Dietary Patterns in Type-2 Diabetic Patients from Norheastern Romania

Iatcu, Camelia Oana; Cosman, Larisa; Dimian, Mihai; Covașă, Mihai

doi:10.1109/ehb47216.2019.8970056

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…The PHQ-9 scale evaluates the degree of depression in patients according to the following criteria: ≤ 4 points means the patient has no depression; 5-9 points means the patient has mild depression; 10-14 points means the patient has moderate depression; 15-19 points means the patient has middle to severe depression; a score of 20 and above indicates that the patient has severe depression. Use the Social Support Rating Scale (SSRS) to evaluate the level of individual social support [4]: The scale includes ten items, which are divided into objective support (includes 3 items), emotional support (includes 4 items) and social support (includes 3 items); the higher the score, the higher the level of social support.…”

Section: B Methodsmentioning

confidence: 99%

Medical Estimating PF Machine Learning and IoT in Melancholy among Diabetic Patients

Chaitanya Kulkarni

2023

IJRITCC

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To break down the frequency and related risk elements of sorrow in patients with type 2 diabetes mellitus in the nearby local area and give logical references to clinical anticipation and treatment of diabetes mellitus with wretchedness. Proposed strategies use AI more than 58 patients with type 2 diabetes mellitus were chosen by efficient inspecting, and pertinent surveys examined segment factors and related clinical variables and misery sub-scale (PHQ) was utilized to assess the level of sadness. Social help scale was utilized to survey the patients. SSRS are utilized to assess individual social help levels and lead measurable investigation. After assessment it's seen that among the 58 patients with type 2 diabetes, the rate of consolidated melancholy was 58%; the age, conjugal status, training level, occupation, family ancestry, term of diabetes, entanglements, work out. The distinction in friendly help was genuinely critical. The impacting elements of type 2 diabetes confounded with gloom incorporate age, conjugal status, training level, occupation, and family ancestry, span of diabetes, presence or nonappearance of confusions, exercise and social help. They have a high gamble of muddled sorrow and influence the improvement of diabetes.

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Section: B Methodsmentioning

confidence: 99%

Medical Estimating PF Machine Learning and IoT in Melancholy among Diabetic Patients

Chaitanya Kulkarni

2023

IJRITCC

View full text Add to dashboard Cite

show abstract

Dietary Patterns in Type-2 Diabetic Patients from Norheastern Romania

Cited by 1 publication

References 13 publications

Medical Estimating PF Machine Learning and IoT in Melancholy among Diabetic Patients

Medical Estimating PF Machine Learning and IoT in Melancholy among Diabetic Patients

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