Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

SORMAS (Surveillance, Outbreak Response Management and Analysis System) is an early warning and management system to fight the spread of infectious diseases.

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Global Biotic Interactions provides access to existing species interaction datasets

Characterization of Germline variants

Using expert system shells for the development of Expert systems. These shells are empty Expert System knowledge bases, which have the structure and interface already written for us; all we need to do is to add the knowledge into the KB. Instead of writing an Expert System from scratch, for this problem we will be using a small Expert System shell to design and implement an expert system. We used PyKnow Framework for building the concerned expert system.

Python Virus Simulation: Model and visualize epidemic spread using mathematical models (SIR) and interactive dashboards.

A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.

PDD Graph : Bridging MIMIC-III and Linked Data Cloud

Diseases Prediction System though Machine Learning with code and documents

Plant Disease Epidemiology in R

ComptoxAI - An artificial Intelligence toolkit for computational toxicology

Computing term cooccurrence in MEDLINE

A Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases.

An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.

Kidney disease is a chronic (long-lasting) health condition that affects how well your kidneys filter waste and excess fluids from your blood.

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Search the International Classification of Diseases (ICD10) table

AI disease detection and prediction for humans, plants, and animals. Complete ML project with custom training, offline operation, no API keys. Detect diseases from images using deep learning and computer vision. Open-source disease detection system for healthcare, agriculture, and veterinary applications. Full code and deployment guides.

Named Entity Recognition for Disorder, Species, Chemical or Drug, Gene and Protein, Enzyme, Anatomy, Biological Process, Molecular Function, Cellular Component, Pathway and microRNAs.

This repository presents an analysis of care related to the 7 most frequent cancers in 2022, compiling open data provided by FISSAL. This report includes a breakdown of consultations by department, a patient profile by age, insurance and sex, as well as the most requested types of services. The findings are complemented by an interactive dashboard

Água e doenças na Amazônia Legal

[HackIllinois '17] A tool for the patient to expedite the process of meeting with their physician, using accurate ICD codes for quick diagnosis.

Inference of Disease Progressive Level in Single-Cell Data

Systematic assessment of the impacts of climate change on human pathogenic diseases

Machine learning to classify ontology nodes

Interface to the International Classification of Diseases (ICD) API

Based of of the 3b1b video, Simulating and Epidemic, this simulation simulates a disease outbreak in a community.

Sytora is a multilingual symptom-disease classification app. Translation is managed through the UMLS coding standard.

emu430-fall2023-team-data_ciphers created by GitHub Classroom