My Ph.D. thesis finished and defended at the Brno University of Technology (2018). The package contains all necessary files such as bibtex, template, texts, figures, and all other files according to http://latex.feec.vutbr.cz
Knowledge-based system for diagnosing mental illnesses (or signs): anxiety disorder, depression, obsessive compulsive and bipolarity.
Aplikasi python untuk diagnosa penyakit kepala ringan | Kelompok 4
Dr. AI is an innovative virtual health assistant application designed to provide users with personalized health advice, symptom checking, medication information, and more. Our mission is to make health information accessible, reliable, and comprehensive.
A makeshift webserver exposing a prediction endpoint, written in R.
Streamline Diagnosis is a simple and efficient diagnosis system designed to analyze and predict various diseases using raw data. Powered by the JPEN (JSON-Python-Embedded-Node) stack, it offers a beautiful UI/UX while employing advanced machine learning techniques for accurate predictions.
This repository contains the code to interpret the classification of the Plus disease in Rethinopathy of Prematurity images by a deep CNN. This paper is to be presented at SPIE2019 Medical Imaging at the Computer Aided Diagnosis track.
Graph neural networks (GNNs) to improve the diagnosis of lung cancer based on gene expression profiles. The project aims to explore the potential of GNNs in leveraging the network structure of biomarkers to enhance classification accuracy.
High grade rearranged endometrial stromal sarcoma. A Bayesian analysis.
This prototype seeks to alleviate the complexities by identifying pain points in the diagnostic journey and providing a user-friendly platform for managing animal data. This project incorporates machine learning models to enhance diagnostic accuracy, focusing on fungal diseases.
Python FastDiagP implementation
Predicting the readmission of Diabetic patients using Machine Learning based on various factors.
Framework agnostic application health and requirement checks.
CADx Platform
Diagnosis of Heart Disease
Exploring predictive K-Means Clustering, and Random Forest Classifiers in Breast Cancer diagnostics. I then work on "unboxing" the RFA to investigate feature contribution priorities - an important process in the pursuit of algorithm transparency, particularly in light of the ethical issues raised as industries shift towards complex neural algori…
A set of Maven-based libraries for High-Performance Knowledge Based Configuration Techniques
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