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Magnus Boman

Explore the profile of Magnus Boman including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 16
Citations 63
Followers 0
Related Specialties
General Medicine
Public Health
Psychiatry
Top 10 Co-Authors
Viktor Kaldo
Fehmi Ben Abdesslem
Erik Forsell
Sandra Eloranta
Nils Hentati Isacsson
Aleksandra Krstic
Joseph F Hayes
Nils Lindefors
John Wallert
David Mataix-Cols
Published In
BMJ Open
Transl Psychiatry
BMJ
Front Psychol
J Intern Med
Affiliations
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Recent Articles
1.
Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico
Silva Sepulveda R, Boman M
Front Public Health . 2025 Jan; 12():1369041. PMID: 39845684
Background: Mexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited...
2.
Predicting maintenance lithium response for bipolar disorder from electronic health records-a retrospective study
Hayes J, Ben Abdesslem F, Eloranta S, Osborn D, Boman M
PeerJ . 2024 Oct; 12:e17841. PMID: 39421428
Background: Optimising maintenance drug treatment selection for people with bipolar disorder is challenging. There is some evidence that clinical and demographic features may predict response to lithium. However, attempts to...
3.
Smart variant filtering - A blueprint solution for massively parallel sequencing-based variant analysis
Brahimllari O, Eloranta S, Georgii-Hemming P, Haider Z, Koch S, Krstic A, et al.
Health Informatics J . 2024 Oct; 30(4):14604582241290725. PMID: 39394057
Massively parallel sequencing helps create new knowledge on genes, variants and their association with disease phenotype. This important technological advancement simultaneously makes clinical decision making, using genomic information for cancer...
4.
Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy
Hentati Isacsson N, Ben Abdesslem F, Forsell E, Boman M, Kaldo V
Commun Med (Lond) . 2024 Oct; 4(1):196. PMID: 39384934
Background: While psychological treatments are effective, a substantial portion of patients do not benefit enough. Early identification of those may allow for adaptive treatment strategies and improved outcomes. We aimed...
5.
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT
Hentati Isacsson N, Zantvoort K, Forsell E, Boman M, Kaldo V
Internet Interv . 2024 Sep; 38:100773. PMID: 39310714
Objective: Predicting who will not benefit enough from Internet-Based Cognitive Behavioral (ICBT) Therapy early on can assist in better allocation of limited mental health care resources. Repeated measures of symptoms...
6.
Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)
Boberg J, Kaldo V, Mataix-Cols D, Crowley J, Roelstraete B, Halvorsen M, et al.
BMJ Open . 2023 Oct; 13(10):e069427. PMID: 37793927
Purpose: Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with depression or anxiety disorders who have undergone highly structured...
7.
Stockholm score of lesion detection on computed tomography following mild traumatic brain injury (SELECT-TBI): study protocol for a multicentre, retrospective, observational cohort study
Fletcher-Sandersjoo A, Tatter C, Yang L, Ponten E, Boman M, Lassaren P, et al.
BMJ Open . 2022 Dec; 12(9):e060679. PMID: 36581962
Introduction: Mild traumatic brain injury (mTBI) is one of the most common reasons for emergency department (ED) visits. A portion of patients with mTBI will develop an intracranial lesion that...
8.
Data-driven support to decision-making in molecular tumour boards for lymphoma: A design science approach
Rodriguez Ruiz N, Own S, Smedby K, Eloranta S, Koch S, Wasterlid T, et al.
Front Oncol . 2022 Dec; 12:984021. PMID: 36457495
Background: The increasing amount of molecular data and knowledge about genomic alterations from next-generation sequencing processes together allow for a greater understanding of individual patients, thereby advancing precision medicine. Molecular...
9.
A genetically informed prediction model for suicidal and aggressive behaviour in teens
Tate A, Akingbuwa W, Karlsson R, Hottenga J, Pool R, Boman M, et al.
Transl Psychiatry . 2022 Nov; 12(1):488. PMID: 36411277
Suicidal and aggressive behaviours cause significant personal and societal burden. As risk factors associated with these behaviours frequently overlap, combined approaches in predicting the behaviours may be useful in identifying...
10.
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data
Wallert J, Boberg J, Kaldo V, Mataix-Cols D, Flygare O, Crowley J, et al.
Transl Psychiatry . 2022 Sep; 12(1):357. PMID: 36050305
This study applied supervised machine learning with multi-modal data to predict remission of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n = 894, 65.5% women, age 18-75 years)...