Results 231 to 240 of about 3,788,125 (317)
Long-term trends in Post-COVID severity: a machine learning analysis from the POP/COVIDOM cohort of the German NAPKON Cohort Network. [PDF]
Gutzeit J +24 more
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A longitudinal comparison of symptom-distress and person-centeredness between a fast-track programme for cardiac surgery and conventional care. [PDF]
Dalvindt M +3 more
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Network analysis of symptom clusters among patients with pulmonary tuberculosis: a cross-sectional study. [PDF]
Kong H +7 more
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Network analysis of sleep quality-anxiety-depressive symptoms among patients with chronic heart failure. [PDF]
Liao T, Gan Y, Du Y, Huang W, Li G.
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The Inter-Connectedness of Post-Traumatic Stress Disorder (PTSD) Symptomatology Across the Lifespan
Hertz-Palmor N +11 more
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Premenstrual Symptoms: Delineating Symptom Clusters
Journal of Women's Health & Gender-Based Medicine, 1999The purposes of this study were to (1) identify the clusters of symptoms women experience during the premenstruum, (2) assess the reliability of the symptom clusters as reported by a population-based sample and a sample of women with three perimenstrual symptom patterns, (3) compare the levels of severity for the symptom clusters across menstrual cycle
N F, Woods, E S, Mitchell, M, Lentz
openaire +2 more sources
Life events do not predict symptoms: Symptoms predict symptoms
Journal of Behavioral Medicine, 1987The effects of life events and previous symptoms on current symptom levels were examined in a model using data from a 3-year prospective study. Male psychiatric patients and nonpatients reported on life events and symptoms every 2 months on 18 occasions.
I, Grant +3 more
openaire +2 more sources
Computers and Electronics in Agriculture, 2018
Manual approaches to recognize cucumber diseases are often time-consuming, laborious and subjective. A deep convolutional neural network (DCNN) was proposed to conduct symptom-wise recognition of four cucumber diseases, i.e., anthracnose, downy mildew ...
Juncheng Ma +5 more
semanticscholar +1 more source
Manual approaches to recognize cucumber diseases are often time-consuming, laborious and subjective. A deep convolutional neural network (DCNN) was proposed to conduct symptom-wise recognition of four cucumber diseases, i.e., anthracnose, downy mildew ...
Juncheng Ma +5 more
semanticscholar +1 more source

