Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS,…

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Tracking and collecting papers/projects/others related to Segment Anything.

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Deep-Learning framework for multi-omic and survival data integration

Graph CNNs for population graphs

Med-BERT, contextualized embedding model for structured EHR data

Code for BEHRT: Transformer for Electronic Health Records

Chronic Disease Prediction Using Medical Notes

This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients …

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

Heart Disease prediction using 5 algorithms