Incidence, risk factors, and burden of incisional hernia repair after abdominal surgery in France: a nationwide study
P Ortega-Deballon, Y Renard, J De Launay, T Lafon… - Hernia, 2023 - Springer
Purpose Incisional hernias are common after laparotomies. The aims of this study were to
assess the rate of incisional hernia repair after abdominal surgery, recurrence rate, hospital …
assess the rate of incisional hernia repair after abdominal surgery, recurrence rate, hospital …
Perspectives on machine learning-assisted plasma medicine: Toward automated plasma treatment
Cold atmospheric plasmas (CAPs) have shown great promise for medical applications
through their synergistic chemical, electrical, and thermal effects, which can induce …
through their synergistic chemical, electrical, and thermal effects, which can induce …
Machine learning based malaria prediction using clinical findings
Even today, Malaria is the most deadly disease in Asia and sub-Saharan Africa and
particularly in Senegal. This is mainly due to inadequate medical care support with frequent …
particularly in Senegal. This is mainly due to inadequate medical care support with frequent …
Identification of patient profiles with high risk of hospital re-admissions for acute COPD exacerbations (AECOPD) in France using a machine learning model
A Cavailles, B Melloni, S Motola, F Dayde… - … Journal of Chronic …, 2020 - Taylor & Francis
Purpose To characterise patients with chronic obstructive pulmonary disease (COPD) who
are rehospitalised for an acute exacerbation, to estimate the cost of these hospitalisations, to …
are rehospitalised for an acute exacerbation, to estimate the cost of these hospitalisations, to …
Enhancing predictive performance for spectroscopic studies in wildlife science through a multi-model approach: A case study for species classification of live …
Near infrared spectroscopy coupled with predictive modeling is a growing field of study for
addressing questions in wildlife science aimed at improving management strategies and …
addressing questions in wildlife science aimed at improving management strategies and …
Automatic and explainable labeling of medical event logs with autoencoding
H De Oliveira, V Augusto, B Jouaneton… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Process mining is a suitable method for knowledge extraction from patient pathways.
Structured in event logs, medical events are complex, often described using various medical …
Structured in event logs, medical events are complex, often described using various medical …
[图书][B] Skenario Ruang Waktu
I Mustofa - 2021 - books.google.com
Page 1 Po skenario ruang waktu IKROM MUSTOFA Page 2 Page 3 Skenario Ruang Waktu
IKROM MUSTOFA Page 4 Sanksi Pelanggaran Pasal 113 Undang-Undang Nomor 28 Tahun …
IKROM MUSTOFA Page 4 Sanksi Pelanggaran Pasal 113 Undang-Undang Nomor 28 Tahun …
Explaining predictive factors in patient pathways using autoencoders
H De Oliveira, P Martin, L Ludovic, A Vincent… - Plos one, 2022 - journals.plos.org
This paper introduces an end-to-end methodology to predict a pathway-related outcome and
identifying predictive factors using autoencoders. A formal description of autoencoders for …
identifying predictive factors using autoencoders. A formal description of autoencoders for …
On the efficiency of machine learning models in Malaria prediction
Malaria is still a real public health concern in Sub-Saharan African countries such as
Senegal where it represents approximately 35% of the consultation activities in the …
Senegal where it represents approximately 35% of the consultation activities in the …
An optimization-based process mining approach for explainable classification of timed event logs
H De Oliveira, V Augusto, B Jouaneton… - 2020 IEEE 16th …, 2020 - ieeexplore.ieee.org
This paper addresses the problem of supervised classification of time event logs of two
classes: positive and negative population. The key idea of this paper to explain classification …
classes: positive and negative population. The key idea of this paper to explain classification …