Using automated voice calls to improve adherence to iron supplements during pregnancy: a pilot study. - Niranjan Pai; Pradnya Supe; Shailesh Kore; Y. S. Nandanwar; Aparna Hegde; Edward Cutrell; William Thies (ICTD (1), 2013)

Assessing the Impact of Mobile-based Intervention on Health Literacy among Pregnant Women in Urban India. - Aparna Hegde; Riddhi Doshi (AMIA, 2016)

Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes. - Siddharth Nishtala; Lovish Madaan; Aditya Mate; Harshavardhan Kamarthi; Anirudh Grama; Divy Thakkar; Dhyanesh Narayanan; Suresh Chaudhary; Neha Madhiwalla; Ramesh Padmanabhan; Aparna Hegde; Pradeep Varakantham; et al. (CoRR, 2021)

Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health. - Aditya Mate; Lovish Madaan; Aparna Taneja; Neha Madhiwalla; Shresth Verma; Gargi Singh; Aparna Hegde; Pradeep Varakantham; Milind Tambe (AAAI, 2022)

Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (CoRR, 2022)

Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. - Jackson A. Killian; Arpita Biswas; Lily Xu; Shresth Verma; Vineet Nair; Aparna Taneja; Aparna Hegde; Neha Madhiwalla; Paula Rodriguez Diaz; Sonja Johnson-Yu; Milind Tambe (AAAI, 2023)

Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care. - Shresth Verma; Gargi Singh; Aditya Mate; Paritosh Verma; Sruthi Gorantla; Neha Madhiwalla; Aparna Hegde; Divy Thakkar; Manish Jain; Milind Tambe; Aparna Taneja (AAAI, 2023)

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (AAAI, 2023)

Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. - Shresth Verma; Aditya Mate; Kai Wang 040; Neha Madhiwalla; Aparna Hegde; Aparna Taneja; Milind Tambe (AAMAS, 2023)

Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation. - Arshika Lalan; Shresth Verma; Kumar Madhu Sudan; Amrita Mahale; Aparna Hegde; Milind Tambe; Aparna Taneja (CoRR, 2023)

Expanding impact of mobile health programs: SAHELI for maternal and child care. - Shresth Verma; Gargi Singh; Aditya Mate; Paritosh Verma; Sruthi Gorantla; Neha Madhiwalla; Aparna Hegde; Divy Thakkar; Manish Jain; Milind Tambe; Aparna Taneja (AI Mag., 2023)

Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms. - Arshika Lalan; Shresth Verma; Paula Rodriguez Diaz; Panayiotis Danassis; Amrita Mahale; Kumar Madhu Sudan; Aparna Hegde; Milind Tambe; Aparna Taneja (AAAI, 2024)

Leveraging AI to improve health information access in the World's largest maternal mobile health program. - Shresth Verma; Arshika Lalan; Paula Rodriguez Diaz; Panayiotis Danassis; Amrita Mahale; Kumar Madhu Sudan; Aparna Hegde; Milind Tambe; Aparna Taneja (AI Mag., 2024)

Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours. - Arpan Dasgupta; Sarvesh Gharat; Neha Madhiwalla; Aparna Hegde; Milind Tambe; Aparna Taneja (CoRR, 2025)