Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation

no code implementations • 13 Nov 2023 • Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja

Mobile health programs are becoming an increasingly popular medium for dissemination of health information among beneficiaries in less privileged communities.

Time Series Time Series Prediction

Impact of data-splits on generalization: Identifying COVID-19 from cough and context

1 code implementation • 5 Jun 2021 • Makkunda Sharma, Nikhil Shenoy, Jigar Doshi, Piyush Bagad, Aman Dalmia, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agrawal, Rahul Panicker

Using cough and context (symptoms and meta-data) represent such a promising approach.

Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds

1 code implementation • 17 Sep 2020 • Piyush Bagad, Aman Dalmia, Jigar Doshi, Arsha Nagrani, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agarwal, Rahul Panicker

Testing capacity for COVID-19 remains a challenge globally due to the lack of adequate supplies, trained personnel, and sample-processing equipment.