Cs230.stanford.edu

Prognostic Health Management for Turbofan Engines

The sensor readings xs; xv and model health parameters are obtained from a simulation software. This sensor consists of noise and is much … See more

Actived: 1 days ago

URL: http://cs230.stanford.edu/projects_spring_2021/reports/15.pdf

Predicting Respiratory Illness using Chest X-rays

WebFigure 2: The red, left-most bounding box was predicted by the trained Faster-RCNN teacher model, whereas the right-most blue box is the true bounding box of the disease.

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Deep Learning Methods for Alzheimer’s Disease Prediction

Web3 Dataset and Features Our data is obtained from Kaggle. In particular, the data was compiled in 2020 by Sarvesh Dubey.[1] He hand-collected images and

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Looking for Low Vision in Electronic Health Records

Web2 Related work EHR data has a rich set of patient characteristics used for a wide variety of prediction problems in healthcare. A deep learning model using EHR data has been …

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Healthcare: Alzheimer’s Disease Stage Diagnosis, Applying 3D

Web[10] proposes a 3D CNN with the use of an autoencoder, in order to learn relevant features of the scan using the CAD-Dementia dataset [11] and demonstrates superior …

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CS 230 Final Project Report

WebCS 230 – Final Project Report Daniel Jun Dataset and Features The data used in this project was from the HAM10000 dataset [9], which consists of 10,015 dermatoscopic

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Predicting Depression Symptoms Using omics Data

Webeach individual at ﬁve primary time points: before the retreat, during the retreat (during which data was collected daily for psychological surveys and thrice for -omics data), one …

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Human Activity Recognition for Healthcare Applications

WebHuman Activity Recognition for Healthcare Applications Reetika Agarwal SCPD Stanford University [email protected] Myra Kurosu Jalil Dept of Mechanical Eng

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Stanford University

Webnumber of within-hospital transfers, subject sex, admission type, and number of abnormal labs. These features are specifically chosen as the entire EHR set is too large to utilize, …

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Denoising Diffusion MRI

Web3 Data Features The dataset we have used is constructed from a 760µm open source diffusion dataset. [9] This unique dataset contains 18 separate Brain diffusion MRI ﬁles …

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Detecting COVID-19 Fake News Using Deep Learning

Webbest performing baseline model with F1 scores of 0.89 and 0.90 for real and fake news, respectively. Surprisingly, our Naive Bayes baseline model performed better than our …

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Classification of Respiratory Sounds

WebResults and Analysis The first model had a train accuracy of 48.69% and a test accuracy of 50%. This was already performing at a higher level than the SVM initially used on the …

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Convolutional Neural Networks to Detect Plant Disease in …

Webrepresented. However, there are some exceptions with few subcategories. For example, blueberries only have healthy leaf images, and oranges only have one disease class with …

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neXt-Ray: Deep Learning on Bone X-Rays

WebOur model takes as input an upper-extremity Bone X-Ray scan and runs it through a CNN, outputting the probability of abnormality. If the probability is greater than 0.5, we predict …

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FallDetectNet: A Computer Vision Platform for Fall Detection

Web4.2 Data Augmentation In order to increase the diversity in images of falls and not-falls our model sees, we implemented data augmentation in our model using the …

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Prediction of Surgical Crowdfunding Campaign Success using …

Web2 Related work Characteristics of online crowdfunding campaigns for medical conditions remain understudied. To our knowledge, this is the first study to specifically examine …

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A ResNet-50-based Transfer Learning and Ensemble Method …

WebA ResNet-50-based Transfer Learning and Ensemble Method for Structural Health Monitoring Langston Nashold Stanford University [email protected]

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CS 230 Project Milestone: Multimodal Financial Market-Crash …

Webencoder is a pre-trained model that is publicly available in TensorFlow Hub. To feed the matrix into this pre-trained model, we ﬁrst merge the top 25 headlines for each day into …

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RecipeNet: Image to Recipe/Nutritional Information Generator

WebThere have also been a variety of approaches used to tackle the food recognition issue. In 2010, Yang et al. proposed to learn spatial relationships between ingredients using …

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Stanford University

WebBye Bye human doctors, welcome Personal Al Doctor RESULT Reduce cost of primary care Increase access to medical opinion Improve quality of healthcare

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