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  1. Article

    Open Access

    Development and application of a weighted change score to evaluate interventions for vasomotor symptoms in patients with breast cancer using regression trees: a cohort study

    Vasomotor symptoms (VMS) are common among individuals with breast cancer (BC) and poorly managed symptoms are associated with reduced quality of life, treatment discontinuation, and poorer breast cancer outcom...

    Katherine Marie Cole, Sharon McGee, Mark Clemons in Breast Cancer Research and Treatment (2024)

  2. Article

    Open Access

    Using machine learning to predict individual patient toxicities from cancer treatments

    Machine learning (ML) is a powerful tool for interrogating datasets and learning relationships between multiple variables. We utilized a ML model to identify those early breast cancer (EBC) patients at highes...

    Katherine Marie Cole, Mark Clemons, Sharon McGee in Supportive Care in Cancer (2022)

  3. Article

    Vasomotor symptoms in early breast cancer—a “real world” exploration of the patient experience

    Despite the frequency of vasomotor symptoms (VMS) in patients with early breast cancer (EBC), their optimal management remains unknown. A patient survey was performed to determine perspectives on this importan...

    Katherine Marie Cole, Mark Clemons, Mashari Alzahrani in Supportive Care in Cancer (2022)

  4. Article

    Develo** patient-centred strategies to optimize the management of vasomotor symptoms in breast cancer patients: a survey of health care providers

    Vasomotor symptoms (VMS) such as hot flashes and night sweats are common in breast cancer patients and can affect both quality of life and treatment adherence. However, there is limited practical data to guide...

    Katherine Marie Cole, Mark Clemons in Breast Cancer Research and Treatment (2021)