Embedded Files
Major Projects
Major Projects
Quantization of Respiratory Distress Severity : A Machine Learning Approach to Prevent Unexpected Hospital DeathsInternship Project, GE Healthcare, May 2018 - July 2018
DeepSino: Super Resolution of Undersampled Noisy 2D Sinogram using Deep LearningCourse Project-Medical Imaging, IISc, Jan 2018 - Apr 2018Convolutional Neural Network to outperform filtered back projection and other iterative reconstruction for under-sampled data. A replica of DnCNN (Denoising Convolutional Neural Network, 20 layer residual learning newtwork) trained and tested to remove of Gaussian & Poisson noise and up-sample sinogram in a single pass.
Intelligent Interactive Virtual BotUndergraduate Project, IIT Roorke, Apr 2007 - May 2008Minor Projects
Minor Projects
Image Denoising and Super-Resolution using Residual Learning of Deep Convolutional NetworkCourse Project-Data Analysis and Visualization, IISc, Jan 2018 - Apr 2018
DeblurCNN : Convolutional Neural Network to Deblur ImagesExperimental Project, IISc, Aug 2018A 20 layer DnCNN (Denoising Neural Network) trained to remove blur introduced by averaging filter.
New approach to Academic GradingCourse Project-Artificial Neural Networks, IIT Roorkee, Feb 2008 - Apr 2008An application developed using MATLAB’s Fuzzy Inference System Tools
Database Management System for Library (in C & Fox Pro Language)Course Project-Informatics Practices, XII Grade, 2004 A library database management system in C language and in Fox Pro (with Graphical User Interface).
My Python Notebooks : Data Science in Healthcare
My Python Notebooks : Data Science in Healthcare
Predicting No-Show for Medical Appointmentshttps://github.com/rohit-pardasani/MedicalAppointmentsNoShow
Based on information of patient we predict whether patient will show up or medical appointment or not
Model used: Multinomial Naive Bayes Classifier
Problem Statement & Dataset: Courtsey Kaggle https://www.kaggle.com/joniarroba/noshowappointments
Google Sites
Report abuse