[HTML][HTML] Data mining algorithm predicts a range of adverse outcomes in major depression

HM Van Loo, TB Bigdeli, Y Milaneschi… - Journal of Affective …, 2020 - Elsevier
Background Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …

[PDF][PDF] Data mining algorithm predicts a range of adverse outcomes in major depression

HM van Loo, TB Bigdeli, Y Milaneschi… - Journal of Affective …, 2020 - core.ac.uk
Background: Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …

Data mining algorithm predicts a range of adverse outcomes in major depression.

HM van Loo, TB Bigdeli, Y Milaneschi… - Journal of Affective …, 2020 - europepmc.org
Background Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …

[PDF][PDF] Data mining algorithm predicts a range of adverse outcomes in major depression

HM van Loo, TB Bigdeli, Y Milaneschi… - Journal of Affective …, 2020 - scholar.archive.org
Background: Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …

Data mining algorithm predicts a range of adverse outcomes in major depression

HM van Loo, TB Bigdeli… - Journal of …, 2020 - researchinformation.amsterdamumc …
Background: Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …

Data mining algorithm predicts a range of adverse outcomes in major depression

HM van Loo, TB Bigdeli, Y Milaneschi… - Journal of Affective …, 2020 - research.rug.nl
Background: Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …

Data mining algorithm predicts a range of adverse outcomes in major depression.

HM van Loo, TB Bigdeli, Y Milaneschi… - Journal of Affective …, 2020 - psycnet.apa.org
Background: Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …

Data mining algorithm predicts a range of adverse outcomes in major depression

HM van Loo, TB Bigdeli… - Journal of affective …, 2020 - pubmed.ncbi.nlm.nih.gov
Background Course of illness in major depression (MD) is highly varied, which might lead to
both under-and overtreatment if clinicians adhere to a'one-size-fits-all'approach. Novel …