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Full-Text Articles in Medicine and Health Sciences
Assessment Of Risk In Preterm Infants Using Point Process And Machine Learning Approaches, Venkata Naga Sai Apurupa Amperayani
Assessment Of Risk In Preterm Infants Using Point Process And Machine Learning Approaches, Venkata Naga Sai Apurupa Amperayani
Electrical Engineering Theses
Preemies, infants who are born too soon, have a higher incidence of Life-Threatening Events (LTE’s) such as apnea (cessation of breathing), bradycardia (slowing of heart rate) and hypoxemia (oxygen desaturation) also termed as ABD (Apnea, Bradycardia, and Desaturation) events. Clinicians at Neonatal Intensive Care Units (NICU) are facing the demanding task of assessing the risk of infants based on their physiological signals. The aim of this thesis is to develop a risk stratification algorithm using a machine-learning framework with the features related to pathological fluctuations derived from point process model that will be embedded into the current physiological recording system …
Real-Time Detection Of Cravings In Individuals With Substance Abuse Using Wearable Biosensors And Machine Learning, Keerthi Kumar Chintha
Real-Time Detection Of Cravings In Individuals With Substance Abuse Using Wearable Biosensors And Machine Learning, Keerthi Kumar Chintha
Electrical Engineering Theses
Deaths in the US have drastically increased over the past decade due to addictive behaviors and drugs. According to the World Health Organization (WHO), 1 in 20 adults between the age of 15 and 64 years are addicted to at least one illicit drug; globally, 29 million people are suffering from drug use disorder. The addiction of narcotics alters a person’s primary function as well as critical areas of the brain due to multiple reasons like genetics, hereditary, stress or pressure, and mental health conditions. It not only affects an individual but also their families. Intensive research has been launched …