started related work section
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@@ -92,6 +92,8 @@ The irregular example highlights how multiple parameters can vary between indivi
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cycle length, timing of ovulation, temperature shift magnitude between phases, and intra-phase temperature variability.
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This multidimensional variability underscores the need for adaptive, data-driven models capable of learning personalized patterns---
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rather than relying on population-wide assumptions.
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For a regular cycle pattern, sophisticated analysis or predictions are often not necessary, as the last ovulation day
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can reliably be used as the next.
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\begin{figure}[htbp]
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\centering
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@@ -107,8 +109,6 @@ rather than relying on population-wide assumptions.
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\label{fig:background_regular_cycles}
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\end{figure}
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%TODO: show plot of different cycle types
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\subsubsection{Fertility Prediction}\label{subsubsec:fertility_prediction}
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Throughout the menstrual cycle, the chance of fertilization varies significantly.
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An egg cell released from the ovary during ovulation, can be fertilized for up to 24 hours.
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