Concept

Personal health record

Related publications (34)

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...

New York2023

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions

Olga Fink, Jian Zhou

Limited availability of representative time-to-failure (TTF) trajectories either limits the performance of deep learning (DL)-based approaches on remaining useful life (RUL) prediction in practice or even precludes their application. Generating synthetic d ...

2023

Generating Controlled Physics-Informed Time-to-failure Trajectories for Prognostics in Unseen Operational Conditions

Olga Fink, Jian Zhou

Research Publishing2023

An Edible Bistable Tilt Sensor Enabling Autonomous Operation of a Partially Eatable Rolling Robot

Dario Floreano, Bokeon Kwak

Edible electronics and robotics are emerging areas intimately bridging food science and engineering to deliver technology using food-derived materials. Edible devices offer unprecedented opportunities thanks to features such as bioresorbability, nutritiona ...

2023

Estimating Auxiliary Power Supply Consumption of the Modular Multilevel Converter Submodule for the Condition Health Monitoring

Drazen Dujic, Ignacio Alejandro Polanco Lobos

Condition health monitoring strategies applied to different power electronics applications are gaining popularity as early component degradation detection can trigger preventive maintenance actions before a significant fault occurs. In highly modular conve ...

2022

SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices

David Atienza Alonso, Giulio Masinelli, Adriana Arza Valdes, Fabio Isidoro Tiberio Dell'Agnola

The photoplethysmographic (PPG) signal is an unobtrusive blood pulsewave measure that has recently gained popularity in the context of the Internet of Things. Even though it is commonly used for heart rate detection, it has been lately employed on multimod ...

2021

The Effects of Time-Restricted Eating versus Standard Dietary Advice on Weight, Metabolic Health and the Consumption of Processed Food: A Pragmatic Randomised Controlled Trial in Community-Based Adults

Felix Naef, Nicholas Edward Phillips

Weight loss is key to controlling the increasing prevalence of metabolic syndrome (MS) and its components, i.e., central obesity, hypertension, prediabetes and dyslipidaemia. The goals of our study were two-fold. First, we characterised the relationships ...

2021

Recommender System for Responsive Engagement of Senior Adults in Daily Activities

Pearl Pu Faltings, Igor Kulev, Yuan Lu

Understanding and predicting how people change their behavior after an intervention from time series data is an important task for health recommender systems. This task is especially challenging when the time series data is frequently sampled. In this pape ...

SPRINGER INTERNATIONAL PUBLISHING AG2020

Introduction to the Swiss Data Custodian

Marc-Edouard Baptiste Grégoire Schultheiss, Olivier Verscheure

Trust in the use of sensitive data is not nearly widespread. Even though there is no shortage in tools and methods to address the digitisation of our society and industries, the acquisition and access to non-open data represent the greatest challenge. In t ...

2019

Protecting Privacy and Security of Genomic Data in i2b2 with Homomorphic Encryption and Differential Privacy

Jean-Pierre Hubaux, Jean Louis Raisaro, Gwangbae Choi, Nathalie Jacquemont, Nicolas Rosat

Re-use of patients’ health records can provide tremendous benefits for clinical research. Yet, when researchers need to access sensitive/identifying data, such as genomic data, in order to compile cohorts of well-characterized patients for specific studies ...

IEEE2018

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