PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Endocrinology and Metabolism10.3803/enm.2020.35.1.71202035171Machine Learning Applications in Endocrinology and Metabolism Research: An OverviewNamki Hong, Heajeong Park, Yumie Rheehttps://synapse.koreamed.org/pdf/10.3803/EnM.2020.35.1.71, https://synapse.koreamed.org/DOIx.php?id=10.3803/EnM.2020.35.1.71, https://synapse.koreamed.org/DOIx.php?id=10.3803/EnM.2020.35.1.71
Endocrinology and Metabolism10.3803/enm.2021.11112021365928-937Applications of Machine Learning in Bone and Mineral ResearchSung Hye Kong, Chan Soo Shinhttp://e-enm.org/upload/pdf/enm-2021-1111.pdf, http://e-enm.org/journal/view.php?doi=10.3803/EnM.2021.1111, http://e-enm.org/upload/pdf/enm-2021-1111.pdf
Machine Learning Applications Using Python10.1007/978-1-4842-3787-8_132018259-270Overview of Machine Learning in FinancePuneet Mathurhttp://link.springer.com/content/pdf/10.1007/978-1-4842-3787-8_13
Machine Learning Applications Using Python10.1007/978-1-4842-3787-8_72018147-157Overview of Machine Learning in RetailPuneet Mathurhttp://link.springer.com/content/pdf/10.1007/978-1-4842-3787-8_7
Machine Learning Applications Using Python10.1007/978-1-4842-3787-8_120181-11Overview of Machine Learning in HealthcarePuneet Mathurhttp://link.springer.com/content/pdf/10.1007/978-1-4842-3787-8_1
Best Practice & Research Clinical Endocrinology & Metabolism10.1016/j.beem.2018.09.0112018326781-790Genetics of parathyroids disorders: OverviewFalchetti Albertohttps://api.elsevier.com/content/article/PII:S1521690X18301118?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1521690X18301118?httpAccept=text/plain
Machine Learning in Biological Sciences10.1007/978-981-16-8881-2_120221-18A Brief Overview of Applications of Machine Learning in Life SciencesShyamasree Ghosh, Rathi Dasguptahttps://link.springer.com/content/pdf/10.1007/978-981-16-8881-2_1
Best Practice & Research Clinical Endocrinology & Metabolism10.1016/j.beem.2019.03.0012019333101265Puberty: Normal physiology (brief overview)Claire L. Wood, Laura C. Lane, Tim Cheethamhttps://api.elsevier.com/content/article/PII:S1521690X19300089?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1521690X19300089?httpAccept=text/plain
Best Practice & Research Clinical Endocrinology & Metabolism10.1016/s1521-690x(12)00019-x201226S1-S61 Hyponatraemia: an overview of frequency, clinical presentation and complicationsChris Thompson, Ewout J. Hoornhttps://api.elsevier.com/content/article/PII:S1521690X1200019X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1521690X1200019X?httpAccept=text/plain
Machine Learning Paradigms10.1007/978-3-030-15628-2_4201967-127Machine Learning Approaches for Pap-Smear Diagnosis: An OverviewE. Karampotsis, G. Dounias, J. Jantzenhttp://link.springer.com/content/pdf/10.1007/978-3-030-15628-2_4