1. ELARTU — Інституційний репозитарій ТНТУ імені Івана Пулюя
  2. Роботи студентів
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  4. 124 — системний аналіз
Utilize este identificador para referenciar este registo: http://elartu.tntu.edu.ua/handle/lib/48075
Título: Heart Disease Prediction Using Machine Learning Alghorithms
Autor: Naadu, Ali Zulaikha
Affiliation: Тернопільський національний технічний університет імені Івана Пулюя, факультет комп’ютерно-інформаційних систем і програмної інженерії, кафедра комп’ютерних наук, м. Тернопіль, Україна
Bibliographic description (Ukraine): Naadu A. Z Heart Disease Prediction Using Machine Learning Alghorithms : work towards a master's degree : spec. 124 - system analysis / supervisor R. Z. Zolotyi. Ternopil : Ternopil Ivan Puluj National Technical University, 2025. 75 p.
Data: 30-Jan-2025
Submitted date: 16-Jan-2025
Date of entry: 30-Jan-2025
Editora: Тернопільський національний технічний університет імені Івана Пулюя
Country (code): UA
Place of the edition/event: ТНТУ ім. І.Пулюя, ФІС, м. Тернопіль, Україна
Supervisor: Золотий, Роман Захарійович
Zolotyi, Roman Z.
UDC: 004.04
Palavras-chave: system analysis
ssz
learning
pytorch
program
code
Page range: 75
Resumo: During the course of the thesis, a fully functional software for generating crosswords was obtained, which runs on the Windows operating system. The interface of the created program is convenient, simple, and intuitive improves its capabilities The developed application is a tool for interactively creating crossword forms and filling them in. In other words, it is a crossword generator. Similar applications can be used by various publications that either specialize in publishing crosswords or sometimes decorate their products with them. The developed software satisfies all the requirements set at the task formulation stage.
Content: INTRODUCTION 6 1. ANALYSIS OF DEVELOPMENTS ON THE TOPIC OF THE WORK 8 1.1. Justification of the relevance of the chosen topic 8 1.2. Areas of application 10 1.3. Justification of the feasibility of improving existing solutions 12 1.4. Problem statement 13 2. PRINCIPLES OF MACHINE LEARNING AND DATA PROCESSING ALGORITHMS 15 2.1. History of machine learning 15 2.2. Application areas and frameworks 19 2.3. Working principles and methods 23 3. DEVELOPMENT OF PROGRAM STRUCTURE AND ALGORITHMS 32 3.1. Model 32 3.2. Materials and methods 36 3.3. Results of work 43 3.4. Software 50 3.5. Auxiliary devices 51 3.6. Work scheme 60 4 SAFETY OF LIFE, BASIC LABOR PROTECTION 64 4.1. Effects of electromagnetic radiation on the human body 64 4.2 Types of hazards 67 4.3 Road Transport Safety 70 4.4 Conclusions 70 CONCLUSIONS 72 REFERNCES 73
URI: http://elartu.tntu.edu.ua/handle/lib/48075
Copyright owner: © Ali Zulaikha Naadu, 2025
References (Ukraine): 1. Mancia, S. Oparil, PK Whelton, M. McKee, A. Dominiczak, FC Lu ft, K. AlHabib, F. Lanas, A. Damasceno, D. Prabhakaran, G. La Torre The technical report on sodium intake and cardiovascular disease in low-and middle-income countries by the joint working group of the World Heart Federation, the European Society of Hypertension and the European Public Health Association Eur Heart J, 38 [Text], (10) (2017). 712-719 p.
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17. Y. Leshchyshyn, L. Scherbak, O. Nazarevych, V. Gotovych, P. Tymkiv and G. Shymchuk, «Multicomponent Model of the Heart Rate Variability Change-point,» 2019 IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), Polyana, Ukraine, 2019, pp. 110-113, doi: 10.1109/MEMSTECH.2019.8817379.
18. Lytvynenko, S. Lupenko, O. Nazarevych, G. Shymchuk and V. Hotovych, «Mathematical model of gas consumption process in the form of cyclic random process,» 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT), LVIV, Ukraine, 2021, pp. 232-235, doi: 10.1109/CSIT52700.2021.9648621.
19. V. Kozlovskyi, Y. Balanyuk, H. Martyniuk, O. Nazarevych, L. Scherbak and G. Shymchuk, «Information Technology for Estimating City Gas Consumption During the Year,» 2022 International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 2022, pp. 1-4, doi: 10.1109/SIST54437.2022.9945786.
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22. Конспект лекцій з дисципліни «Грід-системи та технології хмарних обчислень» для студентів освітніх рівнів «бакалавр», «магістр» / Укладачі : Шимчук Г.В., Маєвський О.В., Назаревич О.Б., Стадник М.А. – Тернопіль : Тернопільський національний технічний університет імені Івана Пулюя, 2016 – 340 с.
Content type: Master Thesis
Aparece nas colecções:124 — системний аналіз

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