Biography and Research Information
OverviewAI-generated summary
Adria Abella Villafranca's research has focused on physiological monitoring and modeling during medical procedures. She has investigated critical information derived from arterial and venous pressure waveforms, particularly in the context of anesthesia and hemorrhage. Her work also includes developing models for peripheral arterial and venous pressure signals using integral pulse frequency modulation. Villafranca has explored the significance of heart rate variability in pressure analysis and has contributed to studies on operative time in surgical procedures, specifically laparoscopic cholecystectomy. Her research also extends to forecasting surgical case volumes using long short-term memory models and exploring facilitators and barriers to surgical innovation. Additionally, she has worked on generating knowledge graphs to study the effects of trauma center organization on patient outcomes and has investigated hydration devices in exercise contexts.
Metrics
- h-index: 2
- Publications: 7
- Citations: 9
Selected Publications
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Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes (2025)
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The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025)
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Resident level is associated with operative time in laparoscopic cholecystectomy (2024)
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Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation (2023)
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A long short-term memory model for forecasting the surgical case volumes at a hospital (2023)
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Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage (2022)
Collaboration Network
Top Collaborators
Kevin W. Sexton
Vanderbilt University Medical Center
7 shared publications
In database
- Resident level is associated with operative time in laparoscopic cholecystectomy
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- A long short-term memory model for forecasting the surgical case volumes at a hospital
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Showing 5 of 7 shared publications
Hanna Jensen
University of Arkansas for Medical Sciences (US)
4 shared publications
- Resident level is associated with operative time in laparoscopic cholecystectomy
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Joseph A. Sanford
University of Arkansas for Medical Sciences
4 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- A long short-term memory model for forecasting the surgical case volumes at a hospital
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Sam E. Stephens
University of Arkansas at Fayetteville
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Jingxian Wu
University of Arkansas at Fayetteville
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Morten Ø. Jensen
University of Arkansas at Fayetteville
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Md Abul Hayat
University of Arkansas at Fayetteville (US)
2 shared publications
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
Kenneth R. Turley
Harding University Main Campus (US)
1 shared publication
- Comparison Of A Real-time Hydration Device With Weight Loss And Saliva Osmolality Following Exercise
Elizabeth Grogan
1 shared publication
- Comparison Of A Real-time Hydration Device With Weight Loss And Saliva Osmolality Following Exercise
Megan Stirrup
1 shared publication
- Comparison Of A Real-time Hydration Device With Weight Loss And Saliva Osmolality Following Exercise
Logan Walker
1 shared publication
- Comparison Of A Real-time Hydration Device With Weight Loss And Saliva Osmolality Following Exercise
Lauren D. Crimmins-Pierce
University of Arkansas at Fayetteville
1 shared publication
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
Morten Ø. Jensen
University of Arkansas at Fayetteville (US)
1 shared publication
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
Kaylee Henry
University of Arkansas at Fayetteville (US)
1 shared publication
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
Hieu Bui
University of Arkansas at Fayetteville (US)
1 shared publication
- A long short-term memory model for forecasting the surgical case volumes at a hospital
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