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11:11 am Invited Talk: Remote Patient Monitoring – Challenges and Opportunities @ Amriteshwari Hall
Invited Talk: Remote Patient Monitoring – Challenges and Opportunities @ Amriteshwari Hall
Aug 13 @ 11:11 am – 11:44 am
Invited Talk: Remote Patient Monitoring – Challenges and Opportunities @ Amriteshwari Hall | Vallikavu | Kerala | India
Jaydeep Unni, Ph.D. Sr. Project Manager, Robert Bosch Healthcare Systems, Palo Alto, CA Remote Patient Monitoring – Challenges and Opportunities Remote Patient Monitoring (RPM) is gaining importance and acceptance with rising number of chronic disease conditions and with increase in
1:20 pm Plenary Talk: Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law @ Sathyam Hall
Plenary Talk: Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law @ Sathyam Hall
Aug 13 @ 1:20 pm – 2:00 pm
Plenary Talk: Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law @ Sathyam Hall | Vallikavu | Kerala | India
Karmeshu, Ph.D. Dean & Professor, School of Computer & Systems Sciences & School of Computational & Integrative Sciences, Jawaharlal Nehru University, India. Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law The study
2:40 pm Invited Talk: Applying Machine learning for Automated Identification of Patient Cohorts @ Sathyam Hall
Invited Talk: Applying Machine learning for Automated Identification of Patient Cohorts @ Sathyam Hall
Aug 13 @ 2:40 pm – 3:05 pm
Invited Talk: Applying Machine learning for Automated Identification of Patient Cohorts @ Sathyam Hall | Vallikavu | Kerala | India
Srisairam Achuthan, Ph.D. Senior Scientific Programmer, Research Informatics Division, Department of Information Sciences, City of Hope, CA, USA Applying Machine learning for Automated Identification of Patient Cohorts Srisairam Achuthan, Mike Chang, Ajay Shah, Joyce Niland Patient cohorts for a clinical