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Profil bibliographique

Caroline Wachtler

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

84Publications signalées
1397Citations signalées
6Affiliations récentes

Les institutions déclarées

Les domaines associés

Treatment of Major DepressionSchizophrenia research and treatmentFrailty in Older AdultsArtificial Intelligence in HealthcareChronic Disease Management Strategies

Les publications récentes

Accès ouvert 2026 other OpenAlex

Comparing geriatric assessment tools for predicting negative health outcomes in older adults

Ahmad Abbadi, Francesco Innocenti, Giorgi Beridze, Emmanouil Kokoroskos et autres

Abstract Background Amid global population aging, evidence-based geriatric assessment tools are essential for clinical decision-making and risk stratification. Despite growing interest, few studies have comprehensively compared the discriminative ability of existing tools, particularly as new tools have recently become available. In this …

se, us, it (code pays fourni par la source)

0 citations Figshare
Accès ouvert 2026 other OpenAlex

Comparing geriatric assessment tools for predicting negative health outcomes in older adults

Ahmad Abbadi, Francesco Innocenti, Giorgi Beridze, Emmanouil Kokoroskos et autres

Abstract Background Amid global population aging, evidence-based geriatric assessment tools are essential for clinical decision-making and risk stratification. Despite growing interest, few studies have comprehensively compared the discriminative ability of existing tools, particularly as new tools have recently become available. In this …

se, us, it (code pays fourni par la source)

0 citations Figshare
Accès ouvert 2026 article OpenAlex

Comparing geriatric assessment tools for predicting negative health outcomes in older adults

Ahmad Abbadi, Francesco Innocenti, Giorgi Beridze, Emmanouil Kokoroskos et autres

BACKGROUND: Amid global population aging, evidence-based geriatric assessment tools are essential for clinical decision-making and risk stratification. Despite growing interest, few studies have comprehensively compared the discriminative ability of existing tools, particularly as new tools have recently become available. In this study, …

se, it, gb (code pays fourni par la source)

0 citations BMC Medicine
Accès ouvert 2026 article OpenAlex

Feasibility and acceptability of the Health Assessment Tool (HAT) in Swedish primary care: insights into older patients’ needs and professional perspectives

Emmanouil Kokoroskos, Ahmad Abbadi, Amaia Calderón‐Larrañaga, Caroline Wachtler

BACKGROUND: The Health Assessment Tool (HAT) is a validated instrument designed to comprehensively assess the health of older adults. This study examinedthe feasibility and acceptability of implementing the HAT in Swedish primary care, while exploring older patients' needs and professional perspectives, drawing …

se, mt (code pays fourni par la source)

1 citation Scandinavian Journal of Primary Health Care
Accès ouvert 2026 article OpenAlex

A machine learning model to simplify recognition of patients with atrial fibrillation based on diagnostic codes in Swedish primary health care

Anders Norrman, Caroline Wachtler, Per Wändell, Julia Eriksson et autres

BACKGROUND: Atrial fibrillation (AF) is a major risk factor for atherothrombotic complications but is often asymptomatic and undiagnosed. This study aimed to develop a machine learning model to distinguish between individuals with low and high risk of AF, using routinely collected diagnostic …

se (code pays fourni par la source)

0 citations BMC Medical Informatics and Decision Making
Accès ouvert 2026 other OpenAlex

A machine learning model to simplify recognition of patients with atrial fibrillation based on diagnostic codes in Swedish primary health care

Anders Norrman, Caroline Wachtler, Per Wändell, Julia Eriksson et autres

Abstract Background Atrial fibrillation (AF) is a major risk factor for atherothrombotic complications but is often asymptomatic and undiagnosed. This study aimed to develop a machine learning model to distinguish between individuals with low and high risk of AF, using routinely collected …

se (code pays fourni par la source)

0 citations Figshare

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