Example code from the book "Deep Learning for the Life Sciences"

Plant Disease Detector Web Application

Disease Prediction based on Symptoms.

Use CNN to detect nodules in LIDC dataset.

Classification of Breast Cancer diagnosis Using Support Vector Machines

The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

Skin cancer detection project

Training a decision tree to predict diseases from symptoms.

Supplemental code for "the architecture of SARS-CoV-2 transcriptome" paper

Extract 3'UTR, 5'UTR, CDS, Promoter, Genes, Introns, Exons from GTF files

Heart Disease prediction using 5 algorithms

The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by…

Machine-curated database of genetic disease and genome-wide association studies

Using available datasets of Symptoms X diseases, I generate a graph of the same with the subgraphs consisting of illness and symptom nodes. There would be two kinds of nodes- the Symptom or Factor …

Heart disease classifier web app

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

Heart Disease Analysis repository

A simple symptom to disease prediction with Machine Learning.

Cardiovascular diseases incidence probability estimation model

Predict heart disease by using Adaboost and Random Forest Classifier