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Machine learning decision tree models for multiclass classification of prognosis in patient undergoing palliative radiotherapy for bone metastases.

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Title: Machine learning decision tree models for multiclass classification of prognosis in patient undergoing palliative radiotherapy for bone metastases.
Authors: Cilla S; Medical Physics Unit, Responsible Research Hospital, Campobasso, Italy., Rossi R; Palliative Care Unit, IRCCS Istituto Romagnolo Studio Tumori 'Dino Amadori', Meldola, Italy., Habberstad R; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Oncology, St. Olavs University Hospital, Trondheim, Norway., Klepstad P; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Anaesthesiology and Intensive Care Medicine, St Olavs University Hospital, Trondheim, Norway., Agata MD; Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy., Kaasa S; Department of Oncology, Oslo University Hospital, Oslo, Norway., Valenti V; Palliative Care Unit, IRCCS Istituto Romagnolo Studio Tumori 'Dino Amadori', Meldola, Italy., Medici F; Radiation Oncology, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy., Donati CM; Radiation Oncology, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy., Maltoni M; Medical Oncology Unit, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy., Morganti AG; Radiation Oncology, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy.; Radiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Source: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2026 Jul; Vol. 27 (7), pp. e70606.
Publication Type: Journal Article
Journal Info: Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning decision tree models for multiclass classification of prognosis in patient undergoing palliative radiotherapy for bone metastases.
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  Data: <searchLink fieldCode="AU" term="%22Cilla+S%22">Cilla S</searchLink>; Medical Physics Unit, Responsible Research Hospital, Campobasso, Italy.<br /><searchLink fieldCode="AU" term="%22Rossi+R%22">Rossi R</searchLink>; Palliative Care Unit, IRCCS Istituto Romagnolo Studio Tumori 'Dino Amadori', Meldola, Italy.<br /><searchLink fieldCode="AU" term="%22Habberstad+R%22">Habberstad R</searchLink>; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Oncology, St. Olavs University Hospital, Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Klepstad+P%22">Klepstad P</searchLink>; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Anaesthesiology and Intensive Care Medicine, St Olavs University Hospital, Trondheim, Norway.<br /><searchLink fieldCode="AU" term="%22Agata+MD%22">Agata MD</searchLink>; Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy.<br /><searchLink fieldCode="AU" term="%22Kaasa+S%22">Kaasa S</searchLink>; Department of Oncology, Oslo University Hospital, Oslo, Norway.<br /><searchLink fieldCode="AU" term="%22Valenti+V%22">Valenti V</searchLink>; Palliative Care Unit, IRCCS Istituto Romagnolo Studio Tumori 'Dino Amadori', Meldola, Italy.<br /><searchLink fieldCode="AU" term="%22Medici+F%22">Medici F</searchLink>; Radiation Oncology, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Donati+CM%22">Donati CM</searchLink>; Radiation Oncology, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Maltoni+M%22">Maltoni M</searchLink>; Medical Oncology Unit, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.<br /><searchLink fieldCode="AU" term="%22Morganti+AG%22">Morganti AG</searchLink>; Radiation Oncology, Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy.; Radiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
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  Data: <searchLink fieldCode="JN" term="%22101089176%22">Journal of applied clinical medical physics</searchLink> [J Appl Clin Med Phys] 2026 Jul; Vol. 27 (7), pp. e70606.
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              Text: 2026 Jul
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