Predictive Modeling of Osteoporosis: A Machine Learning Approach Based on Electromagnetic Signals

• Published in: IEEE sensors journal Vol. 25; no. 13; pp. 23471 - 23478
• Main Authors: Shrivastava, Nishtha, Ghosh, Debalina, Kumar Sahu, Prasant
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biomedical applications of electromagnetic (EM) radiation; biomedical engineering; bone mineral density (BMD); Bones; Classification; dielectric properties of bones; Dielectrics; Effectiveness; Ionizing radiation; Machine learning; machine learning (ML); Measurement methods; Microwave theory and techniques; Minerals; Osteoporosis; Permittivity; Prediction models; Savitzky-Golay filter; Skin; Tissues; Transmitting antennas; Wrist

Osteoporosis is a medical condition characterized by a reduction in bone mineral density (BMD) and consequent increase in bone permittivity and is generally diagnosed using BMD measurements. However, the diagnosis relies on estimated BMD compared to healthy individuals, which can inherently exhibit...