Deep Neural Network to Identify Patients with Alcohol Use Disorder

This paper presents an application of deep neural networks (DNN) to identify patients with Alcohol Use Disorder based on historical electronic health records. Our methodology consists of four stages including data collection, preprocessing, predictive model development, and validation. Data are collected from two sources and labeled into three classes including Normal, Hazardous, and Harmful drinkers. Moreover, problems such as imbalanced classes, noise, and categorical variables were handled. A four-layer fully-connected feedforward DNN architecture was designed and developed to predict Normal, Hazardous, and Harmful drinkers. Results show that our proposed method could successfully classify about 96%, 82%, and 89% of Normal, Hazardous, and Harmful drinkers, respectively, which is better than classical machine learning approaches.

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The Stunting Tool for Early Prevention: development and external validation of a novel tool to predict risk of stunting in children at 3 years of age

BMJ Global Health ◽

10.1136/bmjgh-2019-001801 ◽

2019 ◽

Vol 4 (6) ◽

pp. e001801

Author(s):

Sarah Hanieh ◽

Sabine Braat ◽

Julie A Simpson ◽

Tran Thi Thu Ha ◽

Thach D Tran ◽

...

Keyword(s):

Characteristic Curve ◽

External Validation ◽

Model Development ◽

Validation Data ◽

Data Set ◽

Growth Faltering ◽

Development Data ◽

Gestational Age At Birth ◽

Development And Validation ◽

The Impact

IntroductionGlobally, an estimated 151 million children under 5 years of age still suffer from the adverse effects of stunting. We sought to develop and externally validate an early life predictive model that could be applied in infancy to accurately predict risk of stunting in preschool children.MethodsWe conducted two separate prospective cohort studies in Vietnam that intensively monitored children from early pregnancy until 3 years of age. They included 1168 and 475 live-born infants for model development and validation, respectively. Logistic regression on child stunting at 3 years of age was performed for model development, and the predicted probabilities for stunting were used to evaluate the performance of this model in the validation data set.ResultsStunting prevalence was 16.9% (172 of 1015) in the development data set and 16.4% (70 of 426) in the validation data set. Key predictors included in the final model were paternal and maternal height, maternal weekly weight gain during pregnancy, infant sex, gestational age at birth, and infant weight and length at 6 months of age. The area under the receiver operating characteristic curve in the validation data set was 0.85 (95% Confidence Interval, 0.80–0.90).ConclusionThis tool applied to infants at 6 months of age provided valid prediction of risk of stunting at 3 years of age using a readily available set of parental and infant measures. Further research is required to examine the impact of preventive measures introduced at 6 months of age on those identified as being at risk of growth faltering at 3 years of age.

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DSM-5 alcohol use disorder features among treatment-seeking older adults

SUCHT - Zeitschrift für Wissenschaft und Praxis / Journal of Addiction Research and Practice ◽

10.1024/0939-5911/a000550 ◽

2018 ◽

Vol 64 (4) ◽

pp. 185-196 ◽

Cited By ~ 2

Author(s):

Silke Behrendt ◽

Barbara Braun ◽

Randi Bilberg ◽

Gerhard Bühringer ◽

Michael Bogenschutz ◽

...

Keyword(s):

Older Adults ◽

Alcohol Use ◽

Alcohol Use Disorder ◽

The Elderly ◽

Treatment Seeking ◽

Controlled Clinical Trial ◽

Dsm 5 ◽

Wide Range ◽

And Gender ◽

International Multicenter

Abstract. Background: The number of older adults with alcohol use disorder (AUD) is expected to rise. Adapted treatments for this group are lacking and information on AUD features in treatment seeking older adults is scarce. The international multicenter randomized-controlled clinical trial “ELDERLY-Study” with few exclusion criteria was conducted to investigate two outpatient AUD-treatments for adults aged 60+ with DSM-5 AUD. Aims: To add to 1) basic methodological information on the ELDERLY-Study by providing information on AUD features in ELDERLY-participants taking into account country and gender, and 2) knowledge on AUD features in older adults seeking outpatient treatment. Methods: baseline data from the German and Danish ELDERLY-sites (n=544) were used. AUD diagnoses were obtained with the Mini International Neuropsychiatric Interview, alcohol use information with Form 90. Results: Lost control, desired control, mental/physical problem, and craving were the most prevalent (> 70 %) AUD-symptoms. 54.9 % reported severe DSM-5 AUD (moderate: 28.2 %, mild: 16.9 %). Mean daily alcohol use was 6.3 drinks at 12 grams ethanol each. 93.9 % reported binging. More intense alcohol use was associated with greater AUD-severity and male gender. Country effects showed for alcohol use and AUD-severity. Conclusion: European ELDERLY-participants presented typical dependence symptoms, a wide range of severity, and intense alcohol use. This may underline the clinical significance of AUD in treatment-seeking seniors.

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Persönliche vs. computerbasierte Alkoholintervention für Krankenhauspatienten: Studiendesign

SUCHT - Zeitschrift für Wissenschaft und Praxis / Journal of Addiction Research and Practice ◽

10.1024/0939-5911.a000394 ◽

2015 ◽

Vol 61 (6) ◽

pp. 347-355 ◽

Cited By ~ 2

Author(s):

Jennis Freyer-Adam ◽

Sophie Baumann ◽

Inga Schnuerer ◽

Katja Haberecht ◽

Ulrich John ◽

...

Keyword(s):

Public Health ◽

Alcohol Use ◽

Alcohol Use Disorder ◽

Identification Test ◽

Disorder Identification

Zusammenfassung. Ziel: Persönliche Beratungen können bei stationären Krankenhauspatienten Alkoholkonsum und Mortalität reduzieren. Sie sind jedoch mit hohen Kosten verbunden, wenn aus Public-Health-Erfordernis viele Menschen einer Bevölkerung erreicht werden müssen. Computerbasierte Interventionen stellen eine Alternative dar. Jedoch ist ihre Wirksamkeit im Vergleich zu persönlichen Beratungen und im Allgemeinkrankenhaus noch unklar. Eine quasi-randomisierte Kontrollgruppenstudie „Die Bedeutung der Vermittlungsform für Alkoholinterventionen bei Allgemeinkrankenhauspatienten: Persönlich vs. Computerisiert“ soll dies untersuchen. Design und Methoden werden beschrieben. Methode: Über 18 Monate sind alle 18- bis 64-jährigen Patienten auf Stationen der Universitätsmedizin Greifswald mittels Alcohol Use Disorder Identification Test (AUDIT) zu screenen. Frauen/Männer mit AUDIT-Consumption ≥ 4/5 und AUDIT < 20 werden einer von drei Gruppen zugeordnet: persönliche Intervention (Beratungen zur Konsumreduktion), computerbasierte Intervention (individualisierte Rückmeldebriefe und Broschüren) und Kontrollgruppe. Beide Interventionen erfolgen im Krankenhaus sowie telefonisch bzw. postalisch nach 1 und 3 Monaten. In computergestützten Telefoninterviews nach 6, 12, 18 und 24 Monaten wird Alkoholkonsum erfragt. Schlussfolgerung: Das Studienvorhaben, sofern erfolgreich umgesetzt, ist geeignet die längerfristige Wirksamkeit einer persönlichen und computerbasierten Intervention im Vergleich zu untersuchen.

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