In Memoriam: Professor Joseph Biederman's Contributions to Child and Adolescent Psychiatry
SV Faraone, JH Newcorn, J Wozniak… - Journal of attention …, 2024 - journals.sagepub.com
Objective: To provide an overview of Joe Biederman's contributions to child and adolescent
psychiatry. Method: Nine colleagues described his contributions to: psychopharmacology …
psychiatry. Method: Nine colleagues described his contributions to: psychopharmacology …
Predicting which patients with cancer will see a psychiatrist or counsellor from their initial oncology consultation document using natural language processing
Background Patients with cancer often have unmet psychosocial needs. Early detection of
who requires referral to a counsellor or psychiatrist may improve their care. This work used …
who requires referral to a counsellor or psychiatrist may improve their care. This work used …
Machine learning algorithms to the early diagnosis of fetal alcohol spectrum disorders
A Ramos-Triguero, E Navarro-Tapia… - Frontiers in …, 2024 - frontiersin.org
Introduction Fetal alcohol spectrum disorders include a variety of physical and
neurocognitive disorders caused by prenatal alcohol exposure. Although their overall …
neurocognitive disorders caused by prenatal alcohol exposure. Although their overall …
[HTML][HTML] Predicting adolescent psychopathology from early life factors: A machine learning tutorial
F Siddique, BK Lee - Global Epidemiology, 2024 - Elsevier
Objective The successful implementation and interpretation of machine learning (ML)
models in epidemiological studies can be challenging without an extensive programming …
models in epidemiological studies can be challenging without an extensive programming …
Machine Learning Models for the Prediction of Early-Onset Bipolar Using Electronic Health Records
Objective Early identification of bipolar disorder (BD) provides an important opportunity for
timely intervention. In this study, we aimed to develop machine learning models using large …
timely intervention. In this study, we aimed to develop machine learning models using large …
Refining criteria for a neurodevelopmental sub-phenotype of bipolar disorders: a FondaMental Advanced Centers of Expertise for Bipolar Disorders study
A Lefrere, O Godin, S Jamain… - Biological …, 2024 - biologicalpsychiatryjournal.com
Background Bipolar disorder (BD) is a complex and heterogeneous psychiatric disorder.
Neurodevelopmental factors were suggested to contribute to the etiology of BD, yet a …
Neurodevelopmental factors were suggested to contribute to the etiology of BD, yet a …
Diagnósticos neuropsiquiátricos na população infanto-juvenil
MJS Silva, RSM de Medeiros… - Revista Eletrônica …, 2024 - acervomais.com.br
Objetivo: Abordar os transtornos e doenças neuropsiquiátricas que mais acomete a
população infanto-juvenil. Revisão bibliográfica: Nos últimos anos, os transtornos …
população infanto-juvenil. Revisão bibliográfica: Nos últimos anos, os transtornos …
Modelling The Nexus between Parenting Style and Anti Social Behavior using Ensemble Learning Approach
AA Permana, MF Romdendine - G-Tech: Jurnal …, 2023 - garuda.kemdikbud.go.id
Contemporary society is grappling with issues of anti-social behavior in children and
adolescents, one of which is influenced by parenting styles. This research employs machine …
adolescents, one of which is influenced by parenting styles. This research employs machine …