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SORMAS (Surveillance, Outbreak Response Management and Analysis System) is an early warning and management system to fight the spread of infectious diseases.
Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020
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.
Simulating epidemics using Python
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
Computing term cooccurrence in MEDLINE
ComptoxAI - An artificial Intelligence toolkit for computational toxicology
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.
Search the International Classification of Diseases (ICD10) table
Named Entity Recognition for Disorder, Species, Chemical or Drug, Gene and Protein, Enzyme, Anatomy, Biological Process, Molecular Function, Cellular Component, Pathway and microRNAs.
Systematic assessment of the impacts of climate change on human pathogenic diseases