Multivariate time-series sensor vital sign forecasting of cardiovascular and chronic respiratory diseases

• Published in: Sustainable computing : informatics and systems Vol. 38; p. 100868
• Main Authors: Ahmed, Usman, Lin, Jerry Chun-Wei, Srivastava, Gautam
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.04.2023
• Subjects: Cardiovascular disease; Chronic respiratory disease; Machine learning; Sensor data; Cardiovascular disease; Sensor data; Machine learning; Chronic respiratory disease
• ISSN: 2210-5379; 2210-5387; 2210-5379
• DOI: 10.1016/j.suscom.2023.100868

Approximately 19 million people die each year from cardiovascular and chronic respiratory diseases. As a result of the recent Covid-19 epidemic, blood pressure, cholesterol, and blood sugar levels have risen. Not only do healthcare institutions benefit from studying physiological vital signs, but in...