Combining Weather and Pollution Indicators with Insurance Claims for Identifying and Predicting Asthma Prevalence and Hospitalizations

Autor:	Divya Mehrish, Laurent D. Hasson, Jakka Sairamesh, Monica Sharma
Rok vydání:	2021
Předmět:	Insurance claims Age groups business.industry Clinical history Environmental health Health care medicine Emergency department business medicine.disease Affect (psychology) Environmental data Asthma
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783030732707 IHIET (Strasbourg)
DOI:	10.1007/978-3-030-74009-2_58
Popis:	This study examines how particular risk factors, including weather, age, gender, and environmental exposures, affect asthma prevalence and hospitalization rates in southwestern Pennsylvania, the 5th most populous state in the U.S.A, located in the northeastern part of the country. This research uses novel machine learning approaches, advanced programming and data analysis techniques with medical trends and patient outcomes, highlighting the applications of statistical computing in human healthcare. This study examines how outcomes such as asthma prevalence, hospitalizations, acute length of stay, emergency department visits, and readmission rates correlate with clinical history and seasonal daily environmental data for particular age groups and gender. This study found that asthma prevalence, asthma-related hospitalizations, emergency department visits, and hospital readmissions negatively correlate with temperature and the presence of PM2.5 and positively correlate with NO2.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::922bee12e8a3d106b53e1b80e9629564 https://doi.org/10.1007/978-3-030-74009-2_58 Zobrazit plný text záznamu