mlsanityData to 7 Oct 2026

A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries

arXiv 2111.01786 ↗First posted 2 Nov 2021stat.ML cs.LGcited by 5

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Abstract (arXiv)

Maternal and child mortality is a public health problem that disproportionately affects low- and middle-income countries. Every day, 800 women and 6,700 newborns die from complications related to pregnancy or childbirth. And for every maternal death, about 20 women suffer serious birth injuries. However, nearly all of these deaths and negative health outcomes are preventable. Midwives are key to revert this situation, and thus it is essential to strengthen their capacities and the quality of their education. This is the aim of the Safe Delivery App, a digital job aid and learning tool to enhance the knowledge, confidence and skills of health practitioners. Here, we use the behavioral logs of the App to implement a recommendation system that presents each midwife with suitable contents to continue gaining expertise. We focus on predicting the click-through rate, the probability that a given user will click on a recommended content. We evaluate four deep learning models and show that all of them produce highly accurate predictions.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 7 of its 28 references that are in the map. First posted on arXiv 2 Nov 2021.

Builds on

7 of 28 references.

References · 7

  1. 2017Attention Is All You Needcited by 59,932
  2. 2017DeepFM: A Factorization-Machine based Neural Network for CTR Predictioncited by 673
  3. 2017Deep & Cross Network for Ad Click Predictionscited by 392
  4. 2018xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systemscited by 277
  5. 2016Product-based Neural Networks for User Response Predictioncited by 145
  6. 2021Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logscited by 6
  7. 2018A Machine-Learning Item Recommendation System for Video Gamescited by 5

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Cited by year

Citing papers per year: 2022: 2; 2023: 2; 2024: 1.

5 papers.