Felsted, Jennifer

A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data

Golas, S. B., Shibahara, T., Agboola, S., Otaki, H., Sato, J., Nakae, T., Hisamitsu, T., Kojima, G., Felsted, J., Kakarmath, S., et al. (2018) · BMC Medical Informatics and Decision Making

Machine Learning in HealthcareArtificial Intelligence in Healthcare

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Provider- and Patient-Related Barriers to and Facilitators of Digital Health Technology Adoption for Hypertension Management: Scoping Review

Palacholla, R. S., Fischer, N., Coleman, A., Agboola, S., Kirley, K., Felsted, J., Katz, C., Lloyd, S., & Jethwani, K. (2019) · JMIR Cardio

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

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Genetically Determined Differences in Brain Response to a Primary Food Reward: Figure 1.

Felsted, J. A., Ren, X., Chouinard-Decorte, F., & Small, D. M. (2010) · The Journal of Neuroscience

Neurotransmitter Receptor Influence on BehaviorRegulation of Appetite and Obesity

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Astrocytic BDNF signaling within the ventromedial hypothalamus regulates energy homeostasis

Ameroso, D., Meng, A., Chen, S., Felsted, J., Dulla, C. G., & Rios, M. (2022) · Nature Metabolism

Regulation of Appetite and ObesityNeuroscience and Neuropharmacology Research

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