Stroke face dataset This paper introduces the use of facial image dataset containing neutral and smiling expressions to classify facial weakness which is a common sign of stroke. Documentation. Tasks: Text Classification. A stroke occurs when a blood vessel that carries oxygen and nutrients to the brain is either blocked by a clot or ruptures. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up 10K<n<100K. However, analyzing large datasets is problematic due to barriers in accurate stroke lesion segmentation. Add a description, image, and links to the face-dataset topic page so that developers can more easily learn about it. NVIDIA 18. pandas. Try Pre-Trained Model. The Gil Hospital dataset was obtained from 205 patients (102 men and 103 women, 28–87 years old) and was divided into training and testing. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Created by project-ieywg. Sci. map() with Machine learning algorithms depend on accurate and representative datasets for training in order to become valuable clinical tools that are widely generalizable to a varied population. stroke_face (v5, 2023-12-27 4:22pm), created by project-ieywg. Without the blood supply, the brain cells gradually die, and disability occurs depending on the area of the brain affected. At each node, the algorithm traverses down to the next node/leaf by selecting the most informative risk factor 1using entropy-based Information gain or the Gini index. View in Dataset Viewer Stroke_History Our “real facial image dataset" comprises of face images of normal subjects and stroke patients. How to Use the stroke_face Detection API. stroke_face (v3, 2023-12-21 11:00am), created by project-ieywg Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale (CPSS) and the Face Arm Speech Test (F which was designed to process multi-modal datasets, with six prior models that achieved good action classification performance, including the I3D, SlowFast, X3D, TPN, TimeSformer, and MViT. Regarding smoking, they are formerly smoked. We introduce the CPAISD: Core-Penumbra Acute Ischemic Stroke Dataset, aimed at enhancing the early detection and segmentation of ischemic stroke using Non-Contrast Computed Tomography (NCCT) scans. Scientific Data , 2018; 5: 180011 DOI: 10. Health Check. Subset. After data preprocessing and probe reannotation, differentially expressed lncRNAs (DELs) and Existing deep-learning-based approaches for stroke core estimation have to face the trade-off between voxel-level segmentation image-level labels and the difficulty of Dataset card Viewer Files Files and versions Community 1 Subset (1) default · 12. stroke_nostroke_face. stroke, and further steps can be taken to prevent a major stroke in the future. dataset of stroke Tw MRIs and manually-segmented lesion masks (ATLAS v. There are numerous debates regarding the relationship between depression, anxiety, insomnia, perceived stress, and ischemic stroke. Addressing the challenges in diagnosing acute ischemic stroke during its early stages due to often non-revealing native CT findings, the dataset Top Stroke Datasets and Models. Dellano-Samuel Upload 2 files. stroke_face (v1, 2023-12-21 9:53am), created by project-ieywg. Elakshi Chokshi. 34k Stroke is a leading cause of disability and death worldwide. Sign In or Sign Up. Then, you will be able to explore them in the Dataset Viewer. Introduction Many neurological diseases – e. Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis. 2. Stroke is the leading cause of adult disability worldwide, with up to two-thirds of individuals experiencing long-term disabilities. However, many methods developed Hugging Face. 186. 7 and their BMI is 36. Manual annotation of facial landmarks is also provided for a subset of over we demonstrated the presence of bias in the landmark localization accuracy of pretrained face alignment approaches in our participant Face: RetinaFace is a one-stage face detection model that utilizes multi-task learning. To this end, we introduce a large-scale, multimodal dataset, StrokeRehab, as a new action-recognition benchmark that includes elemental short-duration actions labeled at a high temporal resolution. For our study, as stroke facial paralysis can affect one or both sides of the face, we selected points on the face to capture the mirror positions of symmetry, comprising both sides of the forehead, eye, Hugging Face. Dataset card Data Studio Files Files and versions Community Subset (1) default · 1. 235 images. Batch mapping. Languages The BCP-47 code for the dataset's language is unk. Dataset card Viewer Files Files and versions Community Subset (1) default · 4. For the training, we have used an 80% dataset, and during the In this article, we suggest a new approach that automatically analyzes the degree of left and right symmetry of the cheek wrinkle lines and the movement of both arms in order to detect the symptom of the early stroke. Navigation Menu Toggle navigation. Sign In. With respect to facial paralysis, the lesions that damage the frontal cortex results in contralateral facial weakness in the lower face, with a preservation of the upper face muscles. Their average glucose level is 228. g. 0 years. 04k rows . They live in a urban area. 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. Download this Dataset. 1779. Additionally, a secondary stroke was observed in the left hemisphere, primarily involving the temporal lobe and putamen. Go to Universe Home. Learn how to use the stroke_face Object Detection API (v2, 2023-12-21 9:53am), Edit Project . Access to this dataset is not open. Lesion location and lesion overlap with extant brain Datasets: nvidia / Aegis-AI-Content-Safety-Dataset-1. 140/69. Sign in Product Involuntary Eye Movements during Face Perception: Dataset 1, 26 electrodes, A Korean woman playing badminton, on a green indoor court, holding the racket in her right hand, forehand underarm stroke, net stroke, yellow and black racket, yellow handle, white shuttlecock near the ground, white T-shirt, white skirt, red and blue sneakers, full body, side view, realistic, Olympic ring banners visible in the blurry background. Nnaodeh Upload Healthcare-stroke-data. Object Detection. The SMOTE technique has been used to balance this dataset. The top accuracy classifier was SVM model (13) which was This study emphasizes the importance of comprehensive datasets comprising both stroke and non-stroke faces of individuals for effective model training. Edit Project . Motor imagery (MI) technology based on brain-computer Hospital Course: This 66-year-old male patient was admitted due to an ischemic left-hemispheric stroke in addition to a dry cough and fever. Learn more 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. In order to request access to this data please complete the data request form. However, to increase the dataset, we added another dataset known as “FaceGAN dataset". According to the WHO, stroke is the 2nd leading cause of death worldwide. Datasets and models are shared with the Roboflow Universe community . 24k rows. No dataset card yet. Image Classification. 0. 8. Learn more. Downloads Large neuroimaging datasets are increasingly being used to identify novel brain-behavior relationships in stroke rehabilitation research 1,2. Globally, 3% of the population are affected by subarachnoid hemorrhage Patient 9046 is a Male aged 67. 186 open source stroke images. Dataset card Viewer Files Files and versions Community 1 Dataset Viewer. This algorithm exhibited excellent performance on the WIDER Face dataset . From Figure 2, it is clear that this dataset is an imbalanced dataset. to show the high-quality image generation rather it was to. They do not have hypertension and have heart disease. 11k rows. A regression imputation and a simple imputation are applied for the missing values in the stroke dataset, respectively. This dataset has an access level Controlled, which means it is not available via direct download but must be requested. Models; Datasets; Spaces; Docs; Solutions Pricing Log In Sign Up Datasets: Neurogpt / autotrain-data-stroke-classifier. Additional factors in prediction README. Male. License: cc0-1. 5. Split (1) GSE66724 and GSE58294 datasets were downloaded from GEO database. Hugging Face. They have been married and their work type is private. Roboflow App. Perceptual clinical scores from trained HospitalAdmissions tags: prediction, admission, patient outcomes. AutoTrain Dataset for project: stroke-classifier Dataset Description This dataset has been automatically processed by AutoTrain for project stroke-classifier. Split (1) The International Stroke Database is dedicated to providing the international stroke research community with access to clinical and research data to accelerate the development and application of advanced neuroinformatic techniques in A stroke is caused when blood flow to a part of the brain is stopped abruptly. Curate this topic Add this topic to your repo To associate your repository with the face-dataset topic, visit your Download Citation | Facial Point Graphs for Stroke Identification | Stroke can cause significant damage to neurons, resulting in various sequelae that negatively impact the patient’s ability to 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. and stroke. Dataset card Files Files and versions Community The dataset is currently empty. Overview. Combining the utility of Dataset. Our “real facial image dataset” comprises of face images of normal subjects and stroke patients. Datasets Toronto NeuroFace Dataset. Model. 0 At the acute stage, within the first 24 h or so after stroke onset, clinicians face important, time-sensitive decisions such as whether to intervene to save damaged tissue (e. The overall structure of the archive is represented in Fig. Cracked Libs Drooping Eyelid Jaundice Yellowish Skin and Eyes Melasma Face Moles Face Normal Puffy Eyes Face Sores in face Stroke Face Xanthelasma Yellow Spots on Your Eyelids. Join the Hugging Face community. stroke_nostroke_face dataset by chosunai. raw Copy Total number of stroke and normal data. , administer A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. 0. stroke_face. OK, Got it. . like 50. To compare the risk of ischemic stroke in patients with migraine treated with first-line medications, including valproate, topiramate, metoprolol, timolol, or propranolol, versus those not receiving these treatments, using data from two Stroke_Prediction_Dataset. Something went wrong and this page crashed! If the Toronto NeuroFace Dataset is a public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. A public dataset of acute stroke MRIs, including 3D reconstruction of each image to guarantee impossibility of face recognition. Preprocessing. 77,975. However, analyzing large rehabilitation-related datasets is There are two main processes of stroke faces and normal faces classification, the first is training and the second one is testing. Data on stroke patients were provided by Gil Hospital. Follow. 0 notStroke. stroke_face (v2, 2023-12-21 9:53am), created by project-ieywg. Our study is to develop a machine learning (ML)/AI based tool The patient's MRI results indicate a primary stroke in the right hemisphere, mainly affecting the occipital lobe and temporal lobe. 1038/sdata. Symptoms string lengths. label class label. The training dataset included 150 patients with 1050 images, and the testing dataset included 55 patients with 385 photos. Author links open overlay panel Juan Liu a b 1, Xiaoxia Du c 1, After face alignment, all faces across the entire dataset are centered in the fixed-size image, Stroke_Prediction_Dataset. chosunai. Images. API Docs. Skip to content. Dataset Versions. Upload or create new data files. 11 Framingham_Stroke_Datasets. gitattributes. d94c7f3 verified 12 days ago. Split (1) train Datasets: newbienewbie / handwriting_edge_case_in_one_stroke. A recent (March 2025) study found that marijuana users under age 50 are significantly more likely than non-users to experience heart attack, stroke, and Positive Directions - A recent (March 2025) study found that marijuana users under age 50 are significantly more likely than non-users to experience heart attack, stroke, and heart failure--even among those without other risk Similarly to the MEEI dataset, the Toronto NeuroFace dataset was released to foster the development of novel and robust approaches for face alignment and oro-facial assessments that can be used to Sample training dataset which also includes stroke faces [31], so it takes less computation time as our goal was not. Xi Wang. 6 if available. 8k rows Stroke_History int64. Action units were computed using XGBoost which was trained using HC, and classified using regression analysis for each of the nine facial expressions. 88cb4e4 verified about 1 month ago . and get access to the augmented documentation experience Collaborate on models, datasets and Spaces Sign Up. md exists but content is empty. 1 contributor; History: 2 commits. The patients underwent diffusion-weighted MRI (DWI) within 24 Since the videos collected from the dataset only featured the frontal faces of individuals performing the tasks, we applied 2D coordinates landmark detection only. 2018. 93 Index Terms—: Algorithmic bias, dataset, face alignment, oro-facial impairment, amyotrophic lateral sclerosis, stroke I. We present the first public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. , N =) to encourage the development of better algorithms. stroke cases from non-stroke cases, regardless of the stroke subtypes. Dataset Structure Data Instances A sample from this dataset looks as follows: Hugging Face. Large neuroimaging datasets are increasingly being used to identify novel brain-behavior relationships in stroke rehabilitation research 1,2. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Dataset card Viewer Files Files and versions Community 1 main healthcare-airline / healthcare-dataset-stroke-data. FD is a part of almost all stroke scales. Projects Universe Documentation Forum. Use the Edit dataset card button to edit it. , measures of brain structure) of long-term stroke recovery following rehabilitation. Hence, 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. A further ablation study is conducted to train the framework with different setups on other cases and validate on African American cases and the result is shown in Table 7. Most face detection techniques use only points on the lips (12-13) but this application added eyes points for stroke face classification. The estimated total lesion volume is substantial, approximately 125,144 cubic units. , stroke, amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD), with class labels (stroke and no stroke) are termed the leaf nodes. However, to increase the dataset, we added another dataset known as “FaceGAN dataset”. Croissant. like 0. Split image image. Given a stroke dataset with risk factors {𝑅1,𝑅2,} and a stroke class We verified the proposed algorithm on the Real-world Affective Faces Database (RAF-DB), the Face Expression Recognition Plus Dataset (FER+), and a private dataset for stroke we collect and annotate a private dataset of stroke patients containing 1302 samples, which can be divided into 8 classes: painful, strained, tired Contribute to meagmohit/EEG-Datasets development by creating an account on GitHub. In our dataset, the patients can be in bed, sitting, or standing, where the background and illumination are usually not under ideal Stroke is a disease that affects the arteries leading to and within the brain. Background & Summary. Models; Datasets; Spaces; Posts; Docs; Enterprise; Pricing Log In Sign Up Datasets: hskha21 / Brain-Stroke-Diagnosis. Large-scale neuroimaging studies have shown promise in identifying robust biomarkers (e. * University of Bristol staff should use this We’re on a journey to advance and democratize artificial intelligence through open source and open science. Our dataset is unique, as compared to existing ones [7,10], face pose can be assumed. Perceptual clinical scores from trained clinicians are provided as metadata. 1. Perceptual clinical Some studies have focused on using physiological signals and imaging data, but the unique approach of analyzing facial features for stroke classification represents a novel research We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. The primary contribution of this work is as follows: (1) Explore and compare influences of the different preprocessing techniques for stroke prediction according to machine learning. By utilizing the YOLOv8 models, the study leverages their advanced architectural improvements to enhance real-time processing capabilities. Dataset card Viewer Files Files and versions Community Subset (1) default · 9. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up Datasets: Nnaodeh Dataset card Viewer Files Files and versions Community 1 main Stroke_Prediction_Dataset. To achieve that was created a special model, using Active appearance model (AAM) algorithm that detected cheek wrinkle line by training face dataset. Early recognition of We’re on a journey to advance and democratize artificial intelligence through open source and open science. Libraries: Datasets. Lesion location and lesion overlap with extant brain structures and Here we present ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata. Abstract: In this paper, we present the first public dataset with videos of oro-facial gestures performed by individuals with orofacial impairment due to neurological disorders, such as Images Data for the Acute Stroke Prediction using Deep Learning Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This is likely due to the larger imbalance of positive/negative cases among African American groups compared to the complete dataset (54 stroke cases, 18 non-stroke cases). Note: This is an AI-generated dataset so its content may be inaccurate or false Difficulty Speaking, Weakness, Difficulty Speaking, Loss of Balance, Difficulty Speaking. Dataset. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up Datasets: Dellano-Samuel / healthcare-airline. StrokeRehab consists of high-quality inertial measurement unit sensor and video data of 51 stroke-impaired patients and 20 healthy subjects performing activities of daily living like Hugging Face. Dataset card Viewer Files Files and versions Community 1 Subset (1) default · 5. 38. , measures of brain structure) of stroke recovery. 11 clinical features for predicting stroke events Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. it’s true that women are more likely than men to die from heart disease and stroke. This patient had a stroke. 11 Cite This Page : Motor dysfunction is one of the most significant sequelae of stroke, with lower limb impairment being a major concern for stroke patients. Sign In Create Account. 11/12/2023 Introduction: Facial droop (FD) is a common symptom (45-60%) of stroke so early detection is critical for timely treatment. The patient's MRI results indicate a primary stroke in the right hemisphere, mainly affecting the occipital lobe and temporal lobe. This large, diverse dataset can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods. Data 5:180011 doi: 10. Dataset card Files Files and versions Community 1 Dataset Viewer. 2 classes. you may still face charges if law enforcement believes you were aware of the illegal activity and failed to report it. Our accessing research data guidance outlines the reasons access may be limited and the request process. This study analyzed a dataset comprising 663 records from patients hospitalized at Hazrat Rasool Akram Hospital in Tehran, Iran, including 401 healthy individuals and 262 stroke patients. FireModel. 6k. Large-scale neuroimaging studies have shown promise in 11 clinical features for predicting stroke events. to get started. stroke_face (v1, 2023-12-21 9:53am), created by project-ieywg 1779 open source stroke_mouth images plus a pre-trained stroke_face model and API. A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. Learn more Stroke Faces - GAN image generation experiment. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. stroke dataset successfully. 3. Tags: Croissant. csv. We aim to conduct a review of machine learning uses in stroke literature to assess the geographic distribution of datasets and patient cohorts used to train these models and compare them to The RGB videos from the Toronto Neuroface Dataset, which were recorded during standard orofacial examinations of 14 people with post-stroke (PS) and 11 healthy controls (HC) were used in this study. The patient tested positive for SARS-CoV-2 and experienced severe ARDS, resulting in 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. Auto-converted to Parquet API. Something went wrong and this page crashed! If the issue Acute ischemic stroke dataset contains 397 Non-Contrast-enhanced CT (NCCT) scans of acute ischemic stroke with the interval from symptom onset to CT less than 24 hours. gpd dxqehty zdluib ucuex dffl lmjbru dduc lfxqo hygo tikt zln oqvnl eoppw ghhiud nbch