Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine Learning

Background Preferences for music can be represented through music features. The widespread prevalence of music streaming has allowed for music feature information to be consolidated by service providers like Spotify. In this paper, we demonstrate that machine learning classification on cultural market membership (Taiwanese, Japanese, American) by music features reveals variations in popular music across these markets. Methods We present an exploratory analysis of 1.08 million songs centred on Taiwanese, Japanese and American markets. We use both multiclass classification models (Gradient Boosted Decision Trees (GBDT) and Multilayer Perceptron (MLP)), and binary classification models, and interpret their results using variable importance measures and Partial Dependence Plots. To ensure the reliability of our interpretations, we conducted a follow-up study comparing Top-50 playlists from Taiwan, Japan, and the US on identified variables of importance. Results The multiclass models achieved moderate classification accuracy (GBDT = 0.69, MLP = 0.66). Accuracy scores for binary classification models ranged between 0.71 to 0.81. Model interpretation revealed music features of greatest importance: Overall, popular music in Taiwan was characterised by high acousticness, American music was characterised by high speechiness, and Japanese music was characterised by high energy features. A follow-up study using Top-50 charts found similarly significant differences between cultures for these three features. Conclusion We demonstrate that machine learning can reveal both the magnitude of differences in music preference across Taiwanese, Japanese, and American markets, and where these preferences are different. While this paper is limited to Spotify data, it underscores the potential contribution of machine learning in exploratory approaches to research on cultural differences.

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European evidence-based guidelines on pancreatic cystic neoplasms

Gut ◽

10.1136/gutjnl-2018-316027 ◽

2018 ◽

Vol 67 (5) ◽

pp. 789-804 ◽

Cited By ~ 258

Author(s):

Keyword(s):

Mucinous Cystic Neoplasm ◽

Cystic Neoplasm ◽

Evidence Based ◽

Indications For Surgery ◽

Cystic Neoplasms ◽

Serous Cystic Neoplasm ◽

Pancreatic Cystic Neoplasms ◽

Grade Methodology ◽

Evidence Based Guidelines

Evidence-based guidelines on the management of pancreatic cystic neoplasms (PCN) are lacking. This guideline is a joint initiative of the European Study Group on Cystic Tumours of the Pancreas, United European Gastroenterology, European Pancreatic Club, European-African Hepato-Pancreato-Biliary Association, European Digestive Surgery, and the European Society of Gastrointestinal Endoscopy. It replaces the 2013 European consensus statement guidelines on PCN. European and non-European experts performed systematic reviews and used GRADE methodology to answer relevant clinical questions on nine topics (biomarkers, radiology, endoscopy, intraductal papillary mucinous neoplasm (IPMN), mucinous cystic neoplasm (MCN), serous cystic neoplasm, rare cysts, (neo)adjuvant treatment, and pathology). Recommendations include conservative management, relative and absolute indications for surgery. A conservative approach is recommended for asymptomatic MCN and IPMN measuring <40 mm without an enhancing nodule. Relative indications for surgery in IPMN include a main pancreatic duct (MPD) diameter between 5 and 9.9 mm or a cyst diameter ≥40 mm. Absolute indications for surgery in IPMN, due to the high-risk of malignant transformation, include jaundice, an enhancing mural nodule >5 mm, and MPD diameter >10 mm. Lifelong follow-up of IPMN is recommended in patients who are fit for surgery. The European evidence-based guidelines on PCN aim to improve the diagnosis and management of PCN.

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12.4 CAN MACHINE LEARNING HELP IDENTIFY CHILDHOOD RISK INDICATORS OF FUTURE DEVELOPMENT OF BIPOLAR DISORDER? RESULTS FROM A 10-YEAR LONGITUDINAL FOLLOW-UP STUDY

Journal of the American Academy of Child & Adolescent Psychiatry ◽

10.1016/j.jaac.2021.07.621 ◽

2021 ◽

Vol 60 (10) ◽

pp. S277

Author(s):

Qasim Bukhari

Keyword(s):

Machine Learning ◽

Bipolar Disorder ◽

Future Development ◽

Risk Indicators ◽

Follow Up Study

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Letter to the editor regarding “Traumatic hip fracture-dislocation: A middle-term follow up study and a proposal of new classification system of hip joint associated injury”

Injury ◽

10.1016/j.injury.2019.08.031 ◽

2019 ◽

Vol 50 (11) ◽

pp. 2138-2139

Author(s):

Saubhik Das

Keyword(s):

Hip Fracture ◽

Hip Joint ◽

Classification System ◽

Fracture Dislocation ◽

New Classification ◽

Middle Term ◽

Associated Injury ◽

Follow Up Study ◽

Letter To The Editor

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A Longitudinal Follow-Up Study of Young Children's Sleep Patterns Using a Developmental Classification System

Behavioral Sleep Medicine ◽

10.1207/s15402010bsm0301_6 ◽

2005 ◽

Vol 3 (1) ◽

pp. 44-61 ◽

Cited By ~ 55

Author(s):

Erika E. Gaylor ◽

Melissa M. Burnham ◽

Beth L. Goodlin-Jones ◽

Thomas F. Anders

Keyword(s):

Classification System ◽

Sleep Patterns ◽

Follow Up Study ◽

Children’S Sleep

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Giant mucinous cystic neoplasm of the pancreas

Trakia Journal of Sciences ◽

10.15547/tjs.2019.03.016 ◽

2019 ◽

Vol 17 (3) ◽

pp. 273-276

Author(s):

A. Saroglu ◽

A. Julianov

Keyword(s):

Mucinous Cystic Neoplasm ◽

Cystic Neoplasm ◽

Low Grade ◽

Cystic Neoplasms ◽

Mucinous Cystic Neoplasms ◽

Distal Pancreas ◽

Hormone Sensitive ◽

Distal Pancreatosplenectomy ◽

Left Abdomen

Mucinous cystic neoplasms (MCN) of the pancreas occur mostly in females and are potentially sex hormone-sensitive. MCNs are more common in women with a peak incidence in the fifth decade. They are usually located in the distal pancreas, and frequently grow up to a size of 8–10 cm. We report a case of giant MCN of the pancreas in a 31-year old female patient, occupying entire left abdomen, successfully treated with distal pancreatosplenectomy. Histology demonstrated MCN with low-grade dysplasia. At 4 year of follow-up, the patient is free of disease.

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