A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data
The vast personal and economic burden of mood disorders is largely caused by their under-
and misdiagnosis, which is associated with ineffective treatment and worsening of …
and misdiagnosis, which is associated with ineffective treatment and worsening of …
Explainable machine-learning algorithms to differentiate bipolar disorder from major depressive disorder using self-reported symptoms, vital signs, and blood-based …
T Zhu, X Liu, J Wang, R Kou, Y Hu, M Yuan… - Computer Methods and …, 2023 - Elsevier
Background and objective Caused by shared genetic risk factors and similar
neuropsychological symptoms, bipolar disorder (BD) and major depressive disorder (MDD) …
neuropsychological symptoms, bipolar disorder (BD) and major depressive disorder (MDD) …
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
F Colombo, F Calesella, MG Mazza… - Neuroscience & …, 2022 - Elsevier
Applying machine learning (ML) to objective markers may overcome prognosis uncertainty
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
due to the subjective nature of the diagnosis of bipolar disorder (BD). This PRISMA …
A proof of concept machine learning analysis using multimodal neuroimaging and neurocognitive measures as predictive biomarker in bipolar disorder
R Achalia, A Sinha, A Jacob, G Achalia… - Asian journal of …, 2020 - Elsevier
Background Concomitant use of complementary, multimodal imaging measures and
neurocognitive measures is reported to have higher accuracy as a biomarker in Alzheimer's …
neurocognitive measures is reported to have higher accuracy as a biomarker in Alzheimer's …
Selfreport screening instruments differentiate bipolar disorder and borderline personality disorder
BA Palmer, M Pahwa, JR Geske, S Kung… - Brain and …, 2021 - Wiley Online Library
Background Bipolar disorder (BD) and borderline personality disorder (BPD) share
overlapping phenomenology and are frequently misdiagnosed. This study investigated the …
overlapping phenomenology and are frequently misdiagnosed. This study investigated the …
[HTML][HTML] An overview of bipolar disorder diagnosis using machine learning approaches: clinical opportunities and challenges
WA Campos-Ugaz, JPP Garay… - Iranian Journal of …, 2023 - ncbi.nlm.nih.gov
Objective: Automatic diagnosis of psychiatric disorders such as bipolar disorder (BD)
through machine learning techniques has attracted substantial attention from psychiatric and …
through machine learning techniques has attracted substantial attention from psychiatric and …
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder
Mobile technologies offer new opportunities for prospective, high resolution monitoring of
long-term health conditions. The opportunities seem of particular promise in psychiatry …
long-term health conditions. The opportunities seem of particular promise in psychiatry …
A peripheral inflammatory signature discriminates bipolar from unipolar depression: a machine learning approach
Background Mood disorders (major depressive disorder, MDD, and bipolar disorder, BD)
are considered leading causes of life-long disability worldwide, where high rates of no …
are considered leading causes of life-long disability worldwide, where high rates of no …
Individualized identification of euthymic bipolar disorder using the Cambridge Neuropsychological Test Automated Battery (CANTAB) and machine learning
Background Previous studies have reported that patients with bipolar disorder (BD) present
with cognitive impairments during mood episodes as well as euthymic phase. However, it is …
with cognitive impairments during mood episodes as well as euthymic phase. However, it is …
Distinguishing bipolar from unipolar depression: the importance of clinical symptoms and illness features
AK Leonpacher, D Liebers, M Pirooznia… - Psychological …, 2015 - cambridge.org
BackgroundDistinguishing bipolar disorder (BP) from major depressive disorder (MDD) has
important relevance for prognosis and treatment. Prior studies have identified clinical …
important relevance for prognosis and treatment. Prior studies have identified clinical …
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