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title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Algorithm and software development of individual treatment effect estimator using machine learning methods
Creators: name: ÐÐ°Ð¼Ð°Ð»ÐµÑÐ´Ð¸Ð½Ð¾Ð²Ð°, Ð®Ð»Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½ÑÐ¹ ÑÑÑÐµÐºÑ Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ
Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ»ÑÑÐ°Ð¹Ð½ÑÐ¹ Ð»ÐµÑ
ÑÐµÐ³ÑÐµÑÑÐ¸Ñ
ÑÐ°Ð½Ð´Ð¾Ð¼Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ðµ ÐºÐ»Ð¸Ð½Ð¸ÑÐµÑÐºÐ¾Ðµ Ð¸ÑÐ¿ÑÑÐ°Ð½Ð¸Ðµ
Ð¼ÐµÑÐ°-Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ
ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð²
individual treatment effect
data simulation
machine learning
random forest
regression
randomized clinical trial
meta-algorithms
algorithms comparison

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description: The study considers individual treatment effect estimators and their performance depending on the type of response function. The problems covered during the research are: - Researching, reviewing and comparing individual treatment effect estimators and practices under consideration - Development of the programming module for individual treatment effect estimation based on existing machine learning methods using Python programming language - Implementation of algorithm modification based on local linearization and performance evaluation compared to the original methods - Description of the synthetic data model and conducting experiments with different types of response functions Owing to the difficulties in algorithms performance analysis on real data, we conduct experiments on synthetic data generated as described in earlier studies. The overall result of the work is a Python programming module (class) which is semantically close to common machine learning libraries implementing existing estimators. The class contains implementations used in the experiments section. Finally, we present the conclusion and compare the estimators, explain experimental results ââ in terms of both successes and failures.