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Doc-Assist-BOT
PublicA disease prediction model that predicts the disease from the symptomshealthcare_ml
PublicDeepReg
Publicecg-mit-bih
PublicECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced atnni
Publictapas
PublicHumanDiseaseOntology
Publicrealworld
Publicscisumm-corpus
PublicEpiModel
PublicPyHealth
PublicSymptomOntology
PublicThe symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient indicative of a disease”. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden it…acl20-ref-free-eval
PublicHeart-Disease-Prediction
Publicgossis
Public- The Pathogen Transmission Ontology describes the tranmission methods of human disease pathogens describing how a pathogen is transmitted from one host, reservoir, or source to another host. The pathogen transmission may occur either directly or indirectly and may involve animate vectors or inanimate vehicles. The Pathogen Transmission Ontology i…
COVID-19
Publichetionet
Publicmimic3-benchmarks
Publicclicr
PublicDeepEHR
Publicdisease_Scraper
Publicsymptom-disease
Publicdisease-info
PublicDiseaseClassifier
Public