Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting pregnancy using large-scale data from a women's health
  tracking mobile application   Predicting pregnancy has been a fundamental problem in women's health for
more than 50 years. Previous datasets have been collected via carefully curated
medical studies, but the recent growth of women's health tracking mobile apps
offers potential for reaching a much broader population. However, the
feasibility of predicting pregnancy from mobile health tracking data is
unclear. Here we develop four models -- a logistic regression model, and 3 LSTM
models -- to predict a woman's probability of becoming pregnant using data from
a women's health tracking app, Clue by BioWink GmbH. Evaluating our models on a
dataset of 79 million logs from 65,276 women with ground truth pregnancy test
data, we show that our predicted pregnancy probabilities meaningfully stratify
women: women in the top 10% of predicted probabilities have a 89% chance of
becoming pregnant over 6 menstrual cycles, as compared to a 27% chance for
women in the bottom 10%. We develop a technique for extracting interpretable
time trends from our deep learning models, and show these trends are consistent
with previous fertility research. Our findings illustrate the potential that
women's health tracking data offers for predicting pregnancy on a broader
population; we conclude by discussing the steps needed to fulfill this
potential.

20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex