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Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers

Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers

A future direction is to extend methods outlined by Tausczik and Pennebaker [35] and Zhang and Singh [36] to build a lexicon specific to health care complaints, which could yield superior metrics such as accuracy. Another interesting direction is to evaluate the influence of geography; specifically, do patients from different locations express themselves differently and do their differences in phrasing affect the underlying meaning?

Adel Elmessiry, William O Cooper, Thomas F Catron, Jan Karrass, Zhe Zhang, Munindar P Singh

JMIR Med Inform 2017;5(3):e19

Effect of Door-to-Door Screening and Awareness Generation Activities in the Catchment Areas of Vision Centers on Service Use: Protocol for a Randomized Experimental Study

Effect of Door-to-Door Screening and Awareness Generation Activities in the Catchment Areas of Vision Centers on Service Use: Protocol for a Randomized Experimental Study

P Cost-effectiveness analysis and incremental cost-effectiveness analysis will be performed, and the incremental cost for every additional beneficiary attending the VC will be calculated. To calculate the increase in the number of patients, the average number of patients visiting per day during the same months in the previous year will be subtracted from the average in the study period.

Shalinder Sabherwal, Anand Chinnakaran, Ishaana Sood, Gaurav K Garg, Birendra P Singh, Rajan Shukla, Priya A Reddy, Suzanne Gilbert, Ken Bassett, Gudlavalleti V S Murthy, Operational Research Capacity Building Study Group

JMIR Res Protoc 2021;10(11):e31951

Correction: Effect of Door-to-Door Screening and Awareness Generation Activities in the Catchment Areas of Vision Centers on Service Use: Protocol for a Randomized Experimental Study

Correction: Effect of Door-to-Door Screening and Awareness Generation Activities in the Catchment Areas of Vision Centers on Service Use: Protocol for a Randomized Experimental Study

This text has now been moved instead to the Authors’ Contributions section: The Operational Research Capacity Building Group consists of the following authors, who contributed equally to the paper: Gudlavalleti VS Murthy, Rajan Shukla, Samiksha Singh, Shailaja Tetali, Suresh K Rathi, Hemant Mahajan, Melissa G Lewis, Hira Pant, Tripura Batchu, Anirudh G Gaurang, Suzanne Gilbert, Ken Bassett, Priya A Reddy, Parami Dhakhwa, Ram P Kandel, Kuldeep Singh, and Prasanna Sharma.

Shalinder Sabherwal, Anand Chinnakaran, Ishaana Sood, Gaurav K Garg, Birendra P Singh, Rajan Shukla, Priya A Reddy, Suzanne Gilbert, Ken Bassett, Gudlavalleti V S Murthy, Operational Research Capacity Building Study Group

JMIR Res Protoc 2022;11(1):e35824

Malaria Vector Bionomics: Countrywide Surveillance Study on Implications for Malaria Elimination in India

Malaria Vector Bionomics: Countrywide Surveillance Study on Implications for Malaria Elimination in India

The mosquito specimens preserved in isopropanol underwent molecular identification to distinguish sibling species of An. culicifacies and An. fluviatilis, following the methods outlined by Goswami et al [15] and Singh et al [16], respectively. Blood from the stomachs of fully-fed mosquitoes obtained from the field was collected onto Whatman No. 1 filter paper to identify the source of the blood meal against human and bovine antisera.

Manju Rahi, AK Mishra, Gyan Chand, RK Baharia, RK Hazara, SP Singh, Siraj Khan, U Sreehari, Divya Kamaraju, Gaurav Kumar, Sanjeev Kumar Gupta, Amit Sharma, K Raghavendra, K Gunasekaran, Om P Singh, Sarala K Subbarao

JMIR Public Health Surveill 2024;10:e42050

Twitter Conversations About Pancreatic Cancer by Health Care Providers and the General Public: Thematic Analysis

Twitter Conversations About Pancreatic Cancer by Health Care Providers and the General Public: Thematic Analysis

A comparative analysis showed that health care providers were more likely to initiate conversations related to research (odds ratio [OR] 1.75, 95% CI 1.70-1.79, P Forest plot depicting the odds ratio for conversations related to pancreatic cancer initiated by health care providers and the general public in the domains of policy, research, treatment, survivorship, and prevention.

Udhayvir Singh Grewal, Arjun Gupta, Jamie Doggett, Emil Lou, Niraj J Gusani, Anirban Maitra, Muhammad Shaalan Beg, Allyson J Ocean

JMIR Cancer 2022;8(1):e31388