SYSTEM AND METHOD FOR COMPLIANCE PREDICTION BASED ON DEVICE USAGE AND PATIENT DEMOGRAPHICS
A system and method for providing compliance predictions for using a respiratory pressure therapy device in a treatment regimen is disclosed. The system includes a respiratory pressure therapy device having a transmitter and an air control device to provide respiratory therapy to a patient. The resp...
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| creator | GAO, Zhao RAGHAVAN, Badri MYJER, Ian William Charles SHUKLA, Prakhar HOFLER, Timothy WOO, Sunghee KOHLI, Amar STEFFERSON, Michael DEY, Sourav Raj MAYNARD, John E LADHA, Manish DITTMER, Grant Hilton NG, Alexander Bruce CARPENTER, Jason Matthew HERNANDEZ, Ryan Matnew HITOV, Sam GHOSHAL, Kaushik FIEDLER, Alexander M HO, Yuen Sang MOHTA, Vivek SUNDERJI, Tameez KUCAN, Jakov BAKER, Stanley Jackson Spencer HAYES, Josh CHEN, Justin |
| description | A system and method for providing compliance predictions for using a respiratory pressure therapy device in a treatment regimen is disclosed. The system includes a respiratory pressure therapy device having a transmitter and an air control device to provide respiratory therapy to a patient. The respiratory pressure therapy device collects operational data and transmits the collected operational data. Demographic data of the patient is collected. A predicted compliance with the treatment regimen is determined based on inputting operational data and demographic data to a machine learning compliance prediction model having a compliance prediction output. The machine learning model is trained from the operational data and demographic data of a population of patients using respiratory pressure therapy devices. |
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The system includes a respiratory pressure therapy device having a transmitter and an air control device to provide respiratory therapy to a patient. The respiratory pressure therapy device collects operational data and transmits the collected operational data. Demographic data of the patient is collected. A predicted compliance with the treatment regimen is determined based on inputting operational data and demographic data to a machine learning compliance prediction model having a compliance prediction output. The machine learning model is trained from the operational data and demographic data of a population of patients using respiratory pressure therapy devices.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | SYSTEM AND METHOD FOR COMPLIANCE PREDICTION BASED ON DEVICE USAGE AND PATIENT DEMOGRAPHICS |
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