Deep magnitude management of clinical code embeddings to predict unplanned hospital readmissionsBignoumba, Nzamba; Bertl, Markus; Mellouli, Nedra; Ben Yahia, SadokResearch Square2024 / 32 p. : ill https://doi.org//10.21203/rs.3.rs-4705729/v1

Detecting Simpson’s paradox : a step towards fairness in machine learningSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Bertl, Markus; Ankit, Vidyarthi; Ashwani, Kumar; Draheim, DirkNew Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022 : proceedings2022 / p. 67-76 : ill https://doi.org/10.1007/978-3-031-15743-1_7 Conference proceedings at Scopus Article at Scopus Article at WOS

Evaluation of data quality in the Estonian National Health Information System for digital decision supportBertl, Markus; Kankainen, Kristian Juha Ismo; Piho, Gunnar; Draheim, Dirk; Ross, PeeterProceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023) : Leicester, United Kingdom, July 21, 2023. Vol. 34402023 / paper 1, 13 p. : ill https://ceur-ws.org/Vol-3440/paper1.pdf Conference proceedings at Scopus Article at Scopus

Evaluation of deep learning-based depression detection using medical claims dataBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkArtificial intelligence in medicine2024 / art. 102745, 16 p. : ill https://doi.org/10.1016/j.artmed.2023.102745

Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987

Finding indicator diseases of psychiatric disorders in BigData using Clustered Association rule miningBertl, Markus; Shahin, Mahtab; Ross, Peeter; Draheim, DirkSAC '23: proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing : Tallinn Estonia, March 27-31, 20232023 / art. 4, p. 826-833 : tab https://doi.org/10.1145/3555776.3577594

Future opportunities for systematic AI support in healthcareBertl, Markus; Piho, Gunnar; Draheim, Dirk; Ross, Peeter; Pechmann, Ludwig; Bucciarelli, Nicholas; Sharma, RahulBridging the Gap Between AI and Reality : First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, Selected Papers2024 / p. 203 - 224 https://doi.org/10.1007/978-3-031-73741-1_13 Conference Proceedings at Scopus Article at Scopus

How domain engineering can help to raise adoption rates of artificial intelligence in healthcareBertl, Markus; Klementi, Toomas; Piho, Gunnar; Ross, Peeter; Draheim, DirkInformation Integration and Web Intelligence, 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-48316-5_1 Conference proceedings at Scopus Article at Scopus

Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing dataBertl, Markus; Ross, Peeter; Draheim, DirkDatabase and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I2021 / p. 104-111 https://doi.org/10.1007/978-3-030-86472-9_9 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

A survey on AI and decision support systems in psychiatry – Uncovering a dilemmaBertl, Markus; Ross, Peeter; Draheim, DirkExpert Systems with Applications2022 / art. 117464, 14 p. : ill https://doi.org/10.1016/j.eswa.2022.117464 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Systematic AI support for decision-making in the healthcare sector : obstacles and success factorsBertl, Markus; Ross, Peeter; Draheim, DirkHealth policy and technology2023 / art. 100748, 8 p. : ill https://doi.org/10.1016/j.hlpt.2023.100748 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistikBertl, Markus2023 https://doi.org/10.23658/taltech.57/2023 https://digikogu.taltech.ee/et/Item/a77022c7-b2af-46f9-ae83-62fe04f9bc72 https://www.ester.ee/record=b5645221*est

A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorderBertl, Markus; Metsallik, Janek; Ross, PeeterFrontiers in Psychiatry2022 / art. 923613, 13 p. : ill https://doi.org/10.3389/fpsyt.2022.923613 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS