Magnus Boman

Om mig
Publikationer
Populärvetenskap och samverkan

Om mig

Jag är professor i artificiell intelligens (AI) inom hälsa vid avdelningen Medicin, Solna, Klinisk Epidemiologi (KEP).
För mer information, se min engelska profilsida.

Artiklar

Article: INTERNET INTERVENTIONS-THE APPLICATION OF INFORMATION TECHNOLOGY IN MENTAL AND BEHAVIOURAL HEALTH. 2025;40:100816
Study protocol for a triple-blind randomised controlled trial evaluating a machine learning-based predictive clinical decision support tool for internet-delivered cognitive behaviour therapy (ICBT) for depression and anxiety
Bjurner P; Isacsson NH; Ben Abdesslem F; Boman M; Forsell E; Kaldo V
Article: JOURNAL OF INTERNAL MEDICINE. 2025;297(6):693-701
Common genetic variants do not impact clinical prediction of methotrexate treatment outcomes in early rheumatoid arthritis
Sysojev AO; Delcoigne B; Frisell T; Alfredsson L; Klareskog L; Saevarsdottir S; Boman M; Padyukov L; Askling J; Westerlind H
Article: JMIR RESEARCH PROTOCOLS. 2025;14:e65790
Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol fora Predictive Modeling Study
Foyen LF; Sennerstam V; Kontio E; Flygare O; Boman M; Lindsater E
Article: INTERNET INTERVENTIONS-THE APPLICATION OF INFORMATION TECHNOLOGY IN MENTAL AND BEHAVIOURAL HEALTH. 2024;38:100773
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT
Isacsson NH; Zantvoort K; Forsell E; Boman M; Kaldo V
Article: COMMUNICATIONS MEDICINE. 2024;4(1):196
Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy
Isacsson NH; Ben Abdesslem F; Forsell E; Boman M; Kaldo V
Article: HEALTH INFORMATICS JOURNAL. 2024;30(4):14604582241290725
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; Skarp FP; Rosenquist R; Smedby KE; Taylan F; Thorvaldsdottir B; Wirta V; Wasterlid T; Boman M
Article: SCIENTIFIC REPORTS. 2024;14(1):8036
Refining outcome prediction after traumatic brain injury with machine learning algorithms
Bark D; Boman M; Depreitere B; Wright DW; Lewen A; Enblad P; Hanell A; Rostami E
Article: FRONTIERS IN PUBLIC HEALTH. 2024;12:1369041
Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico
Sepulveda RS; Boman M
Article: PEERJ. 2024;12:e17841
Predicting maintenance lithium response for bipolar disorder from electronic health records-a retrospective study
Hayes JF; Ben Abdesslem F; Eloranta S; Osborn DPJ; Boman M
Journal article: DIGITAL SOCIETY. 2023;2(3):46
Human-Curated Validation of Machine Learning Algorithms for Health Data
Boman M
Article: BMJ OPEN. 2023;13(10):e069427
Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)
Boberg J; Kaldo V; Mataix-Cols D; Crowley JJ; Roelstraete B; Halvorsen M; Forsell E; Isacsson NH; Sullivan PF; Svanborg C; Andersson EH; Lindefors N; Kravchenko O; Mattheisen M; Danielsdottir HB; Ivanova E; Boman M; Fernandez de la Cruz L; Wallert J; Ruck C
Journal article: BRAIN AND SPINE. 2023;3:101963
Evaluation and external validation of machine learning models predicting full spectrum GOSE outcome following traumatic brain injury
Bark D; Boman M; Depreitere B; Wright DW; Lewén A; Enblad P; Hånell A; Rostami E
Article: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 2022;19(4):4779-4793
Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH)
Behravesh R; Rao A; Perez-Ramirez DF; Harutyunyan D; Riggio R; Boman M
Article: TRANSLATIONAL PSYCHIATRY. 2022;12(1):488
A genetically informed prediction model for suicidal and aggressive behaviour in teens
Tate AE; Akingbuwa WA; Karlsson R; Hottenga J-J; Pool R; Boman M; Larsson H; Lundstrom S; Lichtenstein P; Middeldorp CM; Bartels M; Kuja-Halkola R
Journal article: EUROPEAN NEUROPSYCHOPHARMACOLOGY. 2022;63:e138-e139
MULTI-PSYCH - A MULTIMODAL DATA PROJECT FOR DEPRESSION AND ANXIETY DISORDERS IN SWEDISH ROUTINE CLINICAL CARE
Wallert J; Boberg J; Kaldo V; Roelstraete B; Crowley J; Halvorsen M; Isacsson NH; Sullivan P; Kravchenko O; Mattheisen M; Ivanova E; Boman M; Fernandez de la Cruz L; Mataix-Cols D; Ruck C
Article: BMJ OPEN. 2022;12(9):e060679
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; Forsberg S; Gronlund I; Tidehag V; Rubenson-Wahlin R; Strommer L; Westberg K; Angeby K; Djarv T; Lundblad O; Bartek JJ; Thelin EP
Article: TRANSLATIONAL PSYCHIATRY. 2022;12(1):357
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 JJ; Halvorsen M; Ben Abdesslem F; Boman M; Andersson E; Isacsson NH; Ivanova E; Ruck C
Article: FRONTIERS IN ONCOLOGY. 2022;12:984021
Data-driven support to decision-making in molecular tumour boards for lymphoma: A design science approach
Ruiz NR; Abd Own S; Smedby KE; Eloranta S; Koch S; Wasterlid T; Krstic A; Boman M
Article: PEERJ COMPUTER SCIENCE. 2021;7:e804
Comparing supervised and unsupervised approaches to multimodal emotion recognition
Carbonell MF; Boman M; Laukka P
Article: BMC MEDICINE. 2021;19(1):99
Prediction of individuals at high risk of chronic kidney disease during treatment with lithium for bipolar disorder
Hayes JF; Osborn DPJ; Francis E; Ambler G; Tomlinson LA; Boman M; Wong ICK; Geddes JR; Dalman C; Lewis G
Article: FRONTIERS IN PSYCHOLOGY. 2020;11:567310
Toward Learning Machines at a Mother and Baby Unit
Boman M; Downs J; Karali A; Pawlby S
Article: JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY. 2020;88(4):311-321
Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety Using Only Weekly Symptom Measures
Forsell E; Isacsson N; Blom K; Jernelov S; Ben Abdesslem F; Lindefors N; Boman M; Kaldo V
Article: IEEE ACCESS. 2020;8:120388-120416
Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking
Vesselinova N; Steinert R; Perez-Ramirez DF; Boman M
Journal article: PROGRESS IN ARTIFICIAL INTELLIGENCE. 2019;8(4):475-485
Learning machines in Internet-delivered psychological treatment
Boman M; Ben Abdesslem F; Forsell E; Gillblad D; Gornerup O; Isacsson N; Sahlgren M; Kaldo V
Article: PHYSICAL REVIEW E. 2018;98(5):052101
Modeling reservoir computing with the discrete nonlinear Schrodinger equation
Borlenghi S; Boman M; Delin A
Article: GLOBAL HEALTH ACTION. 2017;10(sup3):1321904
Supporting global health goals with information and communications technology
Boman M; Kruse E
Article: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. 2015;101:147-164
Networked foresight-The case of EIT ICT Labs
Heger T; Boman M
Journal article: KI - KUNSTLICHE INTELLIGENZ. 2015;29(2):143-152
Sensemaking in Intelligent Health Data Analytics
Boman M; Sanches P
Journal article: NETWORK AND COMMUNICATION TECHNOLOGIES. 2013;2(1)
Knowing Your Population: Privacy-Sensitive Mining of Massive Data
Sanches P; Svee E-O; Bylund M; Hirsch B; Boman M
Article: JOURNAL OF COMPUTATIONAL SCIENCE. 2011;2(3):216-222
A workflow for software development within computational epidemiology
Cakici B; Boman M
Article: EUROSURVEILLANCE. 2010;15(35):19651-24
Micro-simulation of a smallpox outbreak using official register data
Brouwers L; Boman M; Camitz M; Makila K; Tegnell A
Article: EUROSURVEILLANCE. 2009;14(37):19333-11
ECONOMIC CONSEQUENCES TO SOCIETY OF PANDEMIC H1N1 INFLUENZA 2009-PRELIMINARY RESULTS FOR SWEDEN
Brouwers L; Cakici B; Camitz M; Tegnell A; Boman M
Article: DECISION SUPPORT SYSTEMS. 2006;42(1):318-327
Implementing an agent trade server
Boman M; Sandin A
Article: INFORMATION SCIENCES. 2005;171(4):293-307
Distributed monitoring and control of office buildings by embedded agents
Davidsson P; Boman M
Journal article: ACM TRANSACTIONS ON INTERNET TECHNOLOGY. 2004;4(3):329-339
Agent trade servers in financial exchange systems
Lybäck D; Boman M
Journal article: INFO. 2004;6(3):169-171
Seamless mobility:more than it seems
Thorngren B; Andersson P; Bohlin E; Boman M
Article: PERSONAL AND UBIQUITOUS COMPUTING. 2004;8(1):42-46
Mobile access to real-time information-the case of autonomous stock brokering
Nylander S; Bylund M; Boman M
Article: FLUCTUATION AND NOISE LETTERS. 2002;2(4):L343-L348
Analytical expressions for Parrondo games
Rasmusson L; Boman M
Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):149-158
Agent-Based Social Simulation in Markets
Bertels K; Boman M
Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):159-168
Artificial Agent Action in Markets
Boman M; Brouwers L; Hansson K; Jansson C-G; Kummeneje J; Verhagen H
Journal article: JOURNAL OF RISK RESEARCH. 2001;4(1):31-47
General risk constraints
Ekenberg L; Boman M; Linnerooth-Bayer J
Journal article: ARTIFICIAL INTELLIGENCE AND LAW. 1999;7(1):17-35
Norms in artificial decision making
Boman M
Article: DECISION SUPPORT SYSTEMS. 1997;20(1):3-15
Imposing security constraints on agent-based decision support
Ekenberg L; Danielson M; Boman M
Article: INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS. 1996;5(2-3):315-331
From local assessments to global rationality
Ekenberg L; Danielson M; Boman M
Journal article: APPLIED ARTIFICIAL INTELLIGENCE. 1994;8(4):543-563
FIELDED MACHINE LEARNING SYSTEM FOR VOCATIONAL COUNSELLING
KJELLIN H; BOMAN M
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