Nonparametric Estimation of Blood Alcohol Concentration from Transdermal Alcohol Measurements Using Alcohol Biosensor Devices

Kryshchenko, Alona; Sirlanci, Melike; Vader, Bryan

doi:10.1007/978-3-030-79891-8_13

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Future research may choose to consider how such moderators affect the TAC-BAC relationship. Furthermore, it is important to note that while we chose to analyze the data using a machine learning approach, other frameworks beyond linear regression exist that can be well suited for the modeling of complex relationships (Kryshchenko et al, 2021;Oszkinat et al, 2022;Sirlanci et al, 2018Sirlanci et al, , 2019. Specifically, first principles models require less data because…”

Section: Discussionmentioning

confidence: 99%

“…Future research may choose to consider how such moderators affect the TAC‐BAC relationship. Furthermore, it is important to note that while we chose to analyze the data using a machine learning approach, other frameworks beyond linear regression exist that can be well suited for the modeling of complex relationships (Kryshchenko et al, 2021; Oszkinat et al, 2022; Sirlanci et al, 2018, 2019). Specifically, first principles models require less data because they leverage expert knowledge to model for TAC‐BAC translation; whereas machine learning approaches are more data‐driven and can potentially uncover previously unknown associations between variables given enough data.…”

Section: Discussionmentioning

confidence: 99%

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Examining new‐generation transdermal alcohol biosensor performance across laboratory and field contexts

Ariss

Fairbairn

Bosch

2022

Alcohol: Clinical and Experimental Research

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Examining new‐generation transdermal alcohol biosensor performance across laboratory and field contexts

Ariss

Fairbairn

Bosch

2022

Alcohol: Clinical and Experimental Research

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“…It can tell the difference between alcohol that has been consumed and alcohol that has been exposed to the skin (such as lotions or perfumes that contain alcohol. [ 115 ] Proof TM Milo Sensors, California, USA Wrist Bracelet is utilized for detection of alcohol using enzymatic electrochemical biosensor cartridge coupled with a smartphone app. [ 116 ] BACtrack Skyn BACKtrack, San Francisco, California Wrist BACtrack Skyn is able to detect intoxication by monitoring the concentration of ethanol molecules in the sweat.…”

Section: Biosensors In a Forensic Toxicological Analysismentioning

confidence: 99%

Advancing biological investigations using portable sensors for detection of sensitive samples

Mir,

Wani,

Akhtar

et al. 2023

Heliyon

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Computation of nonparametric, mixed effects, maximum likelihood, biosensor data based-estimators for the distributions of random parameters in an abstract parabolic model for the transdermal transport of alcohol

Asserian,

Luczak,

Rosen

2023

MBE

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<abstract><p>The existence and consistency of a maximum likelihood estimator for the joint probability distribution of random parameters in discrete-time abstract parabolic systems was established by taking a nonparametric approach in the context of a mixed effects statistical model using a Prohorov metric framework on a set of feasible measures. A theoretical convergence result for a finite dimensional approximation scheme for computing the maximum likelihood estimator was also established and the efficacy of the approach was demonstrated by applying the scheme to the transdermal transport of alcohol modeled by a random parabolic partial differential equation (PDE). Numerical studies included show that the maximum likelihood estimator is statistically consistent, demonstrated by the convergence of the estimated distribution to the "true" distribution in an example involving simulated data. The algorithm developed was then applied to two datasets collected using two different transdermal alcohol biosensors. Using the leave-one-out cross-validation (LOOCV) method, we found an estimate for the distribution of the random parameters based on a training set. The input from a test drinking episode was then used to quantify the uncertainty propagated from the random parameters to the output of the model in the form of a $ 95% $ error band surrounding the estimated output signal.</p></abstract>

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Nonparametric Estimation of Blood Alcohol Concentration from Transdermal Alcohol Measurements Using Alcohol Biosensor Devices

Cited by 3 publications

References 13 publications

Examining new‐generation transdermal alcohol biosensor performance across laboratory and field contexts

Examining new‐generation transdermal alcohol biosensor performance across laboratory and field contexts

Advancing biological investigations using portable sensors for detection of sensitive samples

Computation of nonparametric, mixed effects, maximum likelihood, biosensor data based-estimators for the distributions of random parameters in an abstract parabolic model for the transdermal transport of alcohol

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