Machine Learning Models for Prediction of Sex Based on Lumbar Vertebral Morphometry.

Background: Identifying skeletal remains has been and will remain a challenge for forensic experts and forensic anthropologists, especially in disasters with multiple victims or skeletal remains in an advanced stage of decomposition. This study examined the performance of two machine learning (ML) algorithms in predicting the person's sex based only on the morphometry of L1-L5 lumbar vertebrae collected recently from Romanian individuals. The purpose of the present study was to assess whether by using the machine learning (ML) techniques one can obtain a reliable prediction of sex in forensic identification based only on the parameters obtained from the metric analysis of the lumbar spine.

Identification of preferred reminder systems and patient factors to promote adherence in the management of urinary incontinence.

Objective: To investigate comfort level and preferences of automated reminder systems (mail, email, text message, phone call, patient-portal message, and/or smartphone application) to promote adherence to recommended therapies for patients seeking care for urinary incontinence (UI) at our urology clinic in Phoenix, Arizona.

Methods: Anonymous surveys were distributed in English to adult patients with UI from 4/2019-5/2019. Patient demographics, UI type, and access to and use of the Internet, smartphone and patient-portal were assessed.

The role of in-person focus groups in the management of urinary incontinence in women from a mixed-methods, randomized pilot study.

Purpose: To assess the quantitative and qualitative components of in-person focus groups as a potential intervention for female patients with urinary incontinence.

Methods: Women over the age of 18 seeking treatment for UI were randomized to standard care with focus group participation or to standard care alone. All participants completed validated questionnaires: MESA, UDI-6, OAB-SAT-q, PGI-S, PGI-I, SQoL-F, PHQ-9, IPAQ at the beginning and conclusion of the study.