136 lines
4.8 KiB
TeX
136 lines
4.8 KiB
TeX
%! Author = alex
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%! Date = 3/6/25
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% Preamble
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\documentclass[a4paper, 12pt]{article}
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\usepackage[utf8]{inputenc}
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% Packages
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\usepackage{amsmath}
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\usepackage{array}
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\usepackage{amsfonts}
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\usepackage{booktabs}
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\usepackage{tabularx}
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\usepackage{pdflscape}
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\usepackage{adjustbox}
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\usepackage{multirow}
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\usepackage{subcaption}
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\usepackage{blindtext}
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\usepackage[a4paper, margin=1in]{geometry}
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\usepackage[toc,page]{appendix}
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\usepackage{graphicx}
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\graphicspath{{resources/figures/}}
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\usepackage[style=ieee, backend=biber]{biblatex}
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\addbibresource{../main.bib}
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\usepackage{hyperref}
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\hypersetup{
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colorlinks = true,
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linkcolor = black,
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citecolor = black,
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urlcolor = black
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}
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% Document
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\begin{document}
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\begin{titlepage}
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\centering
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{\large \textbf{Leipzig University}}\\[1.5cm]
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{\large Faculty of Mathematics and Computer Science}\\[1cm]
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\includegraphics[width=7cm]{leipzig_university_logo}\\[1cm] % Adjust size as needed
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{\huge \textbf{Body-Core Temperature based Fertility Prediction with Machine Learning}}\\[1.5cm]
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\textbf{Master’s Thesis}\\[1cm]
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\textbf{Author:}\\
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Alexander Blank\\ [0.2cm]
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Matriculation Number: \\
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3796505\\ [0.5cm]
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\textbf{Supervisor:}\\
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Prof. Bogdan Franczyk\\
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Dr. Christian Alvermann\\[1.5cm]
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\textbf{Date:} September 2025\\[1.5cm]
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\textbf{Master of Science: Data Science}\\
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\textbf{Leipzig University}\\[1cm]
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\textit{In collaboration with VivoSensMedical GmbH}
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\end{titlepage}
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\pagebreak
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\begin{abstract}
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This thesis investigates the feasibility of predicting fertility from high-resolution body
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core temperature data using machine learning.
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More than 40,000 cycles recorded with an intravaginal sensor were used to train and evaluate recurrent,
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transformer-based, and convolutional model variants.
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Results show that while LSTM models achieved the lowest error on standard metrics,
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transformer-based architectures performed more robustly in use case evaluations
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for contraception and natural family planning (NFP).
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Predictions were substantially more accurate in regular cycles than in irregular ones,
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underlining both the promise and the limits of temperature-based approaches.
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A pre-ovulatory temperature drop was identified as a relevant physiological marker influencing fertility probability.
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In simulated use cases, model predictions substantially reduced simulated pregnancy risk compared to
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baseline methods and improved timing for conception efforts.
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Despite the limitations of retrospective labeling, noisy real-world data,
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and the restriction to temperature as a single modality,
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the study demonstrates that machine learning can meaningfully advance individualized fertility prediction.
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These results provide a foundation for future multimodal approaches and for the development of adaptive, user-tailored fertility support tools.
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\end{abstract}
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\pagebreak
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\tableofcontents
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\include{sections/introduction}
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\include{sections/background}
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\include{sections/related_work}
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\include{sections/methodology}
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\include{sections/results}
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\include{sections/discussion}
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\include{sections/conclusion}
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\printbibliography
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\include{sections/appendix}
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\pagebreak
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\section*{Declaration of Use of AI-Assisted Writing Tools}
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Parts of this thesis were prepared with the assistance of generative AI tools, including OpenAI’s ChatGPT .
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These tools were used to improve clarity, coherence, and fluency of the written language,
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to rephrase technical explanations for greater precision, and to support structural editing.
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At no point were generative models used to produce scientific content, generate results, or conduct analysis.
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All AI-generated suggestions were critically reviewed, adapted, and verified by me to ensure their accuracy and relevance.
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The outputs served solely as editorial support and did not replace my own academic work or authorship.
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Responsibility for the content, structure, and conclusions of this thesis remains entirely my own.
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\pagebreak
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Ich versichere, dass ich die vorliegende Arbeit selbstständig und nur unter Verwendung der
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angegebenen Quellen und Hilfsmittel angefertigt habe, insbesondere sind wörtliche oder
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sinngemäße Zitate als solche gekennzeichnet. Mir ist bekannt, dass Zuwiderhandlung auch
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nachträglich zur Aberkennung des Abschlusses führen kann.
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Ich versichere, dass das elektronische Exemplar mit den gedruckten Exemplaren übereinstimmt.
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\vspace{2cm}
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\noindent
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\begin{tabular*}{\textwidth}{@{\extracolsep{\fill}} l c r}
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Ort: & Datum: & Unterschrift: \\
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\end{tabular*}
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\pagebreak
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\end{document} |