{"id":2881,"date":"2024-02-18T15:29:57","date_gmt":"2024-02-18T15:29:57","guid":{"rendered":"https:\/\/esisoc.com\/resource\/neural-network-implementation-for-better-cycle-predictions-success-story-of-flo\/"},"modified":"2024-02-18T15:29:57","modified_gmt":"2024-02-18T15:29:57","slug":"neural-network-implementation-for-better-cycle-predictions-success-story-of-flo","status":"publish","type":"resource","link":"https:\/\/esisoc.com\/fr\/resource\/mise-en-oeuvre-dun-reseau-neuronal-pour-de-meilleures-previsions-de-cycle-success-story-de-flo\/","title":{"rendered":"Mise en \u0153uvre d'un r\u00e9seau neuronal pour une meilleure pr\u00e9vision des cycles. Histoire de la r\u00e9ussite de Flo"},"content":{"rendered":"<h2 style=\"text-align: center;\">D\u00e9tails cl\u00e9s<\/h2>\n<p>Am\u00e9lioration de la pr\u00e9cision des pr\u00e9visions de cycle jusqu'\u00e0 54,2%.<\/p>\n<div>\n<ul>\n<li>\n<div>D\u00e9fi<\/div>\n<div>Pr\u00e9diction des cycles f\u00e9minins irr\u00e9guliers<\/div>\n<\/li>\n<li>\n<div>Solution<\/div>\n<div>Int\u00e9gration de r\u00e9seaux neuronaux pour la pr\u00e9diction du cycle menstruel<\/div>\n<\/li>\n<li>\n<div>Technologies et outils<\/div>\n<div>Python<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<h2 style=\"text-align: center;\">Client<\/h2>\n<p>Flo est un indicateur de menstruation intelligent qui pr\u00e9dit avec pr\u00e9cision les cycles menstruels, l'ovulation et les jours fertiles des femmes.<\/p>\n<h2 style=\"text-align: center;\">D\u00e9fi : am\u00e9liorer les pr\u00e9visions des cycles irr\u00e9guliers pour les utilisateurs de l'application<\/h2>\n<p>Environ 30% de femmes dans le monde sont confront\u00e9es \u00e0 des r\u00e8gles irr\u00e9guli\u00e8res, mais la majorit\u00e9 des dispositifs mobiles de suivi des r\u00e8gles ne sont pas en mesure de fournir des pr\u00e9visions pr\u00e9cises pour ces femmes.<\/p>\n<p>Lorsque Flo a d\u00e9cid\u00e9 de s'associer \u00e0 ESSID Solutions pour la mise en \u0153uvre d'un r\u00e9seau neuronal, sa base de donn\u00e9es contenait plus de 450 Go d'informations sur les utilisatrices. Chaque jour, les femmes enregistrent manuellement environ 1,4 million de nouveaux points de donn\u00e9es, notamment l'historique des cycles, les r\u00e9sultats des tests d'ovulation et de grossesse, l'\u00e2ge, la taille, le poids, le mode de vie, les statistiques sur le sommeil, l'activit\u00e9 et la nutrition. En outre, davantage de donn\u00e9es proviennent de dispositifs portables tels que Fitbit et Apple Watch.<\/p>\n<p>Une formule cr\u00e9\u00e9e pour une \"femme moyenne\" ne peut rivaliser avec les r\u00e9seaux neuronaux lorsque nous traitons le volume, la vitesse et la vari\u00e9t\u00e9 des donn\u00e9es.<\/p>\n<h2 style=\"text-align: center;\">Solution : mise en \u0153uvre d'un r\u00e9seau neuronal pour une meilleure pr\u00e9vision du cycle menstruel<\/h2>\n<p>Le r\u00e9seau neuronal de Flo comporte 442 unit\u00e9s d'entr\u00e9e qui re\u00e7oivent une vari\u00e9t\u00e9 de caract\u00e9ristiques con\u00e7ues \u00e0 partir des informations que les femmes ont fournies \u00e0 l'application. La combinaison des caract\u00e9ristiques est unique pour chaque femme et chaque caract\u00e9ristique a un impact diff\u00e9rent sur les pr\u00e9dictions.<\/p>\n<p>Le travail difficile de hi\u00e9rarchisation des caract\u00e9ristiques et de pr\u00e9diction de la longueur du cycle est effectu\u00e9 par le r\u00e9seau neuronal. Il apprend en permanence en comparant ses pr\u00e9dictions aux r\u00e9sultats r\u00e9els (enregistr\u00e9s manuellement par les utilisateurs) et ajuste les interconnexions entre ses unit\u00e9s d'entr\u00e9e et de sortie au fil du temps.<\/p>\n<p>La couche de sortie est repr\u00e9sent\u00e9e par une seule unit\u00e9 qui transmet le nombre pr\u00e9dit de jours dans le cycle.<\/p>\n<p>L'\u00e9quipe d'ESSID Solutions a trouv\u00e9 la source des nouvelles fonctionnalit\u00e9s dans le caract\u00e8re unique des utilisateurs de l'application. Les femmes enregistrent manuellement leur humeur, leur activit\u00e9 physique int\u00e9rieure, leurs sympt\u00f4mes tels que les maux de t\u00eate, la fatigue ou l'acn\u00e9, qui forment parfois un sch\u00e9ma stable qui se r\u00e9p\u00e8te certains jours du cycle.<\/p>\n<p>Ces mod\u00e8les uniques et reproductibles sont si particuliers qu'aucun \u00eatre humain ne peut cr\u00e9er suffisamment de r\u00e8gles pour les saisir tous, mais ils peuvent \u00eatre si \u00e9vidents et stables pour une femme donn\u00e9e qu'en les analysant, le r\u00e9seau neuronal peut faire une meilleure pr\u00e9diction. C'est pour cette raison que le r\u00e9seau neuronal <a href=\"https:\/\/essidsolutions.com\/\">\u00e9quipe science des donn\u00e9es<\/a> qui travaillent sur le projet ont mis au point un algorithme d'apprentissage automatique capable de saisir les sch\u00e9mas uniques du cycle menstruel de chaque femme.<\/p>\n<p>Techniquement, cela se fait en deux \u00e9tapes :<\/p>\n<ul>\n<li>Les mod\u00e8les uniques sont reconnus par <a href=\"http:\/\/localhost\/essidsolutions\/service\/machine-learning-consulting\">mod\u00e8les d'apprentissage automatique au niveau individuel<\/a>.<\/li>\n<li>Les mod\u00e8les sont transform\u00e9s en caract\u00e9ristiques pour le r\u00e9seau neuronal.<\/li>\n<\/ul>\n<p>Ainsi, la sortie d'un algorithme devient une caract\u00e9ristique suppl\u00e9mentaire pour le r\u00e9seau neuronal.<\/p>\n<p>La beaut\u00e9 du r\u00e9seau neuronal de Flo est qu'il conna\u00eet les statistiques g\u00e9n\u00e9rales et les r\u00e8gles communes qui fonctionnent pour les plus de 5 millions de femmes qui utilisent l'application, mais il traite chaque femme comme une personne unique avec ses caract\u00e9ristiques corporelles et son mode de vie uniques.<\/p>\n<h2 style=\"text-align: center;\">R\u00e9sultat : une meilleure pr\u00e9vision des cycles irr\u00e9guliers<\/h2>\n<p>La version actuelle du r\u00e9seau neuronal de Flo par ESSID Solutions peut am\u00e9liorer les pr\u00e9visions de cycles irr\u00e9guliers jusqu'\u00e0 54,2% en fonction de la qualit\u00e9 des donn\u00e9es d'entr\u00e9e, avec une erreur de pr\u00e9vision r\u00e9duite de 5,6 \u00e0 2,6 jours.<\/p>\n<p>Flo est devenue l'application la plus t\u00e9l\u00e9charg\u00e9e au monde dans sa cat\u00e9gorie quelques mois apr\u00e8s l'utilisation du r\u00e9seau neuronal. <a href=\"http:\/\/localhost\/essidsolutions\/service\/predictive-analytics\">dans son algorithme de pr\u00e9diction<\/a>.<\/p>\n<blockquote>\n<p><span style=\"font-weight: 400;\">En tant qu'entreprise en pleine croissance, nous avons trouv\u00e9 l'expertise d'ESSID Solutions en mati\u00e8re de science des donn\u00e9es inestimable. En presque deux ans de collaboration, ils nous ont aid\u00e9s \u00e0 d\u00e9finir notre strat\u00e9gie d'analyse de donn\u00e9es, \u00e0 construire un pipeline de donn\u00e9es \u00e9volutif et \u00e0 am\u00e9liorer les pr\u00e9dictions du cycle menstruel gr\u00e2ce \u00e0 un r\u00e9seau neuronal sophistiqu\u00e9.<\/span><\/p>\n<\/blockquote>\n<p style=\"text-align: right;\">- Andrew Kovzel, responsable de la science des donn\u00e9es, Flo<\/p>","protected":false},"excerpt":{"rendered":"<p>D\u00e9tails cl\u00e9s Am\u00e9lioration de la pr\u00e9cision des pr\u00e9dictions de cycle jusqu'\u00e0 54,2%. D\u00e9fi Pr\u00e9diction des cycles irr\u00e9guliers des femmes Solution Int\u00e9gration de r\u00e9seaux neuronaux pour la pr\u00e9diction des cycles menstruels Technologies et outils Python Client Flo est un outil intelligent de suivi des r\u00e8gles qui pr\u00e9dit avec pr\u00e9cision les cycles menstruels des femmes, l'ovulation et les jours fertiles. D\u00e9fi : am\u00e9liorer la pr\u00e9diction des cycles irr\u00e9guliers pour l'application ... Lire plus <a title=\"Mise en \u0153uvre d&#039;un r\u00e9seau neuronal pour une meilleure pr\u00e9vision des cycles. Histoire de la r\u00e9ussite de Flo\" class=\"read-more\" href=\"https:\/\/esisoc.com\/fr\/resource\/mise-en-oeuvre-dun-reseau-neuronal-pour-de-meilleures-previsions-de-cycle-success-story-de-flo\/\" aria-label=\"Read more about Neural Network Implementation for Better Cycle Predictions. Success Story of Flo\">Lire plus<\/a><\/p>","protected":false},"featured_media":2882,"template":"","industry":[48],"expertise":[81,86,43],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.9 (Yoast SEO v21.9.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Neural Network Implementation for Better Cycle Predictions. 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