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Titlebook: Women‘s Health in Clinical Practice; A Handbook for Prima Amy L. Clouse,Katherine Sherif Book 2008 Humana Press 2008 Diabetes.Internal medi

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21#
發(fā)表于 2025-3-25 03:57:38 | 只看該作者
Psychiatric Disorders in Women,e longstanding adaptation of this theory in the training of physicians, mental disorders remain underdiagnosed in primary care settings (.–.). Strategies to improve detection and treatment of mental disorders are imperative to the mental and physical health of a striking number of individuals worldw
22#
發(fā)表于 2025-3-25 10:20:13 | 只看該作者
23#
發(fā)表于 2025-3-25 12:39:24 | 只看該作者
Book 2008 obstetric and gynecologic issues, most primary care physicians have received little training in reproductive health issues even though they care for women and girls. In recent years, there has been growing recognition that sex differences do exist between the organ systems of women and men, and res
24#
發(fā)表于 2025-3-25 15:54:56 | 只看該作者
2364-1150 cervical cancer, eating disorders, and more.Traditionally, women’s health has been synonymous with obstetrics and gynecology. With the exception of Family Medicine physicians who are trained in obstetric and gynecologic issues, most primary care physicians have received little training in reproducti
25#
發(fā)表于 2025-3-25 21:22:13 | 只看該作者
26#
發(fā)表于 2025-3-26 03:57:30 | 只看該作者
27#
發(fā)表于 2025-3-26 06:48:03 | 只看該作者
28#
發(fā)表于 2025-3-26 09:47:58 | 只看該作者
Deborah M. Bethards MD,Ann Ouyang MBBS column matrices defined in Chapter 4 (provided they have three rows) are the same mathematically, but it is unusual and in my view confusing to couch three-dimensional applications of vectors in terms of matrix algebra. The notation used in this chapter is standard throughout engineering and applied science.
29#
發(fā)表于 2025-3-26 15:29:37 | 只看該作者
30#
發(fā)表于 2025-3-26 20:08:04 | 只看該作者
Harriette M. Scarpero MD,Tamara G. Bavendam MDtation techniques, which can automatically segment the solitary pulmonary nodules from high-resolution computed tomography (CT) images and then we propose a computerized lung nodule risk prediction model based on the best segmentation technique.
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