Just a small blog about my issues and my journey. Just until i can afford webhosting and a domain. New to all this, hope to learn quickly
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Updated
Aug 10, 2024 - HTML
Just a small blog about my issues and my journey. Just until i can afford webhosting and a domain. New to all this, hope to learn quickly
Quantitative layer based analysis for renal magnetic resonance imaging.
From dataset https://www.kaggle.com/datasets/safurahajiheidari/kidney-stone-images/data (from Roboflow) a model is obtained, based on yolov10, with that custom dataset, to indicate Kidney_Stone in x-rays.
A collection of scripts for filtering annotated variant call format files
Kidney-Genetics - database of kidney-related genes
This project aims to develop a comprehensive classification system for chronic kidney disease (CKD) to address the growing healthcare challenge in Egypt. By leveraging machine learning and deep learning techniques, we seek to analyze patient data to predict the presence of CKD and facilitate early diagnosis and intervention.
Just college project to learn web 3
3D kidney pathology, WebAR
🏥 Clinical coding of patients with kidney disease using KDIGO clinical practice guidelines
PLD-Progression Grouper - visualize and analyze the progression of Polycystic Liver Disease (PLD) through user-inputted clinical data
predicts the likelihood of someone having multiple diseases
Time-series Renal ENd-stage Decision-Assisting Learner
Dectecting chronic heart disease using machine learning 100%
Predicted chronic kidney disease using biomarkers with Random Forest
Chronic kidney disease (CKD) is a long-term disorder which causes the kidneys to not function as well as they should.Our goal is to predict whether a subject has the chance of getting chronic kidney disease from a given set of data using machine learning.
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
Our goal is to jointly combat these two (Heart and Kidney) diseases and achieve positive outcomes that may also be applied in daily life.
This webapp predict the whether the person have diabetes,heart disease,liver disease,kidney disease , back pain,tuberculosis.
Codes for my project called " Fatty Liver Classification and Scaling: from 0 to 2 using CNN." In this project, I've created my own neural network and trained it with the images of the kidneys with the fat level scaling from 0 to 2. With each given new data to the network, the programme indicates which level of fatness the liver is categorized.
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