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Issue Date
Title
Author(s)
2023
Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model
Belsti, Y.
;
Moran, L.
;
Du, L.
;
Mousa, A.
;
De Silva, K.
;
Enticott, J.
;
Teede, H.
2023
Cardiovascular risk management following gestational diabetes and hypertensive disorders of pregnancy: a narrative review
Marschner, S.
;
Pant, A.
;
Henry, A.
;
Maple-Brown, L.J.
;
Moran, L.
;
Cheung, N.W.
;
Chow, C.K.
;
Zaman, S.
2020
Acupuncture or auricular electro-acupuncture as adjuncts to lifestyle interventions for weight management in PCOS: Protocol for a randomised controlled feasibility study
Ee, C.
;
Smith, C.A.
;
Costello, M.
;
Moran, L.
;
Steiner, G.Z.
;
Stepto, N.
;
Cave, A.
;
Albrehee, A.
;
Teede, H.
2020
"The whole package deal": experiences of overweight/obese women living with polycystic ovary syndrome
Ee, C.
;
Smith, C.
;
Moran, L.
;
MacMillan, F.
;
Costello, M.
;
Baylock, B.
;
Teede, H.
Discover
Author
3
Teede, H.
2
Costello, M.
2
Ee, C.
1
Albrehee, A.
1
Baylock, B.
1
Belsti, Y.
1
Cave, A.
1
Cheung, N.W.
1
Chow, C.K.
1
De Silva, K.
.
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Subject
1
Diabetes mellitus, type 2
1
Diabetes, gestational
1
Gestational diabetes mellitus
1
Hypertension
1
Machine learning
1
Obesity
1
Polycystic ovary syndrome
1
Polycystic ovary syndrome; PCOS; ...
1
Predictive model
1
Pregnancy complications
.
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Date issued
2
2023
2
2020