Sperm detection and tracking methods from this paper: https://arxiv.org/abs/2002.04034

PeriodTracker - Your Personal Health Companion

This app projects a user-defined Leslie (age-classified) matrix to examine population changes through time.

Code for the paper "Human capital mediates natural selection in contemporary humans"

Android app that helps women interpret ovulation and pregnancy test strips by quantifying using the phone's camera. Still works on Android 10. Original dev open-sourced because of lack of time to maintain (kudos to them). Mirror of https://gitlab.com/colnix/fta

Open Fertility is an open-source project dedicated to advancing fertility analysis and prediction through machine learning.

PrESOgenesis is a Support Vector Machine-based classifier to predict the spermatogenesis/embryogenesis/oogenesis related proteins based on 1920 meaningful protein sequence features.

Excel sheets, Stata do files and other resources related to the article 'Pathways to Low Fertility' by Ian Timaeus and Tom Moultrie

Applied Demography Toolbox

A web application for predicting the chance of an IVF/ICSI cycle yielding a D5 embryo suitable for transfer or freezing.

R code to reproduce models testing for cross-national human fertility patterns relative to underlying drivers

A mobile app that helps TTC couples to track their fertility.

Hauer, Baker, and Brown's Implied Total Fertility Rate Calculator

Farid FLICI personal webpage

Artifacts for the JIB Bahmni distribution

Predicting the probability of an IVF patient having an embryo suitable for D5 transfer or freezing.

Fertility Diagnoser is a web application that utilizes machine learning to predict fertility levels. By inputting relevant data such as age and other factors, users can receive personalized predictions about their fertility. The application seamlessly integrates React and Python, offering a user-friendly interface and accurate predictions.

This project analyzes the demographic transition in the United States, focusing on historical changes in fertility and mortality patterns. Using models like Lee-Carter and Renshaw-Haberman, it explores the impact of socio-economic factors, healthcare advancements, and cultural shifts on population dynamics, forecasting trends for the next 50 years.

Tanulmányomban az egy főre eső GDP és munkanélküliség teljes termékenységi arányszámra gyakorolt hatását elemzem. A választott eszközök között szerepel az Engel-Granger kointegrációs teszt, amellyel megerősítettem a hipotézist, hogy szomszédos országok termékenységi rátájának alakulása általában nagyobb egyezőséget mutat, melynek magyarázata leh…